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User Recommendation System using Markov Model in Social Networks

by Yachana Bhawsar, G. S. Thakur, R. S. Thakur
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 86 - Number 9
Year of Publication: 2014
Authors: Yachana Bhawsar, G. S. Thakur, R. S. Thakur
10.5120/15015-3299

Yachana Bhawsar, G. S. Thakur, R. S. Thakur . User Recommendation System using Markov Model in Social Networks. International Journal of Computer Applications. 86, 9 ( January 2014), 33-39. DOI=10.5120/15015-3299

@article{ 10.5120/15015-3299,
author = { Yachana Bhawsar, G. S. Thakur, R. S. Thakur },
title = { User Recommendation System using Markov Model in Social Networks },
journal = { International Journal of Computer Applications },
issue_date = { January 2014 },
volume = { 86 },
number = { 9 },
month = { January },
year = { 2014 },
issn = { 0975-8887 },
pages = { 33-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume86/number9/15015-3299/ },
doi = { 10.5120/15015-3299 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:03:47.787832+05:30
%A Yachana Bhawsar
%A G. S. Thakur
%A R. S. Thakur
%T User Recommendation System using Markov Model in Social Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 86
%N 9
%P 33-39
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Today's world is a social world. Recommending resources in social networking is very common thing. There are various methods available to recommend friend, music, video, items in social networks. The users look at the web as a place where they can find an individual or group of people with the same or similar interests, or even find new friends. And many times the recommendation system used in social networks suggests users about these resources. We want to apply Markov models and their variations for addressing this problem. It is generally found that higher order Markov models display high predictive accuracy.

References
  1. Katz L, "A new status index derived from sociometric analysis," Psychometrika, 1953.
  2. Lada A. Adamic and Eytan Adar," Friends and neighbors on the web", Social Networks, 25(3):211-230, July 2003.
  3. Zhou T, Lu L, Zhang Y, "Predicting missing links via local information", The European, 2009.
  4. Clauset A, Newman M, Moore C, "Finding community structure in very large networks", Physical Review E, 2004.
  5. Girvan M, Newman M, "Community structure in social and biological networks", Proceedings of the National Academy of Sciences of the United States of America. , 2002.
  6. T. Joachims, D. Freitag, and T. Mitchell, "WebWatcher: A tour guide for the World Wide Web," in Proc. IJCAI, 1997, pp. 531-547.
  7. O. Nasraoui and R. Krishnapuram, " One step evolutionary mining of context sensitive associations and Web navigation patterns," in Proc. SIAM Int. Conf. Data Mining, Arlinton, VA, Apr. 2002, pp, 531-547.
  8. M. Awad and L. Khan, "Web navigation prediction using multiple evidence combination and domain knowledge," IEEE Trans. Syst. Man. Cybern. A. Syst. , Humans, vol. 37, no 6, pp, 1054-1062, Nov. 2007.
  9. O. Nasraoui and C. Petenes, " Combining Web usage mining and fuzzy inference for Website personalization," in Proc. WebKDD, 2003, pp, 37-46.
  10. Prem Melville and Vikas Sindhwani, Recommender Systems, Encyclopedia of Machine Learning, 2010.
  11. Jump up^ R. J. Mooney and L. Roy (1999). "Content-based book recommendation using learning for text categorization". In Workshop Recom. Sys. : Algo. and Evaluation.
  12. Adomavicius, G. ; Tuzhilin, A. (June 2005). "Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions". IEEE Transactions on Knowledge and Data Engineering 17 (6): 734–749. doi:10. 1109/TKDE. 2005. 99.
  13. J. Chen et al. , "Make new friends, but keep the old—Recommending people on social networking sites," in Proc. ACM CHI, Boston, MA, 2009.
Index Terms

Computer Science
Information Sciences

Keywords

Activity sessions Predicting links.

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