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Volumn 8851, Issue , 2014, Pages 290-299

On the feasibility of predicting news popularity at cold start

Author keywords

Cold start prediction; News popularity prediction

Indexed keywords

LEARNING SYSTEMS;

EID: 84914145733     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-13734-6_21     Document Type: Conference Paper
Times cited : (25)

References (9)
  • 3
  • 5
    • 84867365565 scopus 로고    scopus 로고
    • Finding a needle in a haystack of reviews: Cold start context-based hotel recommender system
    • Levi, A., Mokryn, O., Diot, C., Taft, N.: Finding a needle in a haystack of reviews: cold start context-based hotel recommender system. In: Proc. 6th ACM Conf. Recommender Systems, pp. 115-122 (2012)
    • (2012) Proc. 6th ACM Conf. Recommender Systems , pp. 115-122
    • Levi, A.1    Mokryn, O.2    Diot, C.3    Taft, N.4
  • 6
    • 82555195657 scopus 로고    scopus 로고
    • Wisdom of the better few: Cold start recommendation via representative based rating elicitation
    • Liu, N.N., Meng, X., Liu, C., Yang, Q.: Wisdom of the better few: cold start recommendation via representative based rating elicitation. In: Proc. 5th ACM Conf. Recommender Systems, pp. 37-44 (2011)
    • (2011) Proc. 5th ACM Conf. Recommender Systems , pp. 37-44
    • Liu, N.N.1    Meng, X.2    Liu, C.3    Yang, Q.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.