The classic Internet search model, in which users type in a query and receive a page of results arranged according to someone else's idea of relevance, is disappearing in favor of a more efficient paradigm in which results are based on who is the one who performs the search, who their friends are, where they live and other user-centric data. That, at least, is what the experts who spoke at the Web 2.0 and Interop conferences held at the Javits Center in New York thought.
Representatives from Facebook, Yahoo, and the real-time search aggregators OneRiot and Collecta, noted that the change is occurring because the classic page ranking model fails to deal with the enormous power of social and other networks. Web 2.0 tools, not always returning what the user is actually looking for.
For example, after the death of Michael Jackson at the beginning of the year, millions of inquiries were made about the pop legend, but most of the fans who initiated the searches did not want more news about his death, but videos and other multimedia files about him. singer to help them remember it. “The most socially relevant result was the Thriller video,” said OneRiot CEO Tobias Peggs. OneRiot pulls information from the Web, blogs, Twitter and other sources to provide contextualized search results. Users have the option of pressing a button to see “real-time” updates, mostly from social networking sites.
Facebook's chief engineering officer, Akhil Wable, agreed that sites like the one maintained by his company have an important role to play in improving Internet searches.
The problem older traditional search sites have when it comes to integrating Twitter threads and the like is that they still have to cater to a wider audience for which the information on social media may not be relevant.
"Twitter topics tend to be a bit geeky," said Yahoo search architect Vik Singh. According to Singh, Yahoo studies have found that less than 2% of Tweets are related to hot topics on the main search sites like Google and Yahoo! Despite this, he agrees that the big search engines cannot ignore the social web when it comes to improving their results.
Collecta CEO Gerry Campbell noted that the best search results are based on numerous sources. The Collecta search engine extracts data from blogs, microblogs, social networks, and even photo-sharing services.
Source: Information Week