Campus Event Calendar
Event Entry
What and Who
Feature Weighting in Content Based Recommendation System Using Social Network Analysis
Souvik Debnath
Indian Institute of Technology, Kharagpur
PhD Application Talk
AG 1, AG 3, AG 4, AG 5, SWS, RG1, MMCI
Public Audience
English
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Date, Time and Location
Monday, 19 October 2009
09:00
240 Minutes
E1 4
024
Saarbrücken
Abstract
Recommendation system has been seen to be very useful for user to select an item amongst many. While most existing recommendation system relies either on a collaborative approach or a content-based approach to make recommendations, a combination (a hybrid approach) of them can improve the quality of recommendation. My work is on a hybrid approach where attributes used for content based recommendations are assigned weights depending on their importance to users. The weight values are estimated from a set of linear regression equations obtained from a social network graph which captures human judgment about similarity of items.
Contact
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Jennifer Gerling, 10/07/2009 17:07
Heike Przybyl, 10/07/2009 16:24 -- Created document.
Heike Przybyl, 10/07/2009 16:24 -- Created document.