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Moving Beyond Google

How search is evolving

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There are two key concepts of search according to Javed Panjwani, Business Development Executive, Wolfram Alpha.

(Coverage of SES Chicago continues at WebProNews Videos.  Keep an eye on WebProNews for more notes and videos from the event this week.)

There is the web of documents, which includes Google, and there is the web of data or semantic web, which includes Wolfram Alpha.

Current problems with search:
Accuracy
Relevancy
Insight
Convergence

Javed-Panjwani Search engines create value through computation by curating data from credible sources and computing answers in real-time. "Computation personalizes information," said Panjwani.

How people search, what they search, and what they do with search is all evolving. There are evolving ways to search including via twitter, Facebook and Wolfram Alpha.

"Wolfram Alpha creates value through computing knowledge and underlying data," said Panjwani.

Bill Scott, Chief Operating & Commercial Officer, easelTV, said the three most important elements related to the future of search are data, permission and trust. These elements will deliver a relevant experience for users.

Data that is needed includes:
Context
Behavior
Location
Community
Social network
Social trends
Preferences
Multi-channel identity
Metadata

"We must deliver demonstrable value to the consumer in order to win their trust," said Scott.

Anne Kennedy, SES Advisory Board, Founding partner and CMO, Joblr.com, said the future of search is visual.

With visual search people get information 28 percent faster than from reading text. Ten billion YouTube videos were watched in August 2009, compared to 9 billion searches being conducted.

The future of search is moving towards visual search and mobile. Users want visual search.
 

WebProNews Reporter/Anchor Abby Johnson Contributed To This Report.

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  • sofakingdabest

    The only relevance search has today relates to a buying consumer. It does a good job with that. However, “information” search is saddled with gobs of paid advertising results that are geared toward a buying consumer. And it’s annoying. An analogy: imagine going to the library for information and having dodge cardboard cut outs of advertising.

  • http://www.bing.com Stefan Weitz

    Totally agree with Javed Panjwani on this one. I’d add something else that echoes Bill Scott’s comments: in order for engines to compute the knowledge necessary to render to a user, they need to better understand the intent of the user. The example I always use is “traffic”. What should an engine display? The local traffic map? The IMDB entry for the movie? The cover of the band’s albums? Depending on my intent (which, at 6pm on a Thursday in Bellevue = probably traffic map) the engine needs to decide which of the curated, sematically tagged data it will display AND how it will display it in real time. Anne’s point is right on – visual does seem to be a way we can radically improve discovery and task completion for certain types of queries and we at Bing are aggressively pursuing alternative display models that do just that.

    Thanks for the story!
    Stefan Weitz
    Director, Bing

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