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» TV Content Recommender System
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WWW
2008
ACM
14 years 8 months 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
AAAI
2006
13 years 8 months ago
Mixed Collaborative and Content-Based Filtering with User-Contributed Semantic Features
We describe a recommender system which uses a unique combination of content-based and collaborative methods to suggest items of interest to users, and also to learn and exploit it...
Matthew Garden, Gregory Dudek
WWW
2005
ACM
14 years 8 months ago
Web-assisted annotation, semantic indexing and search of television and radio news
The Rich News system, that can automatically annotate radio and television news with the aid of resources retrieved from the World Wide Web, is described. Automatic speech recogni...
Mike Dowman, Valentin Tablan, Hamish Cunningham, B...
RECSYS
2010
ACM
13 years 7 months 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
CIKM
2009
Springer
14 years 1 months ago
Hydra: a hybrid recommender system [cross-linked rating and content information]
This paper discusses the combination of collaborative and contentbased filtering in the context of web-based recommender systems. In particular, we link the well-known MovieLens ...
Stephan Spiegel, Jérôme Kunegis, Fang...