A multi-attributed hybrid re-ranking technique for diversified recommendations

Abstract

Recommender systems which are simulations of web personalization are now-a-days widely integrated in various domains for improving quality of fetched information. The most critical job for any recommender system is to provide more and more utilizable items to its users. Today lots of knowledge discovery techniques are invented to dig into huge chunks of… (More)

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Cite this paper

@article{Patil2014AMH, title={A multi-attributed hybrid re-ranking technique for diversified recommendations}, author={Chetan B. Patil and Rajnikant B. Wagh}, journal={2014 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)}, year={2014}, pages={1-6} }