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79
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AAAI
1998
15 years 1 months ago
Recommendation as Classification: Using Social and Content-Based Information in Recommendation
Recommendationsystems makesuggestions about artifacts to a user. For instance, they maypredict whether a user wouldbe interested in seeing a particular movie. Social recomendation...
Chumki Basu, Haym Hirsh, William W. Cohen
90
Voted
WWW
2008
ACM
16 years 26 days ago
Feature weighting in content based recommendation system using social network analysis
We propose a hybridization of collaborative filtering and content based recommendation system. Attributes used for content based recommendations are assigned weights depending on ...
Souvik Debnath, Niloy Ganguly, Pabitra Mitra
CHI
2006
ACM
16 years 17 days ago
Accounting for taste: using profile similarity to improve recommender systems
Recommender systems have been developed to address the abundance of choice we face in taste domains (films, music, restaurants) when shopping or going out. However, consumers curr...
Philip Bonhard, Clare Harries, John D. McCarthy, M...
87
Voted
EKAW
2010
Springer
14 years 10 months ago
Enhancing Content-Based Recommendation with the Task Model of Classification
Yiwen Wang, Shenghui Wang, Natalia Stash, Lora Aro...
100
Voted
RECSYS
2010
ACM
15 years 11 days ago
Recommending twitter users to follow using content and collaborative filtering approaches
Recently the world of the web has become more social and more real-time. Facebook and Twitter are perhaps the exemplars of a new generation of social, real-time web services and w...
John Hannon, Mike Bennett, Barry Smyth