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Latent Semantic Indexing: A Probabilistic Analysis

Summary: Gives a rigorous probabilistic analysis proving LSI recovers latent semantics and improves retrieval under specific generative conditions. Proposes random-projection acceleration and frames results as theoretical justification for spectral methods (e.g., collaborative filtering). (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1141
Venue
PODS
Year
1998
Pagerank
0.00023512226
Overall Rank
428 | 97.03%
DOI
-

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
72 Combining Fuzzy Information from Multiple Systems 1996 PODS 0.00058577335
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