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2011
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Investigating topic models for social media user recommendation

8 years 8 months ago
Investigating topic models for social media user recommendation
This paper presents a user recommendation system that recommends to a user new friends having similar interests. We automatically discover users’ interests using Latent Dirichlet Allocation (LDA), a linguistic topic model that represents users as mixtures of topics. Our system is able to recommend friends for 4 million users with high recall, outperforming existing strategies based on graph analysis. Categories and Subject Descriptors I.2.7 [Artificial Intelligence]: Natural Language Processing—language models General Terms Algorithms Keywords social media, user recommendation, topic models, LDA
Marco Pennacchiotti, Siva Gurumurthy
Added 15 May 2011
Updated 15 May 2011
Type Journal
Year 2011
Where WWW
Authors Marco Pennacchiotti, Siva Gurumurthy
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