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Volumn , Issue , 2019, Pages 2893-2899

A scalable hybrid research paper recommender system for Microsoft academic

Author keywords

Big data; Clustering; Document collection; K means; Recommender system; Word embedding

Indexed keywords

BIG DATA; BLENDING; K-MEANS CLUSTERING; PAPER; QUALITY CONTROL; WORLD WIDE WEB;

EID: 85066892457     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/3308558.3313700     Document Type: Conference Paper
Times cited : (72)

References (28)
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    • Robin D. Burke. 2002. Hybrid Recommender Systems: Survey and Experiments. User Modeling and User-adapted Interaction 12, 4 (2002), 331-370.
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    • Burke, R.D.1
  • 9
    • 85051131982 scopus 로고    scopus 로고
    • Research paper recommender systems on big scholarly data
    • Tsung Teng Chen and Maria R. Lee. 2018. Research Paper Recommender Systems on Big Scholarly Data.. In PKAW. 251-260.
    • (2018) PKAW , pp. 251-260
    • Chen, T.T.1    Lee, M.R.2
  • 10
    • 0034824884 scopus 로고    scopus 로고
    • Concept decompositions for large sparse text data using clustering
    • 2001
    • Inderjit S. Dhillon and Dharmendra S. Modha. 2001. Concept Decompositions for Large Sparse Text Data Using Clustering. Machine Learning 42 (2001), 143-175.
    • (2001) Machine Learning , vol.42 , pp. 143-175
    • Dhillon, I.S.1    Modha, D.S.2
  • 27
    • 0015640298 scopus 로고
    • CoâĂŘcitation in the scientific literature: A new measure of the relationship between two documents
    • July 1973
    • Henry Small. 1973. CoâĂŘcitation in the scientific literature: A new measure of the relationship between two documents. Journal of The American Society for Information Science 24, 4 (July 1973), 265-269.
    • (1973) Journal of the American Society for Information Science , vol.24 , Issue.4 , pp. 265-269
    • Small, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.