Movie Recommendation using Random Walks over the Contextual Graph
Research output: Contribution to conference › Paper › Research › peer-review
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Movie Recommendation using Random Walks over the Contextual Graph. / Bogers, Toine.
2010. Paper presented at Second Workshop on Context-Aware Recommender Systems, Barcelona, Spain.Research output: Contribution to conference › Paper › Research › peer-review
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TY - CONF
T1 - Movie Recommendation using Random Walks over the Contextual Graph
AU - Bogers, Toine
PY - 2010
Y1 - 2010
N2 - Recommender systems have become an essential tool in fighting information overload. However, the majority of recommendation algorithms focus only on using ratings information, while disregarding information about the context of the recommendation process. We present ContextWalk, a recommendation algorithm that makes it easy to include different types of contextual information. It models the browsing process of a user on a movie database website by taking random walks over the contextual graph. We present our approach in this paper and highlight a number of future extensions with additional contextual information.
AB - Recommender systems have become an essential tool in fighting information overload. However, the majority of recommendation algorithms focus only on using ratings information, while disregarding information about the context of the recommendation process. We present ContextWalk, a recommendation algorithm that makes it easy to include different types of contextual information. It models the browsing process of a user on a movie database website by taking random walks over the contextual graph. We present our approach in this paper and highlight a number of future extensions with additional contextual information.
KW - recommender systems
KW - context
KW - random walks
KW - contextual recommendation
KW - movie recommendation
M3 - Paper
T2 - Second Workshop on Context-Aware Recommender Systems
Y2 - 26 September 2010 through 30 September 2010
ER -
ID: 47059697