A Framework for Collaborative, Content-Based and Demographic Filtering
Citations
9,873 citations
Cites background from "A Framework for Collaborative, Cont..."
...Once the unknown ratings are estimated, actual recommendations of an item to a user are made by selecting the highest rating among all the estimated ratings for that user, according to (1)....
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3,883 citations
Cites background or methods from "A Framework for Collaborative, Cont..."
...Pazzani’s combination hybrid does not use numeric scores, but rather treats the output of each recommender (collaborative, content-based and demographic) as a set of votes, which are then combined in a consensus scheme (Pazzani, 1999)....
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...In other systems, machine learning is used to arrive at a classi¢er based on demographic data (Pazzani, 1999)....
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...A meta-level hybrid that focuses exclusively on recommendation is described by Pazzani (1999) as ‘collaboration via content’....
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3,406 citations
Cites background from "A Framework for Collaborative, Cont..."
...Other hybrid recommenders in this category include mixed hybrid recommenders [124], cascade hybrid recommenders [115], meta-level recommenders [110, 115, 117, 125], and so forth....
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...Content-based recommender systems make recommendations by analyzing the content of textual information, such as documents, URLs, news messages, web logs, item descriptions, and profiles about users’ tastes, preferences, and needs, and finding regularities in the content [110]....
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...The combination can be linear, the weights can be adjustable [46], and weighted majority voting [110, 122] or weighted average voting [118] can be used....
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...However, hybrid recommenders rely on external information that is usually not available, and they generally have increased complexity of implementation [110, 115, 126]....
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2,639 citations
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2,160 citations
References
19,881 citations
"A Framework for Collaborative, Cont..." refers methods in this paper
...The mathematical technique underlying latent semantic indexing, singular value decomposition ( Press, Flannery, Teukolsky, & Vetterling, 1990 ) reduces the dimensionality of the matrix used by content-based filtering....
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17,604 citations
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