Communications of the ACM · 2012 · 19 citations · 19 references
Historical GeographyEngineeringCommunicationSocial NetworkSocial SciencesText MiningSocial MediaInformation RetrievalSocial SearchRural SociologyUrban HistoryRural CultureAardvark UsersSocial Network AnalysisSearch TechnologySearch Engine DesignSocial WebLandscape ArchaeologySocial ComputingHuman-computer InteractionSocial Search EngineEthnographyAnthropologySocial AnthropologyCultural Anthropology
We describe Aardvark, a social search engine. With Aardvark, users ask a question, either by instant message, e-mail, Web input, text message, or voice. Aardvark then routes the question to the person in the user's extended social network most likely to be able to answer that question. As compared to a traditional Web search engine, where the challenge lies in finding the right document to satisfy a user's information need, the challenge in a social search engine like Aardvark lies in finding the right person to satisfy a user's information need. Further, while trust in a traditional search engine is based on authority, in a social search engine like Aardvark, trust is based on intimacy. We describe how these considerations inform the architecture, algorithms, and user interface of Aardvark, and how they are reflected in the behavior of Aardvark users.
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The PageRank Citation Ranking : Bringing Order to the Web
Lawrence M. Page, Sergey Brin, Rajeev Motwani et al. · 1999 · 12.6K citations
Probabilistic Latent Semantic Indexing
Thomas Hofmann · ACM SIGIR Forum · 2017 · 4K citations
Engineering, Probabilistic Variant, Latent Semantic Indexing +18
Probabilistic latent semantic indexing
Thomas Hofmann · 1999 · 3.9K citations · Full text