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Creating a Search Experience that Satisfies You. Jaime Teevan and Susan Dumais Microsoft Research. Query: bellevue. D emo. PSearch. How PSearch Works. bellevue. User profile: Content, interaction history. Cool. . But…. How much can my profile really say about me?
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Creating a Search Experience that Satisfies You Jaime Teevan and Susan Dumais Microsoft Research
Demo PSearch
How PSearchWorks bellevue User profile: Content, interaction history
Cool. But… • How much can my profile really say about me? • It’s kind of spooky – what about my privacy? • Wow, it really screws up sometimes • I have no idea why that result showed up • Works too well – it’s the end of serendipity!
Cool. But… • How much can my profile really say about me? • It’s kind of spooky – what about my privacy? • Wow, it really screws up sometimes • I have no idea why that result showed up • Works too well – it’s the end of serendipity!
Cool. But… • How much can my profile really say about me? • It’s kind of spooky – what about my privacy? • Wow, it really screws up sometimes • I have no idea why that result showed up • Works too well – it’s the end of serendipity!
Building a User Profile • Type of information: • Content: Past queries, desktop search index • Behavior: Visited URLs/sites, explicit feedback • Time frame: Short term, long term • Who: Individual, group • Where: Local, server PSearch Groupization Session Memory uRank Query suggest
Cool. But… • How much can my profile really say about me? • It’s kind of spooky – what about my privacy? • Wow, it really screws up sometimes • I have no idea why that result showed up • Works too well – it’s the end of serendipity!
When to Personalize • Some queries personalize well • bellevuev. bellevuewashingtonwestin homepage • Predict which queries personalize well using behavioral data • For some queries, a user may be unique in information need • bingto find Bing.com v. bingby a cherry farmer Potential for personalization DCG Number of People
When to Personalize • Some queries personalize well • bellevuev. bellevuewashingtonwestin homepage • Predict which queries personalize well using behavioral data • For some queries, a user may be unique in information need • bingto find Bing.com v. bingby a cherry farmer DCG Number of People
When to Personalize • High impact opportunities • Re-finding • Personalization strategies that do not affect ranking • Allow people to filter and sort (seen/not, personally relevant) • Personalize display to aid in relevance assessment bellevue 43% bellevue , wa Home Page (Official City of Bellevue Website) Bellevue is a rapidly growing city in King County, Washington, U.S., across Lake Washington from Seattle... Downtown Bellevue is undergoing rapid change. It is currently the second largest city center in Washington state with over 35,000 ... www.ci.bellevue.wa.us Home Page (Official City of Bellevue Website) Bellevue is a rapidly growing city in King County, Washington, U.S., across Lake Washington from Seattle... Residents of the Bridle Trails NEP area selected the “Equestrian Community Art” project as one of their top priority projects, and ... www.ci.bellevue.wa.us
Cool. But… • How much can my profile really say about me? • It’s kind of spooky – what about my privacy? • Wow, it really screws up sometimes • I have no idea why that result showed up • Works too well – it’s the end of serendipity!
Better Serendipity • Interestingness v. relevance • Personalization finds more relevant results • Personalization finds more interesting results • Even when interesting results not relevant • Need to be ready for serendipity Office Communicator Team Blog : Alex Hehmeyer's Bio I’m a Program Manager on the Office Communicator team responsible for Communicator’s integration with Exchange and Office as well as Presence. Alex Hehmeyer communicatorteam.com/articles/50.aspx Goldenberg Hehmeyer Co Ghco Penson GHCO is a registered futures commission merchant (FCM) offering exchange access and clearing services to clients trading in domestic and global markets. Penson GHCO is a ... www.ghco.com Baby a bar to getting work, mother told | Money | The ... Goldenberg Hehmeyer reject her claim. After a 16-year career Ms Winship was sacked from her £70,000 a year job as financial controller with the US fund management firm. www.guardian.co.uk/money/2004/aug/11/society.workandcareers
Cool. But… • How much can my profile really say about me? • It’s kind of spooky – what about my privacy? • Wow, it really screws up sometimes • I have no idea why that result showed up • Works too well – it’s the end of serendipity!
1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 People Revisit Today’s Browse and Search Experiences Use History to Enrich the Future Content Changes 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 But, ignores …
Using Context History in Search • Crawl policy (common use) • Index terms based on staying power • jazzfest, summer, • Expose changed content to user bellevue, meydenbauer Home Page (Official City of Bellevue Website) Bellevue is a rapidly growing city in King County, Washington, U.S., across Lake Washington from Seattle... Residents of the Bridle Trails NEP area selected the “Equestrian Community Art” project as one of their top priority projects, and ... www.ci.bellevue.wa.us Home Page (Official City of Bellevue Website) Bellevue is a rapidly growing city in King County, Washington, U.S., across Lake Washington from Seattle... Residents of the Bridle Trails NEP area selected the “Equestrian Community Art” project as one of their top priority projects, and ... New content: Carport destroyed, house damaged in Eastgate fire... Neighbor Link connects needs and community building www.ci.bellevue.wa.us
Demo DiffIE
Personalization J. Teevan, S. T. Dumais, and E. Horvitz. Personalizing search via automated analysis of interests and activities. SIGIR 2005. • PersonalizationTeevan, J., S. Dumais, and E. Horvitz. Potential for Personalization. TOCHI 2009. • Personalization J. Teevan, S. T. Dumais, and D. J. Liebling. To personalize or not to personalize: Modeling queries with variation in user intent. SIGIR 2008. Groupization Teevan, J., M. R. Morris, and S. Bush. Discovering and using groups to personalize search. WSDM 2009. SerendipityAndre, P., J. Teevan, and S. T. Dumais. From x-rays to silly putty via Uranus: Serendipity and its role in Web search. CHI 2009. Jaime Teevan and Susan Dumais http://research.microsoft.com/~teevan/
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