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INTRODUCTION TO MARKETING MODELS -
Scott Smith, William Swinyard
Combining Collaborative Filtering with Personal Agents for Better Recommendations -
In AAAI/IAAI (1999), pp. 439-446.
Information filtering agents and collaborative filtering both attempt to alleviate information overload by identifying which items a user will find worthwhile….
The Role of the Management Sciences in Research on Personalization -
Management Science, Vol. 49, No. 10. (2003), pp. 1344-1362.
We present a review of research studies that deal with personalization and synthesize current knowledge about these areas. We identify…
The Paradox of Choice: Why More Is Less -
(01 January 2005)
<p>Whether we’re buying a pair of jeans, selecting a long-distance carrier, choosing a doctor, or setting up a 401(k), everyday decisions — from the mundane to the profound…
Combining Content and Collaboration in Text Filtering -
In In Proceedings of the IJCA 99 Workshop on Machine Learning for Information Filtering (1999), pp. 86-91.
Ian Soboroff, Charles Nicholas
Social information filtering: algorithms for automating “word of mouth” -
In CHI ‘95: Proceedings of the SIGCHI conference on Human factors in computing systems (1995), pp. 210-217.
This paper describes a technique for making personalized recommendations from any type of…
PHOAKS: a system for sharing recommendations -
Commun. ACM, Vol. 40, No. 3. (March 1997), pp. 59-62.
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather…
Threshold Setting and Performance Optimization in Adaptive Filtering -
Information Retrieval, Vol. 5, No. 2. (1 April 2002), pp. 239-256.
An experimental adaptive filtering system, built on the Okapi search engine, is described. In addition to the regular text…
Data Smog: Surviving the Information Glut Revised and Updated Edition -
(01 June 1998)
David Shenk