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Probabilistic Latent Maximal Marginal Relevance

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Date

2010

Authors

Guo, Shengbo
Sanner, Scott

Journal Title

Journal ISSN

Volume Title

Publisher

Association for Computing Machinery Inc (ACM)

Abstract

Description

Keywords

Keywords: Diversity; Diversity metrics; GraphicaL model; Latent semantic indexing; Latent variable; Maximal Marginal Relevance; Objective criteria; Probabilistic inference; Recommender systems; Similarity metrics; Term Frequency; Graphic methods; Information retrie Diversity; Graphical models; Maximal Marginal Relevance

Citation

URI

http://hdl.handle.net/1885/32382

Collections

ANU Research Publications

Source

Proceedings of International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2010)

Type

Conference paper

Book Title

Entity type

Access Statement

License Rights

DOI

10.1145/1835449.1835639

Restricted until

2037-12-31

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Description
01_Guo_Probabilistic_Latent_Maximal_2010.pdf (196.52 KB)

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