NDLI: A new approach for combining content-based and collaborative filters

Content Provider	Springer Nature Link
Author	Kim, Byeong Man Li, Qing Park, Chang Seok Kim, Si Gwan Kim, Ju Yeon
Copyright Year	2006
Abstract	With the development of e-commerce and the proliferation of easily accessible information, recommender systems have become a popular technique to prune large information spaces so that users are directed toward those items that best meet their needs and preferences. A variety of techniques have been proposed for performing recommendations, including content-based and collaborative techniques. Content-based filtering selects information based on semantic content, whereas collaborative filtering combines the opinions of other users to make a prediction for a target user. In this paper, we describe a new filtering approach that combines the content-based filter and collaborative filter to capitalize on their respective strengths, and thereby achieves a good performance. We present a series of recommendations on the selection of the appropriate factors and also look into different techniques for calculating user-user similarities based on the integrated information extracted from user profiles and user ratings. Finally, we experimentally evaluate our approach and compare it with classic filters, the result of which demonstrate the effectiveness of our approach.
Starting Page	79
Ending Page	91
Page Count	13
File Format	PDF
ISSN	09259902
Journal	Journal of Intelligent Information Systems
Volume Number	27
Issue Number	1
e-ISSN	15737675
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2006-08-18
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Information filtering Collaborative filtering Content-based filtering Recommendation system Data Structures, Cryptology and Information Theory Artificial Intelligence (incl. Robotics) Document Preparation and Text Processing Business Information Systems
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Computer Networks and Communications Information Systems Software Hardware and Architecture

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