Real life, real users, and real needs: a study and analysis of user queries on the web
Information Processing and Management: an International Journal
ACM SIGIR Forum
Query type classification for web document retrieval
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Understanding user goals in web search
Proceedings of the 13th international conference on World Wide Web
Journal of the American Society for Information Science and Technology
Multitasking during web search sessions
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
InfoScale '06 Proceedings of the 1st international conference on Scalable information systems
Proceedings of the 6th ACM SIGCOMM conference on Internet measurement
Investigating behavioral variability in web search
Proceedings of the 16th international conference on World Wide Web
Determining the informational, navigational, and transactional intent of Web queries
Information Processing and Management: an International Journal
Characterizing the influence of domain expertise on web search behavior
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Understanding the impact of the access technology: the case of web search services
TMA'11 Proceedings of the Third international conference on Traffic monitoring and analysis
Lessons from the journey: a query log analysis of within-session learning
Proceedings of the 7th ACM international conference on Web search and data mining
Hi-index | 0.00 |
In this paper, we experimentally study how web searchers select the keywords to describe their information needs and specifically we investigate whether query keyword selections are influenced by the results the users reviewed for a previous search. For our study, we determine two types of searches: (i) those in which users define their queries without any external influence and which we call tightly-focused and (ii) those in which users define their queries under some external influence and which we call loosely-focused. Based on the analysis of the user querying trends and web visits on the query results, we propose a model that tries to capture the results' influence on the specification of the subsequent user queries. The application of our model on a search trace of 19,250 queries issued to Google by 18 users over a period of two months reveals that in overall search results influence the specification of 12.79% of the web queries.