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Volumn 134, Issue PART 1, 2011, Pages 692-697

Research of Optimized Agricultural Information Collaborative Filtering Recommendation Systems

Author keywords

Collaborative filtering; rating matrix; recommendations system; user similarity

Indexed keywords

AGRICULTURAL INFORMATIONS; COLLABORATIVE FILTERING RECOMMENDATIONS; COMPUTER TECHNOLOGY; INFORMATION EXPLOSION; INFORMATION OVERLOADS; RECOMMENDATIONS SYSTEM; USER EVALUATIONS; USER SIMILARITY;

EID: 84880731607     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-18129-0_104     Document Type: Conference Paper
Times cited : (2)

References (11)
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    • Overview of improvement of Collaborative Filtering Recommendations System based on e-commerce applications
    • Wei, T., Peng, Y.: Overview of improvement of Collaborative Filtering Recommendations System based on e-commerce applications. Computer Engineering and Science 30(10), 61263 (2008)
    • (2008) Computer Engineering and Science , vol.30 , Issue.10 , pp. 61263
    • Wei, T.1    Peng, Y.2
  • 4
    • 84880724342 scopus 로고    scopus 로고
    • The Hybrid Algorithm in Automated recommendation about education resource
    • Wu, Y., Zhen, H.: The Hybrid Algorithm in Automated recommendation about education resource. Computer Application and Software 25(12), 202-203 (2008)
    • (2008) Computer Application and Software , vol.25 , Issue.12 , pp. 202-203
    • Wu, Y.1    Zhen, H.2
  • 7
    • 0033185714 scopus 로고    scopus 로고
    • Multi2objective genetic algorithms: Problem difficulties and construction of test problems
    • Deb, K.: Multi2objective genetic algorithms: problem difficulties and construction of test problems. Evolutionary Computation 7(3), 2052230 (1999)
    • (1999) Evolutionary Computation , vol.7 , Issue.3 , pp. 2052230
    • Deb, K.1
  • 11
    • 84880740125 scopus 로고    scopus 로고
    • The algorithm about Collaborative Filtering Recommendations System based on content clustering
    • Deng, A., Zuo, Z., Zhu, Y.: The algorithm about Collaborative Filtering Recommendations System based on content clustering. Mini-Micro Systems 25(9), 166521670 (2004)
    • (2004) Mini-Micro Systems , vol.25 , Issue.9 , pp. 166521670
    • Deng, A.1    Zuo, Z.2    Zhu, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.