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An Implementation of an Enhanced Web Graph Search Engine based on User Profiles and Clickthrough Patterns

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IJCA Proceedings on National Conference on Recent Trends in Computer Science and Engineering
© 2015 by IJCA Journal
MEDHA 2015 - Number 2
Year of Publication: 2015
Authors:
Rushikesh M. Shete
Dhiraj D. Shirbhate

Rushikesh M Shete and Dhiraj D Shirbhate. Article: An Implementation of an Enhanced Web Graph Search Engine based on User Profiles and Clickthrough Patterns. IJCA Proceedings on National Conference on Recent Trends in Computer Science and Engineering MEDHA 2015(2):7-13, June 2015. Full text available. BibTeX

@article{key:article,
	author = {Rushikesh M. Shete and Dhiraj D. Shirbhate},
	title = {Article: An Implementation of an Enhanced Web Graph Search Engine based on User Profiles and Clickthrough Patterns},
	journal = {IJCA Proceedings on National Conference on Recent Trends in Computer Science and Engineering},
	year = {2015},
	volume = {MEDHA 2015},
	number = {2},
	pages = {7-13},
	month = {June},
	note = {Full text available}
}

Abstract

As the exponential explosion of various contents generated on the Web Recommendation techniques have become increasingly indispensable. Innumerable different kinds of recommendations are made on the Web every day, including movies, music, images, books recommendations, query suggestions, tags recommendations, etc. In this paper, aim is to providing a general framework on user profiles & Clickthrough patterns. Firstly proposing a method which propagates similarities between different nodes i. e. from user profiles and generates recommendations from Clickthrough data. The proposed framework can be utilized in many recommendation tasks on the World Wide Web, including query suggestions, tag recommendations, expert finding, image recommendations etc. The experimental analysis on large data sets will show the promising future of our work.

References

  • B. J. Jansen, A. Spink, J. Bateman, and T. Saracevic, "Real Life Information Retrieval: A Study of User Queries on the Web," ACM SIGIR Forum, vol. 32, no. 1, pp. 5-17, 1998.
  • D. Beeferman and A. Berger, "Agglomerative Clustering of a Search Engine Query Log," KDD '00: Proc. Sixth ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining, pp. 407-416, 2000.
  • Ch. Nagini, M. Shrinivasa Rao, R. V. Krishnaiah, "A General Framework for Recommendations on the Web", IJARCSSE Volume 3, Issue 5, May 2013.
  • D. Shen, M. Qin, W. Chen, Q. Yang, and Z. Chen, "Mining Web Query Hierarchies from Clickthrough Data," AAAI '07: Proc. 22nd Nat'l Conf. Artificial Intelligence, pp. 341-346, 2007.
  • E. Agichtein, E. Brill, and S. Dumais, "Improving Web Search Ranking by Incorporating User Behavior Information," SIGIR '07: Proc. 29th Ann. Int'l ACM SIGIR Conf. Research and Development in Information Retrieval, pp. 19-26, 2006.
  • Hao Ma, Irwin King, Michael Rung-Tsong Lyu, "Mining Web Graphs for Recommendations" IEEE Transactions on Knowledge Data Engineering, vol 24 June 2012.
  • H. Cao, D. Jiang, J. Pei, Q. He, Z. Liao, E. Chen, and H. Li, "Context-Aware Query Suggestion by Mining Click-Through and Session Data," KDD '08: Proc. 14th ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining, pp. 875-883, 2008.
  • J. -T. Sun, D. Shen, H. -J. Zeng, Q. Yang, Y. Lu, and Z. Chen, "Web- Page Summarization Using Clickthrough Data," SIGIR '05: Proc. 28th Ann. Int'l ACM SIGIR Conf. Research and Development in Information Retrieval, pp. 194-201, 2005.
  • R. Baeza-Yates, C. Hurtado, and M. Mendoza. Query Recommendation Using Query Logs in Search Engines, volume 3268/2004 of Lecture Notes in Computer Science, pages 588–596. Springer Berlin / Heidelberg, November 2004.
  • R. Jones, B. Rey, O. Madani, and W. Greiner. "Generating query substitutions". In Proc. of WWW, pages 387–396, Edinburgh, Scotland, 2006.
  • Raymond Kosala, Hendrik Blockeel, "Web Mining Research: A Survey", ACM SIKDD Explorations, Volume 2, Issue 1, July 2000.
  • Q. Mei, D. Zhou, and K. Church. Query suggestion using hitting time. In CIKM '08: Proceeding of the 17th ACMconference on Information and knowledge management, pages 469–478, 2008.
  • Rushikesh M. Shete, Prof. V. S. Gulhane, "An Enhanced Web Graph Search Engine Based on User Profiles and Clickthrough Patterns", IJERT, ISSN: 2278-0181, Vol. 2 Issue 12, December – 2013
  • X. Wang and C. Zhai. "Learn from web search logs to organize search results". In Proc. of SIGIR, pages 87–94, Amsterdam, The Netherlands, 2007.