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High volume and personal taste makes Usenet news an ideal candidate for collaborative filtering techniques. Applying Collaborative Filtering to Usenet News T HE GROUPLENS PROJECT DESIGNED, IMPLEMENTED, AND EVALUATED a collaborative filtering system for Usenet news—a high-volume , high-turnover discussion list service on the Internet. Usenet newsgroups—the(More)
Recommender systems have changed the way people shop online. Recommender systems on wireless mobile devices may have the same impact on the way people shop in stores. We present our experience with implementing a recommender system on a PDA that is occasionally connected to the network. This interface helps users of the MovieLens movie recommendation(More)
Recommender systems using collaborative filtering are a popular technique for reducing information overload and finding products to purchase. One limitation of current recommenders is that they are not portable. They can only run on large computers connected to the Internet. A second limitation is that they require the user to trust the owner of the(More)
~Uaborative fltering systems help address information overload by using the opinions of users in a community to make personrd recommendations for douents to each user. h[any collaborative fltering systems have few user opinions relative to the large number of documents avtiabIe. W sparsity problem can reduce the utity of the ~tering system by reducing the(More)
We have begun a long-term project to build a new kind of database and its enhanced, supporting database management system (DBMS) for international neuroscience research. Because brain research occurs worldwide , our database will be distributed, encouraging rapid, open dissemination of results to a broad audience of neuroscientists. It will conjoin(More)
Special Session: series of presentations related to a specific theme. This session will focus on ways that Python is being used to successfully facilitate introductory computer science courses. After a brief introduction, we will present three different models for CS1 and CS2 using Python. Attendees will then participate in a discussion/question-answer(More)
In laboratories around the world, neuroscientists from diverse disciplines are exploring various aspects of brain structure. Because of the size of the domain, neuroscientists must specialize, making it dif-cult to t results together and causing some research eeorts to be duplicated because of lack of sharing of information. We have begun a long-term(More)
The SIGCSE community has been exploring the role of multimedia to enhance computing education since the earliest algorithm visualization systems and studies [1]. Media Computation is a shift in focus [2]. Where algorithm visualization presents information to the student to facilitate their understanding, media computation is about having students manipulate(More)