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The Future of Search Mobile, Augmented Reality, Social, Voice And Internet Of Things
1. THE FUTURE OF SEARCH: MOBILE, AUGMENTED
REALITY, SOCIAL, VOICE & INTERNET OF THINGS
Mandar Marathe, Co-Founder, BriefKase Digital Communications
February 26, 2016
6. Professional Experience
Software Engineer(Pune, India)
June 2004 – June 2006
Technology Manager (Boston, USA)
January 2008 – April 2010
Sr. Director, Client Servicing &
Office Head (Mumbai, India)
October 2010 – November 2013
Co-founder
December 2013 – Till date
7. Academic Background
Master of Business Administration,
December 2007.
Bachelor of Engineering in Computer Science,
June 2004.
77. Optimize content for Voice Search
Find out what questions your target audience is
asking and create content that answers them.
78. • Consider adding a
Q&A service to
your site that
allows users to ask
questions to which
you later post
answers.
Editor's Notes
Not the one who knows Fine Art
I am the 3rd result on google.co.in.
Search Engines used to be edited by humans.
In April 1994 David Filo and Jerry Yang created the Yahoo! Directory as a collection of their favorite web pages. As their number of links grew they had to reorganize and become a searchable directory.
In 1994
It was the first crawler which indexed entire pages. Soon it became so popular that during daytime hours it could not be used.
AOL eventually purchased WebCrawler and ran it on their network. Then in 1997, Excite bought out WebCrawler, and AOL began using Excite
Lycos was the next major search development, having been design at Carnegie Mellon University around July of 1994. Michale Mauldin was responsible for this search engine and remains to be the chief scientist at Lycos Inc.
Infoseek also started out in 1994, claiming to have been founded in January. They really did not bring a whole lot of innovation to the table, but they offered a few add on's, and in December 1995 they convinced Netscape to use them as their default search, which gave them major exposure.
AltaVista debut online came during this same month. AltaVista brought many important features to the web scene. They had nearly unlimited bandwidth (for that time), they were the first to allow natural language queries, advanced searching techniques and they allowed users to add or delete their own URL within 24 hours. They even allowed inbound link checking. AltaVista also provided numerous search tips and advanced search features.
PageRank Algorithm
handling more than three billion searches each day.
Written in Python, C, C++
Available in 123 Languages
2000: First pioneered by a company called GoTo.com, but scaled to mass adoption by Google.
They purchased a company called applied semantics, which was the cornerstone for AdSense product
Ingenious way to distribute
2005: 15% of Google revenue
2007: 34%
Google bought double click for 3.2 Bn $ in 2007
US Market share
Q1 2015 Other countries
5 Billion
Apple started the mobile revolution with its iPhone 1st generation (1990’s)
Android: Free for all mobile OS
2012 – Hugh Bara, VP of Android Product Development
2015 Matt Cutts
Its not about selling cars. When you have a driverless car, you have a lot of spare time. Using one of their latest acquisitions “Waze”,
Google can warn you of potential hazards or inform you about the cheapest , nearest gas stations
Google Glass : which will allow you to search and analyze content that you see
assistant coach German “El Mono” Burgos of Atletico Madrid became the first person to use Glass during a sporting event - See more at: http://glassalmanac.com/spanish-soccer-coach-uses-google-glass-match-team-wins/3391/#sthash.MVKlZ10y.dpuf
Caffeine update: 1/3rd of all searches require fresh results
June 2010: new web indexing system called Caffeine. Caffeine provides 50 percent fresher results for web searches than our last index, and it's the largest collection of web content we've offered. Whether it's a news story, a blog or a forum post, you can now find links to relevant content much sooner after it is published than was possible ever before.
https://googleblog.blogspot.in/2010/06/our-new-search-index-caffeine.html
Answering questions has been a huge challenge for Search engines. To be able to answer questions, one has to understand and process natural language.
And its about identifying entities
Google wants to answer the most common questions regarding entities right away using their knowledge graph.
Even Bing has revamped its knowledge graph
Amit Singhal shared his dream at Google IO
Facebook’s Open Graph
Lets take a look at the future
Google Venice update: Enhanced localization of user performing a search
Card based information that you need throughout the day before you even answer.
Upcoming trips or destinations
Looking at geo-location reports as well as the newer demographics and interests reports can help you identify high-level consumer types with age and gender analysis or interest-based reports. These can provide invaluable insights into your consumer targets, which in turn is essential to develop highly targeted content specific to your audience before they even knew they were going to need or want it.
In April 2015, Google announced its mobile friendly ranking algorithm (#Mobilegeddon). Essentially, Google made two announcements and took the algorithm live on 21st April
Mobile-friendly websites would be seen higher in search results
Relevant content within Apps would be shown in search results.
Relevancy of Search Results: By pulling results from within an app, Google is widening the indexing net. This means that more contextually relevant search results are likely to be available for users
Higher Engagement & Content / App discovery
Google has expanded app indexing to include results from apps that are not installed on your phone. Which means that users will engage with apps more than earlier, the engagement being triggered by mobile searches.
Google’s Hummingbird update is designed to interpret naturally phrased search queries such as “Where can I get my car serviced?”
more than 100 million people already have the Google Voice Search app installed on their mobile phones.
Mobile queries have a strong local search intent (40-60%)