Relational Collaborative Topic Regression for Recommender Systems
نویسندگان
چکیده
منابع مشابه
Context-Aware Collaborative Topic Regression with Social Matrix Factorization for Recommender Systems
Online social networking sites have become popular platforms on which users can link with each other and share information, not only basic rating information but also information such as contexts, social relationships, and item contents. However, as far as we know, no existing works systematically combine diverse types of information to build more accurate recommender systems. In this paper, we...
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Social network websites, such as Facebook, YouTube, Lastfm etc, have become a popular platform for users to connect with each other and share content or opinions. They provide rich information for us to study the influence of user’s social circle in their decision process. In this paper, we are interested in examining the effectiveness of social network information to predict the user’s ratings...
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Collaborative Topic Regression (CTR) combines ideas of probabilistic matrix factorization (PMF) and topic modeling (e.g., LDA) for recommender systems, which has gained increasing successes in many applications. Despite enjoying many advantages, the existing CTR algorithms have some critical limitations. First of all, they are often designed to work in a batch learning manner, making them unsui...
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Recommender systems use ratings from users on items such as movies and music for the purpose of predicting the user preferences on items that have not been rated. Predictions are normally done by using the ratings of other users of the system, by learning the user preference as a function of the features of the items or by a combination of both these methods. In this paper, we pose the problem ...
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The world of academia is growing at a tremendous rate with thousands of research papers being published every year. For a researcher looking for new dimensions of research, it is becoming an increasingly difficult task to identify the relevant yet novel domains of research from amongst the host of varied domains. There is a definite need of a system that could help the researchers in their deci...
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ژورنال
عنوان ژورنال: IEEE Transactions on Knowledge and Data Engineering
سال: 2015
ISSN: 1041-4347
DOI: 10.1109/tkde.2014.2365789