Open Access
ITM Web Conf.
Volume 17, 2018
4th Annual International Conference on Wireless Communication and Sensor Network (WCSN 2017)
Article Number 03020
Number of page(s) 4
Section Session 3: Smart City in Resource Management, Ecological and Environmental Data Processing
Published online 02 February 2018
  1. E. Rich, User Modeling via stereotypes, Cognitive Science. 4(3) 329-354. [Google Scholar]
  2. P. Resnick, N. Iacovou, et al, Grouplens: An open architecture for collaborative filtering of netnews, in Proc 1994 Computer Supported Cooperative Work Conf, Chapel Hill, 1994, pp. 175-186. [Google Scholar]
  3. W. Hill, L. Stead, et al, Recommending and evaluating choices in a virtual community of use, in Proc. Conf Human Factors in Computing System, Denver, 1995, pp. 194-201. [Google Scholar]
  4. U. Mochio, Webu shinkaron : hontō no daihenka wa korekara hajimaru, Tokyo, 2006. [Google Scholar]
  5. D. Goldberg, D. Nichols, et al, Using collaborative filtering to weave an information tapestry, Comm ACM, 35(12) 61-70. [CrossRef] [Google Scholar]
  6. J. A. Konstan, B. N. Miller, et al, Gouplens: Applying collaborative filtering to usenet news, Comm ACM, 40(3) 77-87. [CrossRef] [Google Scholar]
  7. U. Shardanand, P. Maes, Social information filtering: Algorithms for automating ‘Word of Mouth’, in Proc Conf Human Factors in Computing Systems, Denver, 1995, pp.201-217. [Google Scholar]
  8. G. Linden, B. Smith, York J. recommendations: Item-to-item collaborative filtering, IEEE Internet Computing, 7(1) 76-80. [CrossRef] [MathSciNet] [Google Scholar]
  9. K. Goldberg, T. Roeder, et al, Eigentaste: A constant time collaborative filtering algorithm, Information Retrieval J, 4(2) 133-151. [CrossRef] [Google Scholar]
  10. L. Terveen, W. Hill, et al, PHOAKS: A system for sharing recommendations, Comm ACM, 40(3) 59-62. [CrossRef] [Google Scholar]

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