منابع مشابه
A latent model for collaborative filtering
Recommender systems based on collaborative filtering have received a great deal of interest over the last decade. Typically, these types of systems either take a user-centered or an item-centered approach when making recommendations, but by employing only one of these two perspectives we may unintentionally leave out important information that could otherwise have improved the recommendations. ...
متن کاملA Latent Source Model for Online Collaborative Filtering
Despite the prevalence of collaborative filtering in recommendation systems, there has been little theoretical development on why and how well it works, especially in the “online” setting, where items are recommended to users over time. We address this theoretical gap by introducing a model for online recommendation systems, cast item recommendation under the model as a learning problem, and an...
متن کاملLatent Class Models for Collaborative Filtering
This paper presents a statistical approach to collaborative filtering and investigates the use of latent class models for predicting individual choices and preferences based on observed preference behavior. Two models are discussed and compared: the aspect model, a probabilistic latent space model which models individual preferences as a convex combination of preference factors, and the two-sid...
متن کاملLatent Factor Interpretations for Collaborative Filtering
Many machine learning systems utilize latent factors as internal representations for making predictions. However, since these latent factors are largely uninterpreted, predictions made using them are opaque. Collaborative filtering via matrix factorization is a prime example of such an algorithm that uses uninterpreted latent features, and yet has seen widespread adoption for many recommendatio...
متن کاملLatent Factor Transition for Dynamic Collaborative Filtering
User preferences change over time and capturing such changes is essential for developing accurate recommender systems. Despite its importance, only a few works in collaborative filtering have addressed this issue. In this paper, we consider evolving preferences and we model user dynamics by introducing and learning a transition matrix for each user’s latent vectors between consecutive time wind...
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ژورنال
عنوان ژورنال: International Journal of Approximate Reasoning
سال: 2012
ISSN: 0888-613X
DOI: 10.1016/j.ijar.2011.11.002