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Recommendation systems Paolo Ferragina Dipartimento di Informatica Università di Pisa Slides only!
Recommendations n We have a list of restaurants n with and ratings for some Which restaurant(s) should I recommend to Dave?
Basic Algorithm n Recommend the most popular restaurants n n say # positive votes minus # negative votes What if Dave does not like Spaghetti?
Smart Algorithm n Basic idea find the person “most similar” to Dave : according to cosine-similarity (i. e. Estie), and then recommend something this person likes. n Perhaps recommend Straits Cafe to Dave Do you want to rely on one person’s opinions?
Main idea U V W Y d 1 d 2 d 3 d 4 d 5 d 6 d 7 What do we suggest to U ?
Search Engines Advertising Slides only!
Classic approach… Socio-demo Geographic Contextual
Search Engines vs Advertisement n First generation -- use only on-page, web-text data n Word frequency and language Pure search vs Paid search n Second generation -- use off-page, web-graph data n n Link (or connectivity) analysis Anchor-text (How people refer to a page) Ads show on search (who pays more), Goto/Overture n Third generation -- answer “the need behind the query” n n n Focus on “user need”, rather than on query Integrate multiple data-sources Click-through data 2003 Google/Yahoo New model All players now have: SE, Adv platform + network
The new scenario n SEs make possible n n n aggregation of interests unlimited selection (Amazon, Netflix, . . . ) Incentives for specialized niche players The biggest money is in the smallest sales !!
Two new approaches n Sponsored search: Ads driven by search keywords (and user-profile issuing them) Ad. Words
Two new approaches n Sponsored search: Ads driven by search keywords (and user-profile issuing them) Ad. Words n Context match: Ads driven by the content of a web page (and user-profile reaching that page) Ad. Sense
How does it work ? 1) 2) 3) Match Ads to query or pg content Order the Ads Pricing on a click-through IR Econ
Visited Pages Clicked Banner Web Searches Clicks on Search Results Web usage data !!!
A new game n Similar to web searching, but: Ad-DB is smaller, Ad-items are small pages, ranking depends on clicks For advertisers: n n n What words to buy, how much to pay SPAM is an economic activity For search engines owners: n How to price the words n Find the right Ad n Keyword suggestion, geo-coding, business control, language restriction, proper Ad display