A Survey on Query Recommendation Techniques and Evaluation of Snippet based Query Recommendation
Megha R Sisode and Ujwala M Patil. Article: A Survey on Query Recommendation Techniques and Evaluation of Snippet based Query Recommendation. IJCA Proceedings on National Conference on Emerging Trends in Information Technology NCETIT(1):1-5, December 2014. Full text available. BibTeX
@article{key:article,
author = {Megha R. Sisode and Ujwala M. Patil},
title = {Article: A Survey on Query Recommendation Techniques and Evaluation of Snippet based Query Recommendation},
journal = {IJCA Proceedings on National Conference on Emerging Trends in Information Technology},
year = {2014},
volume = {NCETIT},
number = {1},
pages = {1-5},
month = {December},
note = {Full text available}
}
Abstract
Recently web has been widely used for getting different kinds of information. Web mining is considered to store the information in a specific format known as weblog. This valuable mined information can be used in many applications such as query log analysis, query recommendation, query reformulation and many more for improved performance of search engine. Search engine provide the platform for users to describe their information need more clearly by using query recommendation. Previously there has been lot of work done for retrieving more relevant data to users in order to meet their information need thus improving performance of search engines. This paper reviews and compares different available methods in query log processing for information retrieval. Moreover the approach based on clicked snippets is better to understand users interaction process with search engines to find the appropriate information need.
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