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Volumn , Issue , 2013, Pages 107-115

LinkedVis: Exploring social and semantic career recommendations

Author keywords

Data integration; Hybrid recommender systems; Social web; User interfaces; Visual knowledge representation

Indexed keywords

HYBRID RECOMMENDER SYSTEMS; INTERACTIVE INTERFACES; NATURAL LANGUAGE PROCESSING; PERSONALIZED RECOMMENDATION; RECOMMENDATION ALGORITHMS; SEMANTIC INFORMATION; SOCIAL WEBS; VISUAL KNOWLEDGE REPRESENTATIONS;

EID: 84875827146     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2449396.2449412     Document Type: Conference Paper
Times cited : (35)

References (26)
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    • Burke, R. Hybrid recommender systems: Survey and experiments. User Modeling and User-Adapted Interaction 12, 4 (2002), 331-370.
    • (2002) User Modeling and User-Adapted Interaction , vol.12 , Issue.4 , pp. 331-370
    • Burke, R.1
  • 9
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    • Eigentaste: A constant time collaborative filtering algorithm
    • Goldberg, K., Roeder, T., Gupta, D., and Perkins, C. Eigentaste: A constant time collaborative filtering algorithm. Information Retrieval 4, 2 (2001), 133-151.
    • (2001) Information Retrieval , vol.4 , Issue.2 , pp. 133-151
    • Goldberg, K.1    Roeder, T.2    Gupta, D.3    Perkins, C.4
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    • Modeling topic specific credibility on twitter
    • Kang, B., O'Donovan, J., and Höllerer, T. Modeling topic specific credibility on twitter. In IUI (2012), 179-188.
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    • Kang, B.1    O'Donovan, J.2    Höllerer, T.3
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    • Content-boosted collaborative filtering for improved recommendations
    • American Association for Artificial Intelligence Menlo Park, CA, USA
    • Melville, P., Mooney, R. J., and Nagarajan, R. Content-boosted collaborative filtering for improved recommendations. In Eighteenth national conference on Artificial intelligence, American Association for Artificial Intelligence (Menlo Park, CA, USA, 2002), 187-192.
    • (2002) Eighteenth National Conference on Artificial Intelligence , pp. 187-192
    • Melville, P.1    Mooney, R.J.2    Nagarajan, R.3
  • 22
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    • Item-based collaborative filtering recommendation algorithms
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  • 23
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    • Evaluating recommendation systems
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    • Shani, G., and Gunawardana, A. Evaluating recommendation systems. In Recommender Systems Handbook, F. Ricci, L. Rokach, B. Shapira, and P. B. Kantor, Eds. Springer, 2011, 257-297.
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    • Shani, G.1    Gunawardana, A.2
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    • Designing and evaluating explanations for recommender systems
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    • Tintarev, N.1    Masthoff, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.