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2008
La Feuille » Archive du blog » “si vous avez aimé cet ouvrage, vous aimerez peut-être aussi…”
by CharlesNepote
Hubert Guillaud évoque l'extension du fameux mécanisme d'Amazon.com ("les personnes qui ont acheté ce livre ont aussi acheté...") au monde des catalogues de bibliothèques : “si vous avez aimé cet ouvrage, vous aimerez peut-être aussi…”. Illustre le fait qu'il est possible de personnaliser à peu de frais, sans identifier.
2006
Vogoo - Web Site Personalization & Collaborative Filtering
by nhoizey
& 1 other
Vogoo PHP LIB v1.6 is a free PHP LIB licensed under the terms of the GNU GPL.
With Vogoo PHP LIB, you can easily and freely add professional collaborative filtering features to your Web Site.
Implementing a Rating-Based Item-to-Item Recommender System in PHP/SQL
by nhoizey
& 1 other
(via)
This paper presents a database-driven approach to item-to-item collaborative filtering which is both easy to implement and can support a full range of applications.
Collaborative filtering - Wikipedia, the free encyclopedia
by nhoizey
& 2 others
(via)
Collaborative filtering (CF) is the method of making automatic predictions (filtering) about the interests of a user by collecting taste information from many users (collaborating)
COFE : COllaborative Filtering Engine
by nhoizey
The recommendation engine is responsible for analyzing ratings, determining who is neighbor to whom, and computing the predictions and recommendations. The CoFE is one such recommendation engine.
SourceForge.net: DBLens
by nhoizey
(via)
DBLens is a Oracle-based toolkit for performing collaborative filtering. DBLens is a collection of PL/SQL code and accompanying shell scripts that provides a flexible and efficient method for performing collaborative filtering.
1
(9 marks)
