this study aimed to evaluate persian search engines based on the criteria obtained from alexa databank using correspondence analysis. through searching the web, 23 search engines were found, which due to their cease and no coverage by alexa, this number was reduced to 16. data analysis revealed that ghatreh search engine occupied a high rank in most of attributes like traffic rank, time spent o...

in this research work, the impact of user’s behavior on search engine results is discussed. it aims to improvement of search results which leads to the higher satisfaction of users. in other words, we are trying to present a personalized search engine for each user, based on his/her activity and search history. we base our hypothesis that the search history of each user in a specific time frame...

A web recommender system assists a user to manage the vast amount of search results suggested by a search engine when surfing the Web with the help of recommender system agents. In this case the recommender system will reduce the effort a user has to spend in searching and navigating to important web pages or web documents and simultaneously increases the user ability to find more relevant docu...

A significant fraction of search queries relate to topics that are time dependent, where the ideal result changes from one time-span to the next. Despite their prevalance and importance, such queries have been largely ignored. In this paper1, we focus on a subset of temporal queries known as implicitly year qualified queries. Such queries, which include “olympics” and “miss universe” implicitly...

Current web search engines return query-biased snippets for each document they list in a result set. For efficiency, search engines operating on large collections need to cache snippets for common queries, and to cache documents to allow fast generation of snippets for uncached queries. To improve the hit rate on a document cache during snippet generation, we propose and evaluate several scheme...

Recent advances in click modeling have established it as an attractive approach to interpret search click data. These advances characterize users’ search behavior either in advertisement blocks, or within an organic search block through probabilistic models. Yet, when searching for information on a search result page, one is often interacting with the search engine via an entire page instead of...

This paper explores how information visualization can provide insights into the effectiveness of different query formulations or the same query submitted to multiple search engines. Different queries or search methods are deemed more effective if the fusion of their results leads to a new result set that contains an increased number of relevant documents. The MetaCrystal toolset can be used to ...

representing 100% of site traffic during these periods and 2,029,734 queries overall. The results show that the highest percentage of queries contained two terms. The highest percentage of search sessions contained one query and was less than 1 minute in duration. Almost half of user interactions with clusters consisted of displaying a cluster's result set, and a small percentage of interaction...

Global Search1 is a web agent which integrates and enhances many well known search techniques in order to improve the quality of information gathered from usual web search engines. It features intelligent merging of relevant documents from different search engines, anticipated adaptive exploration and evaluation of links from the current result set, automated derivation of refined queries based...