Gaussian-Gamma collaborative filtering: A hierarchical Bayesian model for recommender systems
نویسندگان
چکیده
منابع مشابه
Collaborative Filtering Recommender Systems
One of the potent personalization technologies powering the adaptive web is collaborative filtering. Collaborative filtering (CF) is the process of filtering or evaluating items through the opinions of other people. CF technology brings together the opinions of large interconnected communities on the web, supporting filtering of substantial quantities of data. In this chapter we introduce the c...
متن کاملCollaborative Filtering Recommender Systems
Recommender systems are an important part of the information and e-commerce ecosystem. They represent a powerful method for enabling users to filter through large information and product spaces. Nearly two decades of research on collaborative filtering have led to a varied set of algorithms and a rich collection of tools for evaluating their performance. Research in the field is moving in the d...
متن کاملCollaborative Filtering Recommender Systems
Recommender Systems are software tools and techniques for suggesting items to users by considering their preferences in an automated fashion. The suggestions provided are aimed at support users in various decisionmaking processes. Technically, recommender system has their origins in different fields such as Information Retrieval (IR), text classification, machine learning and Decision Support S...
متن کاملA framework for collaborative filtering recommender systems
As the use of recommender systems becomes more consolidated on the Net, an increasing need arises to develop some kind of evaluation framework for collaborative filtering measures and methods which is capable of not only testing the prediction and recommendation results, but also of other purposes which until now were considered secondary, such as novelty in the recommendations and the users' t...
متن کاملCollaborative Filtering in Recommender Systems
Definitions Recommendation generation problem. Given a set of users and their (incomplete) preferences over set of items, find, for each user new items for which they would have high preferences. Typically, utility function is incomplete. Problem. The main problem solved by collaborative filtering methods/recommender systems can be phrased in a number of ways: • User-based recommendations. Give...
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ژورنال
عنوان ژورنال: Journal of Computer and System Sciences
سال: 2019
ISSN: 0022-0000
DOI: 10.1016/j.jcss.2017.03.007