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ADAPTIVE
2007
Springer
13 years 11 months ago
Content-Based Recommendation Systems
This chapter discusses content-based recommendation systems, i.e., systems that recommend an item to a user based upon a description of the item and a profile of the user’s inter...
Michael J. Pazzani, Daniel Billsus
WWW
2008
ACM
14 years 5 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 6 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
OHS
2001
Springer
13 years 9 months ago
METIOREW: An Objective Oriented Content Based and Collaborative Recommending System
The size of Internet has been growing very fast and many documents appear every day in the Net. Users find many problems to obtain the information that they really need. In order t...
David Bueno, Ricardo Conejo, Amos David
CATA
2006
13 years 6 months ago
Shoechicken: An Intelligent System for Recommending RSS/Atom Content
We present Shoechicken, an intelligent agentbased system for rating RSS and Atom news content based on user preferences. The system builds a user profile implicitly by observing a...
James Horsley, Michael Wooten, Eman El-Sheikh