References

Akinribido, C.T., B.S. Afolabi, B.I. Akhigbe and I.J. Udo, 2011. A fuzzy-ontology based information retrieval system for relevant feedback. Int. J. Comput. Sci., 8: 382-389.
Direct Link  |  

Barajas, J. and X. Li, 2005. Collaborative filtering on data streams. Proceedings of 9th European Conference on Principles and Practice of Knowledge Discovery on Databases, October 3-7, 2005, Springer, Porto, Portugal, pp: 429-436.

Deshpande, M. and G. Karypis, 2004. Item-based top-n recommendation algorithms. ACM Trans. Inform. Syst., 22: 143-177.
Direct Link  |  

Ekpenyong, M. and I. Umoren, 2012. QoS-aware SINR-based call blocking evaluation in cellular networks with 3G interface. Int. J. Comput. Sci. Issues (IJCSI.), 9: 441-446.
Direct Link  |  

Faloutsos, C., 1996. Searching Multimedia Databases by Content. Kluwer Academic Publishers, New York, USA.,.

Frakes, W.B. and R. Baeza-Yates, 1992. Information Retrieval Data Structures and Algorithms. Prentice-Hall Inc., Englewood Cliffs, New Jercy,.

Goldberg, K., T. Roeder, D. Gupta and C. Perkins, 2001. Eigentaste: A constant time collaborative filtering algorithm. Inform. Retrieval J., 4: 133-151.
Direct Link  |  

Gudivada, V.N., V.V. Raghavan, W.I. Grosky and R. Kasanagottu, 1997. Information retrieval on the world wide web. IEEE Internet Comput., 1: 58-68.
CrossRef  |  Direct Link  |  

Herlocker, J.L., J.A. Konstan, A. Borchers and J. Riedl, 1999. An algorithmic framework for performing collaborative filtering. Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, August 15-19, 1999, Berkeley, California, pp: 230-237.

Kowalski, G.J. and M.T. Maybury, 2002. Information Storage and Retrieval Systems: Theory and Implementation. 2nd Edn., Kluwer Academic Publishers, New York, USA.,.

Polat, H. and W. Du, 2005. Privacy-preserving collaborative filtering on vertically partitioned data. Proceedings of the European Conference on Principles of Data Mining and Knowledge Discovery, October 3-7., 2005, Springer, Berlin, Germany, pp: 651-658.

Radecki, T., 1976. Application of fuzzy set theory to the description of information retrieval process. Communications of the Main Library and Scientific Information Centre of the Technical University of Wroclaw, Poland.

Rajaraman, A., J. Leskovec and J.D. Ullman, 2012. Mining of Massive Datasets. Stanford University Press, California, USA.,.

Resnick, P., N. Lakovou, M. Sushak, P. Bergstrom and J. Riedl, 1994. Group lens: An open architecture for collaborative filtering of Netnews. Proceedings of the 1994 ACM Conference on Computer Supported Cooperative Work, Oct. 22-26, Chapel Hill, North Carolina, United States, ACM Press, pp: 175-186.

Salton, G., 1989. Automatic Text Processing: The Transformation, Analysis and Retrieval of Information by Computer. Addison-Wesley Publishing Co., MA.

Sarwar, B., G. Karypis, J. Konstan and J. Reidl, 2001. Item-based collaborative filtering recommendation algorithms. Proceedings of the 10th International Conference on World Wide Web, May 1-5, 2001, Hong Kong, China, pp: 285-295.

Supachai, T., 2010. System for Storage and Retrieval of Information by Computer. Pithak Printing Press, Bangkok, Thailand,.

Umoren, I., K. Udonyah and E. Isong, 2019. A computational intelligence framework for length of stay prediction in emergency healthcare services department. Proceedings of the 2019 14th International Conference on Computer Science & Education (ICCSE), August 19-21, 2019, IEEE, Toronto, Canada, pp: 539-549.

Xue, G.R., C. Lin, Q. Yang, W. Xi and H.J. Zeng et al., 2005. Scalable collaborative filtering using cluster-based smoothing. Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, August 15-19, 2005, ACM, Salvador, Brazil, ISBN:1-59593-034-5, pp: 114-121.