A latent model for collaborative filtering

Helge Langseth, Thomas Dyhre Nielsen

Publikation: Working paperForskning

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Resumé

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. In this paper, we propose a collaborative filtering model that contains an explicit representation of all items and users. Experimental results show that the proposed system obtains significantly better results than other collaborative filtering systems (evaluated on the MovieLens data set). Furthermore, the explicit representation of all users and items allows the model to e.g. make group-based recommendations balancing the preferences of the individual users.
OriginalsprogEngelsk
Udgivelses stedAalborg Universitet
UdgiverDepartment of Computer Science, Aalborg University
Antal sider24
StatusUdgivet - 2009

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Collaborative filtering
Recommender systems

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    Langseth, H., & Nielsen, T. D. (2009). A latent model for collaborative filtering. Aalborg Universitet: Department of Computer Science, Aalborg University.
    Langseth, Helge ; Nielsen, Thomas Dyhre. / A latent model for collaborative filtering. Aalborg Universitet : Department of Computer Science, Aalborg University, 2009.
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    abstract = "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. In this paper, we propose a collaborative filtering model that contains an explicit representation of all items and users. Experimental results show that the proposed system obtains significantly better results than other collaborative filtering systems (evaluated on the MovieLens data set). Furthermore, the explicit representation of all users and items allows the model to e.g. make group-based recommendations balancing the preferences of the individual users.",
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    Langseth, H & Nielsen, TD 2009 'A latent model for collaborative filtering' Department of Computer Science, Aalborg University, Aalborg Universitet.

    A latent model for collaborative filtering. / Langseth, Helge; Nielsen, Thomas Dyhre.

    Aalborg Universitet : Department of Computer Science, Aalborg University, 2009.

    Publikation: Working paperForskning

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    Langseth H, Nielsen TD. A latent model for collaborative filtering. Aalborg Universitet: Department of Computer Science, Aalborg University. 2009.