IMSS-E-Reference-Cited by-同舟云学术

IMSS-E

Published:2016 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on Advances in Information Communication Technology & Computing - AICTC '16
language:
Short-container-title:

Author:

Malhotra Dheeraj¹,Rishi O. P.¹

Affiliation:

1. University of Kota, Kota, Rajasthan, India

Publisher

ACM Press

Reference10 articles.

1. Verma, N., Malhotra, D., Malhotra, M. and Singh, J. 2015. E-commerce website ranking using semantic web mining and neural computing. In Proceedings of International Conference on Advanced Computing Technologies and Applications (Mumbai, India, March 26-27, 2015). Procedia Computer Science, Science Direct. Elsevier, Vol. 45, 42--51. DOI = 10.1016/j.procs.2015.03.080

2. Sugiyama, K. Hatano, K. and Yoshikawa, M. 2004. Adaptive Web Search Based on User Profile Constructed without any Effort from Users. In Proceedings of the 13th international conference on World Wide Web (New York, USA, May 17-22, 2004), ACM, 675--684. DOI= 10.1145/988672.988764

3. Kuppusamy, K.S. and Aghila, G. 2014. CaSePer: An Efficient Model for Personalized Web Page Change Detection Based on Segmentation. Journal of King Saud University, Vol.26 (January 2014), Elsevier, 19--27. DOI = 10.1016/j.jksuci.2013.02.001

4. Wasid, M. and Kant, V. 2015. A Particle Swarm Approach to Collaborative Filtering based Recommender Systems through Fuzzy Features. In Proceedings of Eleventh International Multi-Conference on Information Processing (Bangalore, India, August 21-23, 2015).Science Direct. Elsevier, Vol.54, 440--448.DOI = 10.1016/j.procs.2015.06.051

5. Adamopoulos, P. 2014. On Discovering Non Obvious Recommendations: Using Unexpectedness and Neighborhood Selection Methods in Collaborative Filtering Systems. In Proceedings of the 7th ACM international conference on Web search and data mining (New York, USA, February 24-28, 2014), ACM, 655--665. DOI = 10.1145/2556195.2556204

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