Personalized Web Search in Web Mining
Sheetal Vishwas Kashid and Vishwakarma Pinki. Article: Personalized Web Search in Web Mining. IJAIS Proceedings on International Conference and Workshop on Communication, Computing and Virtualization ICWCCV 2015(1):35-40, September 2015. BibTeX
@article{key:article, author = "Sheetal Vishwas Kashid and Vishwakarma Pinki", title = "Article: Personalized Web Search in Web Mining", journal = "IJAIS Proceedings on International Conference and Workshop on Communication, Computing and Virtualization", year = 2015, volume = "ICWCCV 2015", number = 1, pages = "35-40", month = "September", note = "Published by Foundation of Computer Science, New York, USA" }
Abstract
Web is a collection of inter-related files on one or more Web servers. Web mining is the application of data mining techniques to extract knowledge from Web data. Web mining involves the process to apply data mining techniques to extract and uncover knowledge from web documents and services. Web mining has been explored to a vast level and different techniques have been defined for variety of applications like Web Search, Web Classification and Personalization etc. Personalized search is a way to improve the accuracy of web search. However personalized search requires collection and aggregation of user information, which often raise serious problems of breach of confidential data for many users. So, personalized web search in web mining is one of the techniques to improve privacy concerns of the user's data.
Reference
- Chirita P. A. , Firan C. , and Nejdl W. Summarizing local context to personalize global web search. In Proc. Int. Conf. on Information and Knowledge Management, 2006.
- Chirita P. A. , Nejdl W. , Paiu R. , and Kohlschu¨tter C. Using ODP metadata to personalize search. In Proc. 31st Annual Int. ACM SIGIR Conf. on Research and Development in Information Retrieval, 2005.
- Dou Z. , Song R. , and Wen J. A large-scale evaluation and analysis of personalized search strategies. In Proc. 33rd Annual Int. ACM SIGIR Conf. on Research and Development in Information Retrieval, 2007.
- Liu F. , Yu C. , and MengW. Personalized web search by mapping user queries to categories. In Proc. Int. Conf. on Information and Knowledge Management, 2002.
- Page L. , Brin S. , Motwani R. , and Winograd T. The pagerank citation ranking: bringing order to the web. Technical report, Computer Science Department, Stanford University, 1998.
- Pretschner A. and Gauch S. Ontology based personalized search. In Proc. 11th IEEE Int. Conf. on Tools with Artificial Intelligence, 1999.
- Qiu F. and Cho J. Automatic identification of user interest for personalized search. In Proc. 15th Int. World Wide Web Conference, 2006.
- Shen X. , Tan B. , and Zhai C. Implicit user modeling for personalized search. In Proc. Int. Conf. on Information and Knowledge Management, 2005.
- Shen X. , Tan B. , and Zhai C. Privacy protection in personalized search. SIGIR Forum, 41(1):4–17, 2007.
- Sugiyama K. , Hatano K. , and Yoshikawa M. Adaptive web search based on user profile constructed without any effort from users. In Proc. 12th Int. World Wide Web Conference, 2004.
- Teevan J. , Dumais S. T. , and Horvitz E. Personalizing search via automated analysis of interests and activities. In Proc. 31st Annual Int. ACM SIGIR Conf. on Research and Development in Information Retrieval.
- Y. Raju et al, / (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 2 (6), 2011.
- http://www. dmoz. org/.
- http://en. wikipedia. org/wiki/Web_mining
Keywords
Personalized web search, web mining, user profile, information retrieval.