The document discusses using Google advanced search commands and operators to find product sourcing opportunities and potential customers online. It provides over 40 examples of advanced search phrases and strategies for reverse engineering photos from eBay listings to discover vendors. Additionally, it recommends real-time analytics websites like Realtime, Topsy, and SocialMention to find discussions and engage with like-minded customers.
eBay Search Science, IEEE Big Data, April 3rd, 2015Brian Johnson
Topic: eBay Search Science: Leveraging Behavioral Data Analysis for Effective Query Reformulation
Brian will talk about combing through behavioral log files with Scala on Hadoop in order to generate large data sets used to drive dynamic, online query rewrites at eBay. He’ll cover the product/feature pipeline from ideation to data mining, prototyping, statistical analysis, offline side by side analysis, human judgment, online experimentation, and finally launch. Time permitting he will also touch on statistical machine translation based spell correction and machine learned search spam detection.
2011 Search Query Rewrites - Synonyms & AcronymsBrian Johnson
July 27, 2011 Bay Area Search Presentation
Brian Johnson, Engineering Director, Query Services @ eBay
Query expansion is an important part of of the search recall for all search engines. In this talk I'll discuss some of the general trend driving Hadoop adoption within the Search Query Services team at eBay, and the types of algorithms/techniques we've moved to Hadoop at eBay. Over time we've moved from smaller, editorial data sets to large machine generated data sets mined from behavior log data, items/listings, catalogs, etc. One common workflow is to mine large candidate rewrites/expansions data sets from multiple data sources, use crowd sourced human judgment to classify a subset of the candidates (true positive, false positive), use machine learning techniques discard false positives, run automated validation on the final data set, and automatically push to production.
Ravi Jammalakadaka, Senior Applied Researcher, Query Services @ eBay
Ravi is a real engineer. Not a pointy haired manager like the previous speaker. Expect some real engineering:-) He'll be doing a literature review for acronym mining and discussing a real world implementation.
Title: Mining Acronyms From Raw Text
Abstract: Significant number of eBay products are known by their acronyms. eBay query expansion service expands user queries by their acronym equivalents to increase recall. The challenge is to mine acronyms from either seller ( ex. item descriptions, titles) or buyer ( ex. queries) data.
Ravi will present the state of the art algorithms from recent conferences that mine acronyms from raw text and present their limitations. He will present a new acronym mining algorithm that seeks to address the limitations identified with previous algorithms. He will present a machine learning classifier that seeks to remove the false positives generated from the acronym mining algorithm.
Overview of structured search technology. Using the structure of a document to create better search results for document search and retrieval.
How both search precision and recall is improved when the structure of a document is used.
How a keyword match in a title of a document can be used to boost the search score.
Case studies with the eXist native XML database.
Steps to set up a pilot project.
The eBay Architecture: Striking a Balance between Site Stability, Feature Ve...Randy Shoup
The eBay architecture document discusses how eBay scales its platform to handle massive traffic while maintaining high availability and rapid feature development. Some key points are:
1) eBay uses horizontal scaling techniques like database sharding and separating functions across application servers to scale individual components.
2) The architecture emphasizes statelessness, caching, and minimizing database transactions to improve scalability and availability.
3) eBay evolved its architecture over several major versions to address scaling issues and allow for exponential growth in users and traffic over time.
Hadoop World 2011 Keynote: Ebay - Hugh WilliamsCloudera, Inc.
Hugh Williams will discuss building Cassini, a new search engine at eBay which processes over 250 million search queries and serves more than 2 billion page views each day. Hugh will trace the genesis and building of Cassini as well as highlight and demonstrate the key features of this new search platform. He will discuss some of the challenges in scaling arguably the world’s largest real-time search problem, including the unique considerations associated with e-commerce and eBay’s domain, and how Hadoop and HBase are used to solve these problems
The document discusses eBay's architecture and strategies for maintaining scalability and agility. It describes eBay's large scale, including billions of daily interactions. It also outlines eBay's transition to more automated, cloud-based infrastructure and a next generation service-oriented platform. This is intended to improve development productivity while allowing faster innovation and time-to-market through increased infrastructure and platform services.
HBaseCon 2013: Near Real Time Indexing for eBay SearchCloudera, Inc.
Near Real Time Indexing for ebay Search
The document discusses eBay's near real time indexing pipeline to build indexes for search within minutes of data updates. It outlines the challenges of handling a large volume of updates at scale and describes optimizations made to HBase and the indexing process to reduce indexing time and improve stability. These include improved HBase configuration, major compaction scheduling, and standalone indexing to reduce overhead.
The SlideShare 101 is a quick start guide if you want to walk through the main features that the platform offers. This will keep getting updated as new features are launched.
The SlideShare 101 replaces the earlier "SlideShare Quick Tour".
eBay Search Science, IEEE Big Data, April 3rd, 2015Brian Johnson
Topic: eBay Search Science: Leveraging Behavioral Data Analysis for Effective Query Reformulation
Brian will talk about combing through behavioral log files with Scala on Hadoop in order to generate large data sets used to drive dynamic, online query rewrites at eBay. He’ll cover the product/feature pipeline from ideation to data mining, prototyping, statistical analysis, offline side by side analysis, human judgment, online experimentation, and finally launch. Time permitting he will also touch on statistical machine translation based spell correction and machine learned search spam detection.
2011 Search Query Rewrites - Synonyms & AcronymsBrian Johnson
July 27, 2011 Bay Area Search Presentation
Brian Johnson, Engineering Director, Query Services @ eBay
Query expansion is an important part of of the search recall for all search engines. In this talk I'll discuss some of the general trend driving Hadoop adoption within the Search Query Services team at eBay, and the types of algorithms/techniques we've moved to Hadoop at eBay. Over time we've moved from smaller, editorial data sets to large machine generated data sets mined from behavior log data, items/listings, catalogs, etc. One common workflow is to mine large candidate rewrites/expansions data sets from multiple data sources, use crowd sourced human judgment to classify a subset of the candidates (true positive, false positive), use machine learning techniques discard false positives, run automated validation on the final data set, and automatically push to production.
Ravi Jammalakadaka, Senior Applied Researcher, Query Services @ eBay
Ravi is a real engineer. Not a pointy haired manager like the previous speaker. Expect some real engineering:-) He'll be doing a literature review for acronym mining and discussing a real world implementation.
Title: Mining Acronyms From Raw Text
Abstract: Significant number of eBay products are known by their acronyms. eBay query expansion service expands user queries by their acronym equivalents to increase recall. The challenge is to mine acronyms from either seller ( ex. item descriptions, titles) or buyer ( ex. queries) data.
Ravi will present the state of the art algorithms from recent conferences that mine acronyms from raw text and present their limitations. He will present a new acronym mining algorithm that seeks to address the limitations identified with previous algorithms. He will present a machine learning classifier that seeks to remove the false positives generated from the acronym mining algorithm.
Overview of structured search technology. Using the structure of a document to create better search results for document search and retrieval.
How both search precision and recall is improved when the structure of a document is used.
How a keyword match in a title of a document can be used to boost the search score.
Case studies with the eXist native XML database.
Steps to set up a pilot project.
The eBay Architecture: Striking a Balance between Site Stability, Feature Ve...Randy Shoup
The eBay architecture document discusses how eBay scales its platform to handle massive traffic while maintaining high availability and rapid feature development. Some key points are:
1) eBay uses horizontal scaling techniques like database sharding and separating functions across application servers to scale individual components.
2) The architecture emphasizes statelessness, caching, and minimizing database transactions to improve scalability and availability.
3) eBay evolved its architecture over several major versions to address scaling issues and allow for exponential growth in users and traffic over time.
Hadoop World 2011 Keynote: Ebay - Hugh WilliamsCloudera, Inc.
Hugh Williams will discuss building Cassini, a new search engine at eBay which processes over 250 million search queries and serves more than 2 billion page views each day. Hugh will trace the genesis and building of Cassini as well as highlight and demonstrate the key features of this new search platform. He will discuss some of the challenges in scaling arguably the world’s largest real-time search problem, including the unique considerations associated with e-commerce and eBay’s domain, and how Hadoop and HBase are used to solve these problems
The document discusses eBay's architecture and strategies for maintaining scalability and agility. It describes eBay's large scale, including billions of daily interactions. It also outlines eBay's transition to more automated, cloud-based infrastructure and a next generation service-oriented platform. This is intended to improve development productivity while allowing faster innovation and time-to-market through increased infrastructure and platform services.
HBaseCon 2013: Near Real Time Indexing for eBay SearchCloudera, Inc.
Near Real Time Indexing for ebay Search
The document discusses eBay's near real time indexing pipeline to build indexes for search within minutes of data updates. It outlines the challenges of handling a large volume of updates at scale and describes optimizations made to HBase and the indexing process to reduce indexing time and improve stability. These include improved HBase configuration, major compaction scheduling, and standalone indexing to reduce overhead.
The SlideShare 101 is a quick start guide if you want to walk through the main features that the platform offers. This will keep getting updated as new features are launched.
The SlideShare 101 replaces the earlier "SlideShare Quick Tour".
This document provides tips and resources for conducting effective searches to find information for academic projects. It discusses being curious and using keywords, search tips, and various databases and sources. Some tips included are using broadening search terms like "comput*" and exact phrase searches. It also discusses evaluating information based on currency like age and updates, and authority like author qualifications. More resources are provided on the university library website for exploring topics and getting additional research help.
The document discusses keyword research and provides tips for going beyond single keyword phrases. It suggests looking at word patterns, word co-occurrences, niches, and various tools to expand keyword research. Examples are given of analyzing politician speeches based on distinctive word patterns and using keyword co-occurrence data to gain insights. A number of free online tools are also listed for brainstorming, analyzing keyword popularity and competitiveness, and taking a more expansive approach to keyword research.
Advertising with Linked Data in Web ContentMartin Hepp
Advertising with Linked Data in Web Content: From Semantic SEO to E-Commerce on the Web 3.0
Slides and audio from my talk given at the Knowledge Engineering Group of the University of Economics Prague.
http://keg.vse.cz/seminar.php?datetime=2011-04-06
This is the presentation that went along with the seminar that I gave on SEO. It showed you how to research your keywords, make your web site search engine friendly, optimize content for your target keywords, and other techniques to get your site noticed by Google and other search engines. It was presented on June 22, 2012 at the Iceberg in Fayetteville, AR.
This document provides 87 tips for using Google more effectively by leveraging advanced search features and operators. Some key tips include using Boolean operators like AND, OR, and NOT to refine searches, using modifiers like intitle, inurl, and site: to search specific fields or sites, and taking advantage of Google's built-in tools for calculations, conversions, definitions and more. The document encourages users to create a Google account to access additional personalized features and customization options.
This document provides tips and resources for finding information for academic projects. It discusses being curious and using effective search strategies like keywords, phrases, operators, and limiting searches. It also highlights the importance of evaluating sources based on currency, authority, and reliability. Resources recommended include library guides and databases for subjects like computing and engineering. Students are encouraged to explore beyond Google and utilize specialized academic databases and platforms like LinkedIn Learning available through the university library.
This document provides tips and resources for finding information for projects. It discusses being curious and using effective keywords and search tips to broaden searches. It encourages exploring various resources beyond Google, like evaluating currency and authority of sources. Specific resources mentioned include the library subject guides and LinkedIn Learning for additional tutorials. Contact information is provided for getting further help from the subject librarian.
This chapter discusses using Google search techniques to find security vulnerabilities on websites. It covers both basic operators like +, -, and " to refine searches, as well as advanced operators like allintext:, filetype:, and intitle: to search specific fields. The goal is to quickly find sensitive information like login credentials, passwords, or internal documents through structured searches. A variety of example searches are provided to demonstrate how different operators can reveal website details and potentially sensitive data.
This document provides tips and resources for conducting effective searches to find information for academic projects. It discusses being curious and using keywords, search tips, and databases. It encourages exploring beyond just Google by evaluating sources based on currency, authority, and related sites. Students are pointed to guides on searching techniques and computing resources on the university library website to aid their research.
Google is a search engine that indexes webpages and content on the internet. It allows users to search for keywords and returns relevant results from its index in less than a second. The document discusses various search engine concepts like how they work, different search features available on Google like boolean operators, phrase searching and file type limiting. It also introduces some other Google products and databases like Images, News, Books, Scholar etc. and how they can be used to find images, videos, books and scholarly articles on the topics searched.
This document provides tips and resources for conducting effective searches to find information for academic projects. It discusses being curious and using keywords, search tips, and databases. It encourages exploring beyond just Google by demonstrating alternative resources and evaluating sources based on currency, authority, and whether the information is verifiable. Contact information is provided for getting further library assistance.
Searching the internet - better with Google / Google not always bestEric Sieverts
Here are some key points about searching images:
- You can search by keywords on sites like Google Images, Yahoo Images, Bing Images, Flickr
- Flickr also allows filtering by Creative Commons licensed images
- Specialized sites include photograph archives and Wikimedia Commons
- Geographical search on sites like Panoramio and Instagram
- Content-based image retrieval allows searching by color, drawing an example, or uploading an existing image for sites like Google, Tineye, and Retrievr
- Tineye specifically finds almost exact copies which can help identify copyright issues
- CBIR techniques are becoming more advanced but keywords are still the most common search method
This document provides tips and resources for conducting effective searches to find information for academic projects. It discusses keywords, search tips, and databases. It encourages the reader to explore beyond just Google by using library resources and guides. It also provides guidance on evaluating sources based on currency, authority, and verifiability. Contact information is provided for getting additional research help.
The document provides an overview of on-page and off-page SEO best practices for eCommerce websites. It discusses topics like optimizing title tags, meta descriptions, internal linking, content creation, technical SEO, and various off-page link building strategies like product reviews, scholarship links, and content marketing. Specific tactics are explained in detail with examples provided. The goal is to help readers master eCommerce SEO in 60 minutes by understanding what to focus on for their website.
Machine Learning is hard, asking another person's opinion is easy. In this presentation we talk about how Polyvore ( www.polyvore.com) uses Amazon's Mechanical Turk to answer questions too hard for the fastest machines and the best classifiers. We also reveal the secret sauce that helped boost our Mturk answer accuracies from 60% to over 90%.
This document provides an overview of cool tools for schools, including ICT tools that can be used to support curriculum standards. It discusses putting ICT in context with the Victorian Essential Learning Standards (VELS) and using ICT for interdisciplinary learning, visualizing thinking, creating, and communicating. Specific Google tools are highlighted for searching efficiently. Various Web 2.0 tools are presented for teachers, including sites for bookmarking, images, video, collaboration, concept mapping, timelines, literacy, and other uses like physics problem solving. Cyber safety tips are also included.
Document Retrieving is characterized as the coordinating of some expressed client questions against a lot of free-text records. These records could be any sort of fundamentally unstructured content, for example, paper articles, land records, or passages in a manual.
Amazing hiring tech sourcing course 4 twitter and facebook the lokenbergsGordon Lokenberg
This is the training where we disect Facebook and Twitter, showing how to work with lists and groups. Also an introduction in how the new Search works on Facebook, and some tools to use while being on these sites... :)
The document is a collection of photos from Flickr shared under various Creative Commons licenses. It includes over 50 photos covering a wide range of subjects including nature, cities, people, and more. The photos come from many different photographers and were likely compiled for a presentation or article utilizing stock images from Flickr.
The document discusses various tools and platforms that can help automate and organize an entrepreneur's life and business. It profiles entrepreneurs like Daymond John, Mark Cuban, and Kevin O'Leary and quotes advice they have given. It also provides numerous links to productivity, project management, scheduling, and collaboration tools that can help entrepreneurs work smarter.
This document provides tips and resources for conducting effective searches to find information for academic projects. It discusses being curious and using keywords, search tips, and various databases and sources. Some tips included are using broadening search terms like "comput*" and exact phrase searches. It also discusses evaluating information based on currency like age and updates, and authority like author qualifications. More resources are provided on the university library website for exploring topics and getting additional research help.
The document discusses keyword research and provides tips for going beyond single keyword phrases. It suggests looking at word patterns, word co-occurrences, niches, and various tools to expand keyword research. Examples are given of analyzing politician speeches based on distinctive word patterns and using keyword co-occurrence data to gain insights. A number of free online tools are also listed for brainstorming, analyzing keyword popularity and competitiveness, and taking a more expansive approach to keyword research.
Advertising with Linked Data in Web ContentMartin Hepp
Advertising with Linked Data in Web Content: From Semantic SEO to E-Commerce on the Web 3.0
Slides and audio from my talk given at the Knowledge Engineering Group of the University of Economics Prague.
http://keg.vse.cz/seminar.php?datetime=2011-04-06
This is the presentation that went along with the seminar that I gave on SEO. It showed you how to research your keywords, make your web site search engine friendly, optimize content for your target keywords, and other techniques to get your site noticed by Google and other search engines. It was presented on June 22, 2012 at the Iceberg in Fayetteville, AR.
This document provides 87 tips for using Google more effectively by leveraging advanced search features and operators. Some key tips include using Boolean operators like AND, OR, and NOT to refine searches, using modifiers like intitle, inurl, and site: to search specific fields or sites, and taking advantage of Google's built-in tools for calculations, conversions, definitions and more. The document encourages users to create a Google account to access additional personalized features and customization options.
This document provides tips and resources for finding information for academic projects. It discusses being curious and using effective search strategies like keywords, phrases, operators, and limiting searches. It also highlights the importance of evaluating sources based on currency, authority, and reliability. Resources recommended include library guides and databases for subjects like computing and engineering. Students are encouraged to explore beyond Google and utilize specialized academic databases and platforms like LinkedIn Learning available through the university library.
This document provides tips and resources for finding information for projects. It discusses being curious and using effective keywords and search tips to broaden searches. It encourages exploring various resources beyond Google, like evaluating currency and authority of sources. Specific resources mentioned include the library subject guides and LinkedIn Learning for additional tutorials. Contact information is provided for getting further help from the subject librarian.
This chapter discusses using Google search techniques to find security vulnerabilities on websites. It covers both basic operators like +, -, and " to refine searches, as well as advanced operators like allintext:, filetype:, and intitle: to search specific fields. The goal is to quickly find sensitive information like login credentials, passwords, or internal documents through structured searches. A variety of example searches are provided to demonstrate how different operators can reveal website details and potentially sensitive data.
This document provides tips and resources for conducting effective searches to find information for academic projects. It discusses being curious and using keywords, search tips, and databases. It encourages exploring beyond just Google by evaluating sources based on currency, authority, and related sites. Students are pointed to guides on searching techniques and computing resources on the university library website to aid their research.
Google is a search engine that indexes webpages and content on the internet. It allows users to search for keywords and returns relevant results from its index in less than a second. The document discusses various search engine concepts like how they work, different search features available on Google like boolean operators, phrase searching and file type limiting. It also introduces some other Google products and databases like Images, News, Books, Scholar etc. and how they can be used to find images, videos, books and scholarly articles on the topics searched.
This document provides tips and resources for conducting effective searches to find information for academic projects. It discusses being curious and using keywords, search tips, and databases. It encourages exploring beyond just Google by demonstrating alternative resources and evaluating sources based on currency, authority, and whether the information is verifiable. Contact information is provided for getting further library assistance.
Searching the internet - better with Google / Google not always bestEric Sieverts
Here are some key points about searching images:
- You can search by keywords on sites like Google Images, Yahoo Images, Bing Images, Flickr
- Flickr also allows filtering by Creative Commons licensed images
- Specialized sites include photograph archives and Wikimedia Commons
- Geographical search on sites like Panoramio and Instagram
- Content-based image retrieval allows searching by color, drawing an example, or uploading an existing image for sites like Google, Tineye, and Retrievr
- Tineye specifically finds almost exact copies which can help identify copyright issues
- CBIR techniques are becoming more advanced but keywords are still the most common search method
This document provides tips and resources for conducting effective searches to find information for academic projects. It discusses keywords, search tips, and databases. It encourages the reader to explore beyond just Google by using library resources and guides. It also provides guidance on evaluating sources based on currency, authority, and verifiability. Contact information is provided for getting additional research help.
The document provides an overview of on-page and off-page SEO best practices for eCommerce websites. It discusses topics like optimizing title tags, meta descriptions, internal linking, content creation, technical SEO, and various off-page link building strategies like product reviews, scholarship links, and content marketing. Specific tactics are explained in detail with examples provided. The goal is to help readers master eCommerce SEO in 60 minutes by understanding what to focus on for their website.
Machine Learning is hard, asking another person's opinion is easy. In this presentation we talk about how Polyvore ( www.polyvore.com) uses Amazon's Mechanical Turk to answer questions too hard for the fastest machines and the best classifiers. We also reveal the secret sauce that helped boost our Mturk answer accuracies from 60% to over 90%.
This document provides an overview of cool tools for schools, including ICT tools that can be used to support curriculum standards. It discusses putting ICT in context with the Victorian Essential Learning Standards (VELS) and using ICT for interdisciplinary learning, visualizing thinking, creating, and communicating. Specific Google tools are highlighted for searching efficiently. Various Web 2.0 tools are presented for teachers, including sites for bookmarking, images, video, collaboration, concept mapping, timelines, literacy, and other uses like physics problem solving. Cyber safety tips are also included.
Document Retrieving is characterized as the coordinating of some expressed client questions against a lot of free-text records. These records could be any sort of fundamentally unstructured content, for example, paper articles, land records, or passages in a manual.
Amazing hiring tech sourcing course 4 twitter and facebook the lokenbergsGordon Lokenberg
This is the training where we disect Facebook and Twitter, showing how to work with lists and groups. Also an introduction in how the new Search works on Facebook, and some tools to use while being on these sites... :)
The document is a collection of photos from Flickr shared under various Creative Commons licenses. It includes over 50 photos covering a wide range of subjects including nature, cities, people, and more. The photos come from many different photographers and were likely compiled for a presentation or article utilizing stock images from Flickr.
The document discusses various tools and platforms that can help automate and organize an entrepreneur's life and business. It profiles entrepreneurs like Daymond John, Mark Cuban, and Kevin O'Leary and quotes advice they have given. It also provides numerous links to productivity, project management, scheduling, and collaboration tools that can help entrepreneurs work smarter.
The document is a presentation created with Haiku Deck, presentation software. It consists of 81 slides that each contain the phrase "Oh Content, Content, Created with Haiku Deck, presentation software that's simple, beautiful and fun" along with a photo credit. Haiku Deck is described as software for making simple, beautiful, and fun presentations.
Driving traffic to your e bay listings in lieu of google updates Steve Kuntz
The document discusses methods for driving traffic to eBay listings as an alternative to relying on Google updates. It suggests optimizing listings, promoting listings on social media, using advertising platforms like Facebook to target customers, and exploring other online selling platforms to expand reach. The presentation contains mostly blank slides and photos without text, so it is difficult to determine many specific strategies from the document alone.
Can Burt Reynolds Help Us Learn What Our On-line Competitors are Up To?Steve Kuntz
The document discusses how to learn about online competitors by analyzing their websites and online presence. It provides tips on finding competitor reviews on sites like TrustPilot, TripAdvisor, and Yelp. It also discusses using tools like BuiltWith to analyze website technologies and keyword spying to identify keywords competitors are targeting. The goal is to identify opportunities, gaps, and potential competitive threats.
This document provides a list of online productivity tools and websites with brief descriptions. It includes tools for managing email productivity, reading and saving online content, task management, time tracking, collaboration, and automation. Websites mentioned include Sanebox, Pocket, Flipboard, Wunderlist, RescueTime, Buzzsumo, Mural.ly, IFTTT, and Rignite. The document encourages maximizing online productivity through tools that help reduce email overload, optimize content consumption, track time usage, facilitate collaboration and automate common tasks.
This document provides tools and strategies to speed up SEO efforts. It recommends using analytics to drive decisions and Excel or Google Docs for organization. Keyword research tools include AdWords Keyword Planner, SEMRush, UberSuggest, and Moz Keyword Difficulty Tool. Site audits should establish a baseline and check usability, structure, and competition. Link research is aided by tools like Majestic, Open Site Explorer, and Link Research Tools to find broken links, common links, and link prospects. Content should be optimized for readability, user experience tested, and campaigns managed in RavenTools.
This document provides summaries of 10 tools to increase productivity:
1) SaneBox helps manage email overload by filtering messages.
2) Pocket allows saving articles to read later across devices.
3) Wunderlist is a task manager and reminder app that syncs across platforms.
4) RescueTime tracks how time is spent on the computer to improve productivity.
5) Followerwonk provides Twitter analytics to optimize marketing strategy.
Company Valuation webinar series - Tuesday, 4 June 2024FelixPerez547899
This session provided an update as to the latest valuation data in the UK and then delved into a discussion on the upcoming election and the impacts on valuation. We finished, as always with a Q&A
B2B payments are rapidly changing. Find out the 5 key questions you need to be asking yourself to be sure you are mastering B2B payments today. Learn more at www.BlueSnap.com.
Zodiac Signs and Food Preferences_ What Your Sign Says About Your Tastemy Pandit
Know what your zodiac sign says about your taste in food! Explore how the 12 zodiac signs influence your culinary preferences with insights from MyPandit. Dive into astrology and flavors!
❼❷⓿❺❻❷❽❷❼❽ Dpboss Matka Result Satta Matka Guessing Satta Fix jodi Kalyan Final ank Satta Matka Dpbos Final ank Satta Matta Matka 143 Kalyan Matka Guessing Final Matka Final ank Today Matka 420 Satta Batta Satta 143 Kalyan Chart Main Bazar Chart vip Matka Guessing Dpboss 143 Guessing Kalyan night
How are Lilac French Bulldogs Beauty Charming the World and Capturing Hearts....Lacey Max
“After being the most listed dog breed in the United States for 31
years in a row, the Labrador Retriever has dropped to second place
in the American Kennel Club's annual survey of the country's most
popular canines. The French Bulldog is the new top dog in the
United States as of 2022. The stylish puppy has ascended the
rankings in rapid time despite having health concerns and limited
color choices.”
Anny Serafina Love - Letter of Recommendation by Kellen Harkins, MS.AnnySerafinaLove
This letter, written by Kellen Harkins, Course Director at Full Sail University, commends Anny Love's exemplary performance in the Video Sharing Platforms class. It highlights her dedication, willingness to challenge herself, and exceptional skills in production, editing, and marketing across various video platforms like YouTube, TikTok, and Instagram.
IMPACT Silver is a pure silver zinc producer with over $260 million in revenue since 2008 and a large 100% owned 210km Mexico land package - 2024 catalysts includes new 14% grade zinc Plomosas mine and 20,000m of fully funded exploration drilling.
Building Your Employer Brand with Social MediaLuanWise
Presented at The Global HR Summit, 6th June 2024
In this keynote, Luan Wise will provide invaluable insights to elevate your employer brand on social media platforms including LinkedIn, Facebook, Instagram, X (formerly Twitter) and TikTok. You'll learn how compelling content can authentically showcase your company culture, values, and employee experiences to support your talent acquisition and retention objectives. Additionally, you'll understand the power of employee advocacy to amplify reach and engagement – helping to position your organization as an employer of choice in today's competitive talent landscape.
At Techbox Square, in Singapore, we're not just creative web designers and developers, we're the driving force behind your brand identity. Contact us today.
Storytelling is an incredibly valuable tool to share data and information. To get the most impact from stories there are a number of key ingredients. These are based on science and human nature. Using these elements in a story you can deliver information impactfully, ensure action and drive change.
Easily Verify Compliance and Security with Binance KYCAny kyc Account
Use our simple KYC verification guide to make sure your Binance account is safe and compliant. Discover the fundamentals, appreciate the significance of KYC, and trade on one of the biggest cryptocurrency exchanges with confidence.
Structural Design Process: Step-by-Step Guide for BuildingsChandresh Chudasama
The structural design process is explained: Follow our step-by-step guide to understand building design intricacies and ensure structural integrity. Learn how to build wonderful buildings with the help of our detailed information. Learn how to create structures with durability and reliability and also gain insights on ways of managing structures.
Income Tax exemption for Start up : Section 80 IAC
Ebay search
1. Using Google Advanced
Search Commands for
Product Sourcing &
Finding Customers
Steve Kuntz
E-mail: skuntz1@mindspring.com
Twitter @pokersteve786
Presentation is located at
http://www.slideshare.net/pokersteve786/ebay-search
Spreadsheet companion document at
http://files.meetup.com/194036/ebay_power_keywords_v2.xls
1
2. What We Will Cover
1. Discovering your ebay niche keywords
2. Basic Search Match Types/Google
Advanced Search Operators
3. Search Examples for Finding Vendors
4. Reverse Engineering ebay Listing
Photos
5. Finding Like Minded Potential Customers
2
7. Brain Storming ebay Niche
Keywords
Take a few minutes to
brain storm your niche
7
8. Example: I Sell China Items
Some Keywords may be
– China Dinnerware
– Antique China Dishes
– China Glassware
– Decorative Plates
– Vintage China Dishes
– Hand painted China plates
8
28. So What are Advanced Search
Operators?
Additional search parameters that give the
web searcher the ability to narrow their
searches by a series of different filters.
Lets you hyper focus on search terms!
28
29. A Few Google Advanced Search
Operators
~Keyword
– Find Keyword and Synonyms of Keyword
Example ~vintage
Filetype:
– Find documents only containing filetype listed
– Example "vintage clothes" filetype:xls
– "vintage clothes" -filetype:pdf
– Some of the types are pdf,html,txt,xls,ppt,doc
Boolean connectors like AND, OR are case
sensitive. They must be upper case.
– Example vintage (clothes OR ornaments)
29
30. Wildcard search
– Example Christopher Columbus discovered *
Ranges
– Example Sony TV $300..$500
Find web pages that where indexed after/before
certain date
– Example "vintage clothes" after:2013-03-01
– Example "vintage clothes" before:2013-03-01
30
31. Exclude specific keywords with minus operator
– Example “vintage clothes” –ebay
Pages with vintage clothes but not from ebay
Site: query
– search for information within a single website like all
mentions of "Olympics" on the New York Times
website.
Example Olympics site:nytimes.com
Also search within a specific top-level domain like .org or
.edu or .gov or country top-level domain
Example Olympics site:.gov
Example Olympics site:.ca
31
32. Inurl:keyword
– Find keyword in URL of website indexed
– Example inurl:vintage
– Find pages with vintage in URL and clothes
somewhere in URL, Title, Text, etc
– Example inurl:vintage clothes
32
33. allinurl:keywords
– Find all keywords in URL of website indexed
– Example allinurl:vintage clothes
33
34. Intitle:keyword
– Find keyword in Title Tag of website indexed
– Example intitle:vintage
– Find pages with vintage in Title Tag and
clothes somewhere in URL, Title, Text, etc
– Example intitle:vintage clothes
34
35. allintitle:keywords
– Find keywords in Title Tag of website indexed
– Example allintitle:vintage clothes
35
36. Intext:keyword
– Find keyword in text of website indexed
– Example intext:vintage
– Find pages with vintage in Text and clothes
somewhere in URL, Title, Text, etc
– Example intext:vintage clothes
36
37. allintext:keywords
– Find keywords in text of website indexed
– Example allintext:vintage clothes
37
59. realtime powered by bitly
Website rt.ly
Realtime (URL is rt.ly)
pulls in all posts from
“across the bitlyverse”
which allows users to
see what is being
clicked on now.
59
60. topsy.com
Topsy is a realtime
search engine
powered by the
Social Web. Topsy
indexes and ranks
search results
based upon the
most influential
conversations
people are having.
60