Using collaborative filtering to weave an information tapestry

In online advertising, response prediction is the problem of esti- mating the probability that an advertisement is clicked when dis- played on a content publishers webpage. In this paper, we show how response prediction can be viewed as a problem of…

In recent years, recommender systems have achieved a great success. Popular sites like Amazon.com and CDNow give thousands of recommendations every day. However; although many activities are carried out in groups, like going to the theater with…

An iterative method based on the block matching collaborative filtering is proposed for image interpolation. Unlike the conventional interpolation methods, the proposed method first utilizes the wavelet-based linear interpolation method to generate…

Software component retrieval systems are widely used to retrieve reusable software components. This paper proposes recommendation system integrated into software component retrieval system based on collaborative filtering. Our system uses browsing…

Two major challenges in collaborative filtering are the efficiency of the algorithms and the quality of the recommendations. A variety of machine learning methods have been applied to address these two issues, including feature selection, instance…

Collaborative information filtering techniques play a key role in many Web 2.0 applications. While they are currently mainly used for business purposes such as product recommendation, collaborative filtering also has potential for usage in eLearning…

This study examined the impact of collaborative filtering (the so-called recommender) on college students use of an online forum for English learning. The forum was created with an open-source software, Drupal, and its extended recommender module.…

Vast numbers of free/open source software (F/OSS) development projects use hosting sites such as Java.net and Source-Forge.net. These sites provide each project with a variety of software repositories (e.g. repositories for source code sharing, bug…

Interactive genetic algorithm (iGA) is one of evolutionary computations in which the design candidates are evaluated by human. Using iGA, the sensibility and subjective feelings of humans can be optimized by learning the user's evaluation of…

In recent years, the popularity of online radio has exploded. This new entertainment medium affords an opportunity not available to conventional broadcast radio: the instantaneous listening audience can be known, or what is more important, the…