The Social Sciences

Year: 2016
Volume: 11
Issue: 17
Page No. 4320 - 4322

User Profile Enrichment with Correlative Item Contents and User Context

Authors : Einasfadil Abdullah, Huda NajiNawaf and Ghaidaa A. Bilal

References

Bobadilla, J., F. Ortega, A. Hernando and A. Gutierrez, 2013. Recommender systems survey. Knowl. Based Syst., 46: 109-132.
CrossRef  |  Direct Link  |  

Kosir, A., A. Odic, M. Kunaver, M. Tkalcic and J.F. Tasic, 2011. Database for contextual personalization. Elektrotehniski Vestnik, 78: 270-274.
Direct Link  |  

Odic, A., M. Tkalcic, J.F. Tasic and A. Kosir, 2013. Predicting and detecting the relevant contextual information in a movie-recommender system. Interacting Comput., 25: 74-90.
Direct Link  |  

Rajaraman, A. and J.D. Ullman, 2011. Mining of Massive Datasets. Cambridge University Press, UK., ISBN-13: 978-1107015357, Pages: 326.

Resnick, P. and H.R. Varian, 1997. Recommender systems. Commun. ACM., 40: 56-58.
CrossRef  |  Direct Link  |  

Said, A., Luca, E.W.D. and S. Albayrak, 2011. Inferring contextual user profiles-improving recommender performance. Proceedings of the 3rd RecSys Workshop on Context-Aware Recommender Systems, October 23, 2011, CARS Publisher,Chicago, Illinois, pp: 1-5.

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved