The anatomy of a large-scale social search engine

By Damon Horowitz, Sepandar D. Kamvar. The Web Conference, 2010

491 citations recorded by the source corpus.

Subfields: Computer Science Applications, Information Systems, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/75191fd7331e505b42b61770cb10025e65708a60

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Citations in the corpus

A Comprehensive Survey and Classification of Approaches for Community Question Answering (2016, background): “, mimir, where a mechanism of economic market managed to reduce non-serious and non-important questions [Hsieh and Counts 2009]). (3) Finally, peer-based services can be further divided into three subgroups: besides community question answering, it is also collaborative question answering and social”
VizWiz::LocateIt - enabling blind people to locate objects in their environment (2010, methodology): “For the purposes of this study, researchers answered requests in order to concentrate on the user interaction with the application, although our experience has been that workers on Mechanical Turk can quickly answer questions requiring them to outline objects.”
Visual challenges in the everyday lives of blind people (2013, background): “For example, the creators of the Aardvark social search engine noted that “the strategy for increasing the knowledge base of Aardvark crucially involves creating a good experience for users so that they remain active and are inclined to invite their friends,” and invested effort in creating a partic”
#TwitterSearch: a comparison of microblog search and web search (2011, background): “, [13]), when the term is used in the context of a search engine it refers to searches conducted over existing databases of socially-generated content such as blogs [22], tagged URLs [31], or archives of questions and answers [1].”
The socialbot network: when bots socialize for fame and money (2011, methodology): “For example, OSNs are used to defend against Sybil attacks in peer-to-peer systems [76], enable knowledge-sharing and personalization in social search [31], model trust in recommender systems [71], and cooperate safely in online peer-based backup systems [65].”
VizWiz: nearly real-time answers to visual questions (2010, background): “[28] VizWiz and quikTurkit explore how to use microtask marketplaces like Amazon’s Mechanical Turk to get answers back even faster.”
The jabberwocky programming environment for structured social computing (2011, background): “Incorporating real identities, social structure, and expertise modeling has proven valuable in a range of applications, for example, in question-answering with Aardvark [11].”
Design lessons from the fastest q&a site in the west (2011, background): “Aardvark, a social Q&A service [13] routes questions to the most relevant users who are online at the moment a question is asked; neither questions nor answers are shared with the community.”
Social Network Analysis and Mining for Business Applications (2011, background): “The question-answering community Aadvark11 [Horowitz and Kamvar 2010] offers a system for locating experts who can answer questions posed by the community.”