Jim Edwards of Business Insider recently speculated on Apple’s acquisition of Topsy Labs earlier this week. Edwards writes, “Why would the maker of iPads and iPhones need a small company that culls data from Twitter? The likely answer is that Apple needs help with something that is as old as the Internet itself: search. For most people, ‘search’ stopped being sexy more than 10 years ago, when Google proved that its search engine was pretty much the only one you needed. But Apple just dropped $US200 million on Topsy, likely in hopes of using Topsy’s data to improve recommendations when people search for apps and stuff in iTunes and the App Store.” Read more
Posts Tagged ‘Graph Search’
A new survey is just out reporting on how people are using Facebook. Just over 300 users were randomly selected by Stone Temple Consulting to gain some insight into Facebook feature awareness.
While not a definitive study (nor is it touted as one), one finding of interest to Semantic Web Blog readers is this: Below one-third of users have even heard of Graph Search, its functional semantic search engine for discovering relationships between entities in users’ networks of friends. It’s recently expanded from enabling queries around people, places, photos and interests culled from people’s profiles or pages (books your friends liked, for instance, or photos they took in San Francisco) to include searches of status updates, photo captions, check-ins and comments. Of those who do know what Graph Search is, just over one-third said that they had used it.
Charles Silver of Wired recently wrote, “A new battle among the tech titans has begun. What are Google, Facebook, Microsoft, Oracle, IBM and a handful of others fighting over, using vast amounts of money, hardware and top talent as weapons? This battle is over. Who will solve the scalability and performance issues of semantic computing, the data model for Web 3.0 — its arrival has been predicted annually for years but, finally, it’s on the verge. Put another way, which titan will pull off this victory feat: transforming the all-knowing ‘Star Trek’ computer—which could find the answer to any question in the universe at warp speed — from television fantasy to everyday reality.” Read more
Sam Vasisht of Veveo recently wrote an article for Wired in which he states, “Leading mobile, web and social companies such as Google, Apple and Facebook are driving towards paradigm shifts in redefining user experience. Such experiences include intelligent voice driven interfaces and predictive personalized discovery of content as represented in services such as Google NOW, Facebook Graph Search and Apple Siri, for example. As users experience such shifts in usability in web and mobile applications, the question that television programmers should be asking themselves is whether television is keeping up with the new expectations that users are likely to have as a result?” Read more
Megan Marrs of WordStream reports, “Facebook Graph Search first launched in March 2013, allowing users to search for people, photos, places, and interests within the Facebook search engine. Facebook Graph Search provides custom search results based on your own personal data, including information in the profiles of your friends. As you type a search query, Facebook Graph Search auto-completes the query, suggesting friendships through existing connections, Facebook pages, and apps, before finally providing web results. In recent months, Facebook developers have made Graph Search even more powerful, now capable of providing results on searches for: status updates, photo captions, comments, check-ins. The updated Facebook Graph Search can also search for posts from a specific place or time period.” Read more
Next week Hadoop World takes place in New York City. The big event follows on the heels of the official gold release last week of Apache Hadoop 2.0, which significantly overhauls the MapReduce programming model for processing large data sets with a parallel, distributed algorithm on a cluster.
Sitting on top of the Hadoop Distributed File System (HDFS), YARN (Yet-Another-Resource-Negotiator) is meant to perform as a large-scale, distributed operating system for big data applications. Multiple apps can now run at the same time in Hadoop, with the global ResourceManager and NodeManager providing a generic system for managing the applications in a distributed way.
Among the YARN-ready applications is Apache Giraph, an iterative graph processing system built for high scalability – and the programming framework that helps Facebook with its Graph Search service of connections across friends, subscriptions, and so on, providing the means for it to express a wide range of graph algorithms in a simple way and scale them to massive datasets. Facebook explained in a post in August that it had modified and used Giraph to analyze a trillion edges, or connections between different entities, in under four minutes.
On September 30th, Facebook reported, “Starting today, Graph Search will include posts and status updates. Now you will be able to search for status updates, photo captions, check-ins and comments to find things shared with you. Search for the topics you’re interested in and see what your friends are saying, like ‘Dancing with the Stars’ or ‘Posts about Dancing with the Stars by my friends.’ … As with other things in Graph Search, you can only see content that has been shared with you, including posts shared publicly by people you are not friends with. Use privacy shortcuts and Activity Log to review who can see the things you share.” Read more
Tekla S. Perry of IEEE Spectrum recently wrote, “Earlier this month, Facebook gave hundreds of millions of its users a new tool—that adds the ability to search the links between the people they know and the places they go, the businesses they’re interested in, and other information stored in Facebook’s massive structured database. Users can now easily get answers to questions like ‘What restaurants do my friends like in New York?’ and ‘Who do I know who works at Google?’ Graph Search—a name only a network engineer could love—is a search engine that crawls through people’s Internet connections—their so-called social graphs. The new tool may not immediately change the way people use the Internet, but it could be a big deal in the long run—big enough, perhaps, to challenge Google’s search hegemony.” Read more
Colin Jeavons of Media Post reports, “Social networks hold a bounty of consumer information, and features like Facebook’s Graph and hashtags, when combined with semantic search technology, will make it possible to unearth new connections and micro-target ad campaigns. There’s over 2.5 billion content items — over 500 terabytes of data — added to Facebook’s databases each day, including over 2.7 billion ‘likes.’ The introductions of Graph Search and hashtags to Facebook have generated waves of excitement among advertisers and marketers to tap into that data. Facebook’s marketing potential has increased dramatically.” Read more
Joanna Stern of ABC News reports, “Get ready for your Facebook search bar to start looking a little different. Starting Monday, Facebook will begin rolling out the advanced search feature it announced earlier this year to all users in the United States. Called Graph Search, the tool allows users to conduct more advanced searches — like ‘Restaurants in New York City my friends like’ or ‘photos of my friends before 1996′ — and get detailed results. It will be a few weeks before everyone who uses Facebook with the ‘US English’ setting will have the new feature, but several hundreds of millions of people will get it this week, the company told ABC News. And after more than six months of user testing and feedback, Facebook said it believes the product is ready for the masses.” Read more
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