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Volumn 46, Issue 6, 2004, Pages 439-445

User preference mining techniques for personalized applications

Author keywords

E Commerce; Personalization; Personalized Marketing; Preference Mining; User Centered Customer Advice

Indexed keywords


EID: 11144274524     PISSN: 09376429     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF03250961     Document Type: Review
Times cited : (1)

References (24)
  • 9
    • 9444255844 scopus 로고    scopus 로고
    • Preference mining: A novel approach on mining user preferences for personalized applications
    • [HoEsKi03], Dubrovnik, Croatia
    • [HoEsKi03] Holland, Stefan; Ester, Martin; Kieß ling, Werner: Preference Mining: A Novel Approach on Mining User Preferences for Personalized Applications. In: Knowledge Discovery in Databases (PKDD 2003), Dubrovnik, Croatia 2003, pp. 204-216.
    • (2003) Knowledge Discovery in Databases (PKDD 2003) , pp. 204-216
    • Holland, S.1    Ester, M.2    Kießling, W.3
  • 10
    • 33745169438 scopus 로고    scopus 로고
    • Situated preferences and preference repositories for personalized database applications
    • [HoKi04], Shanghai, China
    • [HoKi04] Holland, Stefan; Kießling, Werner: Situated Preferences and Preference Repositories for Personalized Database Applications. In: 23rd International Conference on Conceptual Modeling (ER2004), Shanghai, China 2004.
    • (2004) 23rd International Conference on Conceptual Modeling (ER2004)
    • Holland, S.1    Kießling, W.2
  • 18
    • 84867317643 scopus 로고    scopus 로고
    • User preference mining through collaborative filtering and content based filtering in recommender system
    • [KoLe02], Aix-en-Provence, France
    • [KoLe02] Ko, Su-Jeong; Lee, Jung-Hyun: User Preference Mining through Collaborative Filtering and Content Based Filtering in Recommender System. In: Proceedings Third International Conference E-Commerce and Web Technologies (EC-Web 2002), Aix-en-Provence, France 2002, pp. 244-253.
    • (2002) Proceedings Third International Conference E-commerce and Web Technologies (EC-Web 2002) , pp. 244-253
    • Ko, S.-J.1    Lee, J.-H.2
  • 19
    • 0036103365 scopus 로고    scopus 로고
    • Efficient adaptive-support association rule mining for recommender systems
    • [LiAlRu02]
    • [LiAlRu02] Lin, Weiyang; Alvarez, Sergio A.; Ruiz, Carolina: Efficient Adaptive-Support Association Rule Mining for Recommender Sys tems. In: Data Mining and Knowledge Discovery, 6 (2002) 1, pp: 83-105.
    • (2002) Data Mining and Knowledge Discovery , vol.6 , Issue.1 , pp. 83-105
    • Lin, W.1    Alvarez, S.A.2    Ruiz, C.3
  • 24
    • 0004204162 scopus 로고    scopus 로고
    • [WiFr99]. Morgan Kaufmann, San Francisco
    • [WiFr99] Witten, Ian H.; Frank, Eibe: Data Mining. Morgan Kaufmann, San Francisco 1999.
    • (1999) Data Mining
    • Witten, I.H.1    Frank, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.