The document lists various social search engines that allow users to search for information about people or customize search results. Some key features mentioned include searching social networks and public records, allowing user votes and edits to determine results, and personalizing searches based on individual interests. Many of the search engines pull data from sources like social media profiles, white and yellow pages, and public records to return information on individuals.
Building Search Engine in the Social Media Eraweb2express.org
Rising of social networks like Twitter and Facebook has been flooding the web with user-generated contents in the amount that was never seen before. As we become more depending on the social media for daily information gathering and social interaction, we have started to demand more from search engines, such as real time conversations and social connections. Such new environment is forcing search engine technology to evolve.
This presentation will first review the traditional search engine technologies and architecture. Then, we will talk about some of the new architectures for supporting real time search and social search. The last part of the presentation is devoted to discussion of the emerging real time web monitoring system, the cousin of search engine. Social media monitoring is predicted to become a mainstream tool for consumers and businesses because the inherent collective intelligece has the potential to further increase the efficiency of finding information and making decision as what search engine has done.
Search Engines Demystified. The presentation covers about types of engines, search engine internal, comparative study, indexing, searching, information retrieval, inverted index, clustering, meta search engines, semantic search, search engine optimization, search evaluation, how to do search, search architecture and more.
Building Search Engine in the Social Media Eraweb2express.org
Rising of social networks like Twitter and Facebook has been flooding the web with user-generated contents in the amount that was never seen before. As we become more depending on the social media for daily information gathering and social interaction, we have started to demand more from search engines, such as real time conversations and social connections. Such new environment is forcing search engine technology to evolve.
This presentation will first review the traditional search engine technologies and architecture. Then, we will talk about some of the new architectures for supporting real time search and social search. The last part of the presentation is devoted to discussion of the emerging real time web monitoring system, the cousin of search engine. Social media monitoring is predicted to become a mainstream tool for consumers and businesses because the inherent collective intelligece has the potential to further increase the efficiency of finding information and making decision as what search engine has done.
Search Engines Demystified. The presentation covers about types of engines, search engine internal, comparative study, indexing, searching, information retrieval, inverted index, clustering, meta search engines, semantic search, search engine optimization, search evaluation, how to do search, search architecture and more.
A Chinese web services. It is one of the largest Internet companies in the world, offers many services, including a Chinese search engine for websites, audio files and images. Fifty seven type of search and community services including Baidu, Baike an online, collaboratively built encyclopedia and a searchable keyword-based discussion forum. Later in years, company became the first Chinese company to be included in the NASDAQ-100 index.
Semantic Search Engine That Reads Your MindAmit Sheth
Dare to compare with today's Semantic Search.... Interview published in 2000 about the Semantic Search engine built by Taalee which I founded in 1999. For more details, check out "15 years of Semantic Search and Ontology-enabled Semantic Applications": http://j.mp/15yrsSS
The Streaming Search Engine That Reads Your MindAmit Sheth
Taalee's Semantic Search Engine was commercial faceted/semantic search for Web content. It used highly semi-automated way to created domain specific ontologies by aggregating knowledge from multiple semi structured and semistructured sources (much like today's creation of DBPedia and Google Knowledge Graph), using its large knowledge-base with machine learning for automatic semantic annotation (metadata extraction) and storing that semantic data in a RDF like store, and then supporting search, browsing, personalization, targeted advertisements, and other applications. This interview gives a lucid description. This patent describes the technology in detail: http://j.mp/SW-patent This 2000 keynote provides first snapshots of the product/service: http://slidesha.re/sw-ib
The emergence of social media means a new and different way for people to contribute digital content. Likewise, it means we need new ways to search for and find this new content. The big search engines don't necessarily focus on finding this content. This session will provide an overview of some search engines that help you find information in the social media. At the end of this session, you should be able to:
Understand why we want to search and participate in the social media
Understand what types of search engines are available on the public Internet that allow you to search social content.
About Bill Chamberlin
Bill is a 30 year veteran of IBM spanning a career in both Sales and Marketing. He has spent the last 16 years in IBM's Market Insights organization supporting IBM Marketing and Strategy professionals. He currently works as a Principal Consultant Analyst on a small team focused on helping IBMers develop social media marketing strategies. Bill is also a community leader, having built and managed the 1900 member HorizonWatch community within IBM since 2001. He is very active in the social media blogging and tweeting under the HorizonWatching brand name. Bill received his MBA in 1995 from the Kellogg Graduate School of Management and has lived in the Chicagoland area his entire life.
Let's have a look at some tools that will help you experience content marketing success, and nurture buyer's all the way along this journey: BuzzSumo for research. CoSchedule for organization. Convert Pro for increasing email subscribers. MailChimp for email marketing.
Tagging: Can User-Generated Content Improve Our Services?Katja Šnuderl
A couple of years ago there was a lot of discussion about how to improve search engines on the statistical websites. We are still struggling to make them better. On the other hand, in the last few years user-generated content on the internet, with impressive growth of Web 2.0 tools and services, introduced not only user-generated content, but also user-defined classification of items. The so called "folksonomy" introduced a new, complementary way of classifying items, significantly different from the pre-defined, authoritative taxonomies. Folksonomy is a result of tagging. In applications like YouTube (video clip database), Flickr (picture database), SlideShare (presentation database), blogs and others, users attach one or more words (tags) to every object in the database. Tags support search and aggregation lists.
It takes just one step to move from entering search keywords ourselves, using all of our knowledge, experiences and intuition in order to tailor the search results to user needs, to allowing our own users to enter tags themselves. This step creates a paradigm shift, exactly the same one as has turned Web 2.0 applications into a big success: Users – not producers – control the way they find and use information. By allowing users to enter tags we can actually allow users to help themselves by helping us.
A Chinese web services. It is one of the largest Internet companies in the world, offers many services, including a Chinese search engine for websites, audio files and images. Fifty seven type of search and community services including Baidu, Baike an online, collaboratively built encyclopedia and a searchable keyword-based discussion forum. Later in years, company became the first Chinese company to be included in the NASDAQ-100 index.
Semantic Search Engine That Reads Your MindAmit Sheth
Dare to compare with today's Semantic Search.... Interview published in 2000 about the Semantic Search engine built by Taalee which I founded in 1999. For more details, check out "15 years of Semantic Search and Ontology-enabled Semantic Applications": http://j.mp/15yrsSS
The Streaming Search Engine That Reads Your MindAmit Sheth
Taalee's Semantic Search Engine was commercial faceted/semantic search for Web content. It used highly semi-automated way to created domain specific ontologies by aggregating knowledge from multiple semi structured and semistructured sources (much like today's creation of DBPedia and Google Knowledge Graph), using its large knowledge-base with machine learning for automatic semantic annotation (metadata extraction) and storing that semantic data in a RDF like store, and then supporting search, browsing, personalization, targeted advertisements, and other applications. This interview gives a lucid description. This patent describes the technology in detail: http://j.mp/SW-patent This 2000 keynote provides first snapshots of the product/service: http://slidesha.re/sw-ib
The emergence of social media means a new and different way for people to contribute digital content. Likewise, it means we need new ways to search for and find this new content. The big search engines don't necessarily focus on finding this content. This session will provide an overview of some search engines that help you find information in the social media. At the end of this session, you should be able to:
Understand why we want to search and participate in the social media
Understand what types of search engines are available on the public Internet that allow you to search social content.
About Bill Chamberlin
Bill is a 30 year veteran of IBM spanning a career in both Sales and Marketing. He has spent the last 16 years in IBM's Market Insights organization supporting IBM Marketing and Strategy professionals. He currently works as a Principal Consultant Analyst on a small team focused on helping IBMers develop social media marketing strategies. Bill is also a community leader, having built and managed the 1900 member HorizonWatch community within IBM since 2001. He is very active in the social media blogging and tweeting under the HorizonWatching brand name. Bill received his MBA in 1995 from the Kellogg Graduate School of Management and has lived in the Chicagoland area his entire life.
Let's have a look at some tools that will help you experience content marketing success, and nurture buyer's all the way along this journey: BuzzSumo for research. CoSchedule for organization. Convert Pro for increasing email subscribers. MailChimp for email marketing.
Tagging: Can User-Generated Content Improve Our Services?Katja Šnuderl
A couple of years ago there was a lot of discussion about how to improve search engines on the statistical websites. We are still struggling to make them better. On the other hand, in the last few years user-generated content on the internet, with impressive growth of Web 2.0 tools and services, introduced not only user-generated content, but also user-defined classification of items. The so called "folksonomy" introduced a new, complementary way of classifying items, significantly different from the pre-defined, authoritative taxonomies. Folksonomy is a result of tagging. In applications like YouTube (video clip database), Flickr (picture database), SlideShare (presentation database), blogs and others, users attach one or more words (tags) to every object in the database. Tags support search and aggregation lists.
It takes just one step to move from entering search keywords ourselves, using all of our knowledge, experiences and intuition in order to tailor the search results to user needs, to allowing our own users to enter tags themselves. This step creates a paradigm shift, exactly the same one as has turned Web 2.0 applications into a big success: Users – not producers – control the way they find and use information. By allowing users to enter tags we can actually allow users to help themselves by helping us.
1. Lista di Social Search Engine
(lista riveduta da “Delizad – Realizzazione Siti Web”)
anoox.com – Search engine where people people’s votes help determine the results.
ChaCha – Search engine providing search results from multiple search engines selected by users.
Chacha provides live assistance to help guide users search.
eurekster.com – Allow users to add a swicki (a search engine) to their website or blog. Swicki
enables users to find content within a website and provides links to similar content.
Gravee – A combination of social bookmarking, tagging and voting. It personalizes search
preferences based on your individual interests.
iRazoo – Allows registered users to provide ratings for each search results and earn points.
Jookster.com – Scours social sites to generate results for web sites, people, videos, and pictures.
Mahalo – Building on the idea of Wikipedia, Mahalo provides search results edited and submitted
users and paid guides.
mysidekick – A human powered search engine that allows people to find and submit web pages that
are then automatically tagged with terms used during the search session.
Pipl – People search engine the looks at social networking profiles, public records, and the Web to
find details about individuals.
PreFound.com – A search engine which finds information provided by its user groups.
rel8r.com – Pulls tag data from usergenerated content web sites to organize search results.
Wikia – Based on the concept of Wikipedia, allows users to edit the search results.
Sproose – A search engine that organizes results based on the number of votes a link has received
for a specific search term.
Tezaa – An engine where users ask for opinions and get answers.
Tinfinger.com – Allows you to search for people in social networking profiles, news headlines, and
pictures.
xing.com – Search engine focused on finding information about professionals.
yoName.com – Searches multiple social networking profiles and blogs.
Yoople.net – Allows you to drag and drop search results in your preferred order, which in turn
updates the listings for users.
Zudos.com – Search for opinions about specific topics.
2. Zitgist.com – Allows users to search through entering multiple terms that act as filters, versus one
long string of keywords.
ex.plode.us – Search for individuals on multiple social networks.
InfoSpace – Search engine for comprehensive information for people living in the US.
The Internet Address Book – Search for names of people and find results from social networks,
registered Internet Address Book users, and various search engines.
lostpeople.com – Locate your long lost buddies, classmates and family members.
naymz.com – A search engine where people can find information by searching for user names.
namesdatabase.com – A popular search engine for finding lost friends or former classmates.
people.yahoo.com – Yahoo’s people search engine, pulls data from white/yellow pages.
PeopleFinders.com – A search engine that allows you to search for people in public records and
business records, among other things.
PeekYou.com – A search engine for locating individuals that also allows users to contribute
information to results.
Socialgrapes.com – Allows you to search for people on multiple social networks by entering criteria
such as age, location, and interests.
Spock – A people search engine that scours social networking profiles and also allows users to add
information to the results.
Switchboard.com – A white pages type site for locating people’s contact information.
usapeoplesearch.com – Comprehensive listing of US residents. Results include address details,
telephone number, criminal records etc.
wink.com – People search engine that scours social networking sites to provide information about
individuals.
Ziggs.com – A social networking and search community targeted at professionals.
Ziki.com – Searches the Web to provide the most relevant links for individuals.
ZabaSearch – Searches the Web and public records for information about people.
Zoominfo.com – A search engine for professional information about people.
192.com – A powerful human search engine for UK users with record of over 600 million users and
businesses.