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Rakesh et al., 2014 - Google Patents

Personalized recommendation of twitter lists using content and network information

Rakesh et al., 2014

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Document ID
2332161898374651681
Author
Rakesh V
Singh D
Vinzamuri B
Reddy C
Publication year
Publication venue
Proceedings of the International AAAI Conference on Web and Social Media

External Links

Snippet

Lists in social networks have become popular tools to orga-nize content. This paper proposes a novel framework for rec-ommending lists to users by combining several features thatjointly capture their personal interests. Our contribution is oftwo-fold. First, we develop a …
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Classifications

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    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • G06F17/30864Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
    • GPHYSICS
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    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • G06F17/30873Retrieval from the Internet, e.g. browsers by navigation, e.g. using categorized browsing, portals, synchronized browsing, visual networks of documents, virtual worlds or tours
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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    • G06Q30/00Commerce, e.g. shopping or e-commerce
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    • G06Q10/00Administration; Management
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