Gupta A

Singh K.

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

Content based recommender systems have the drawback of recommending only similar items to a user's particular taste, irrespective of the item's popularity. Collaborative Filtering based systems face the problem of data sparsity and expensive parameter training. In this paper, a combination of content-based, model and memory-based collaborative filtering techniques is used in order to remove these drawbacks and to present predicted ratings more accurately. The training of the data is done using feedforward backpropagation neural network and the system performance is analyzed under various circumstances like number of users, their ratings and system model. © 2014 IEEE.

2014 IEEE International Advance Computing Conference (IACC)

A generic hybrid recommender system based on neural networks

Proceedings of the 2011 annual conference on Human factors in computing systems - CHI '11

I'm the mayor of my house

2010 IEEE International Conference on Data Mining

Recommending Social Events from Mobile Phone Location Data

Expert Systems with Applications

Building and evaluating a location-based service recommendation system with a preference adjustment mechanism

2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology

REJA: A Georeferenced Hybrid Recommender System for Restaurants

A location-aware recommender system for mobile shopping environments

Location based personalized restaurant recommendation system for mobile environments

Journal	Data powered by Typeset2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI)
Publisher	Data powered by TypesetIEEE
Open Access	0