International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 114 | Views: 286

Research Paper | Computer Science & Engineering | India | Volume 5 Issue 7, July 2016 | Popularity: 6.1 / 10


     

Filtering Recommendation Using Typicality-Based Collaborative Filtering Technology

Harshali U. Chaudhary, Priti Subramanium


Abstract: In this paper, author has given investigation on the cooperative filtering recommendation from a brand new perspective and presents a completely unique typicality-based cooperative filtering recommendation technique named Tyco. In Tyco, a user is painted by a user normalcy vector which will indicate the users preference on every reasonably thing. a definite feature of Tyco is that it selects neighbors of users by measurement users similarity supported their normalcy degrees rather than co-rated things by users. Such a feature will overcome many limitations of ancient cooperative filtering ways. Tyco is showing higher improvement in performance as compared to previous ways.


Keywords: collaborative filtering, filtering recommendation, typically based collaborative filtering, Data mining


Edition: Volume 5 Issue 7, July 2016


Pages: 540 - 543



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Harshali U. Chaudhary, Priti Subramanium, "Filtering Recommendation Using Typicality-Based Collaborative Filtering Technology", International Journal of Science and Research (IJSR), Volume 5 Issue 7, July 2016, pp. 540-543, URL: https://www.ijsr.net/getabstract.php?paperid=4071605, DOI: https://www.doi.org/10.21275/4071605



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