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UID:www.tcs.tifr.res.in/event/338
DTSTAMP:20230914T125920Z
SUMMARY:Web Usage Mining and Recommender Systems
DESCRIPTION:Speaker: S.P. Mudur (Concordia University\nComputer Science and
  Software Engineering\n1455\, de Maisonneuve Blvd. West\nEV 3-159\, Montre
 al\,\nQuebec\, H3G\, 1M8\nCanada)\n\nAbstract: \nWeb Usage Mining is the a
 pplication of data mining techniques for discovery and analysis of user ac
 cess patterns from the interaction generated by the users in the form of a
 ccess logs\, proxy-server logs\, browser logs\, etc. One major application
  is the use of these patterns in prediction and recommender systems to hel
 p personalize user browsing tasks. Web usage mining consists of three phas
 es\, namely preprocessing\, pattern discovery and pattern analysis. This t
 alk will first provide an overview of the web usage mining and recommendat
 ion processes\, and then briefly describe some of the issues addressed in 
 the research carried out with my students at Concordia.\n
URL:https://www.tcs.tifr.res.in/web/events/338
DTSTART;TZID=Asia/Kolkata:20130215T113000
DTEND;TZID=Asia/Kolkata:20130215T123000
LOCATION:A-212 (STCS Seminar Room)
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