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HT
2010
ACM
13 years 6 months ago
Capturing implicit user influence in online social sharing
Online social sharing sites are becoming very popular nowadays among Web users, who use these sites to share their favourite items and to discover interesting and useful items fro...
Ching-man Au Yeung, Tomoharu Iwata
PKDD
2010
Springer
313views Data Mining» more  PKDD 2010»
13 years 3 months ago
Topic Modeling for Personalized Recommendation of Volatile Items
One of the major strengths of probabilistic topic modeling is the ability to reveal hidden relations via the analysis of co-occurrence patterns on dyadic observations, such as docu...
Maks Ovsjanikov, Ye Chen
SIGIR
2012
ACM
11 years 7 months ago
Predicting the ratings of multimedia items for making personalized recommendations
Existing multimedia recommenders suggest a specific type of multimedia items rather than items of different types personalized for a user based on his/her preference. Assume tha...
Rani Qumsiyeh, Yiu-Kai Ng
STAIRS
2008
169views Education» more  STAIRS 2008»
13 years 6 months ago
Probabilistic Association Rules for Item-Based Recommender Systems
Since the beginning of the 1990's, the Internet has constantly grown, proposing more and more services and sources of information. The challenge is no longer to provide users ...
Sylvain Castagnos, Armelle Brun, Anne Boyer
ATAL
2009
Springer
13 years 11 months ago
Producing timely recommendations from social networks through targeted search
There has been a significant increase in interest and participation in social networking websites recently. For many users, social networks are indispensable tools for sharing pe...
Anil Gürsel, Sandip Sen