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Abstract: Nearest-neighbor collaborative filtering (CF) algorithms are gaining widespread acceptance in recommender systems and e-commerce applications. User ratings are not expected to be independent, as users follow trends of similar rating behavior. In terms of Text Mining, this is analogous to the formation of higher-level concepts from plain terms. In this paper, we propose a novel CF algorithm which uses Latent Semantic Indexing (LSI) to detect rating trends and performs recommendations... (Update)
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BibTeX entry: (Update)
@misc{ and-scalable,
author = "Panagiotis Symeonidis And",
title = "Scalable Collaborative Filtering based on Latent Semantic Indexing",
url = "citeseer.ist.psu.edu/761699.html" }
Citations (may not include all citations):192 Using linear algebra for intelligent information retrieval - Berry, Dumais et al. - 1994 ACM
188 Empirical analysis of predictive algorithms for collaborativ.. - Breese, Heckerman et al. - 1998 DBLP
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