On the reuse of past optimal queries
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
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
Adaptive web search based on user profile constructed without any effort from users
Proceedings of the 13th international conference on World Wide Web
Automatic identification of user goals in Web search
WWW '05 Proceedings of the 14th international conference on World Wide Web
Accurately interpreting clickthrough data as implicit feedback
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Personalizing search via automated analysis of interests and activities
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Personalized Search Based on User Search Histories
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
Implicit user modeling for personalized search
Proceedings of the 14th ACM international conference on Information and knowledge management
A large-scale analysis of query logs for assessing personalization opportunities
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Summarizing local context to personalize global web search
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Coupling feature selection and machine learning methods for navigational query identification
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
A large-scale evaluation and analysis of personalized search strategies
Proceedings of the 16th international conference on World Wide Web
Information re-retrieval: repeat queries in Yahoo's logs
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Determining the informational, navigational, and transactional intent of Web queries
Information Processing and Management: an International Journal
Large scale analysis of web revisitation patterns
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
To personalize or not to personalize: modeling queries with variation in user intent
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Learning about the world through long-term query logs
ACM Transactions on the Web (TWEB)
Utilization of navigational queries for result presentation and caching in search engines
Proceedings of the 17th ACM conference on Information and knowledge management
Quicklink selection for navigational query results
Proceedings of the 18th international conference on World wide web
Classifying and Characterizing Query Intent
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Estimating Ad Clickthrough Rate through Query Intent Analysis
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Large scale query log analysis of re-finding
Proceedings of the third ACM international conference on Web search and data mining
Exploring features for the automatic identification of user goals in web search
Information Processing and Management: an International Journal
Examining repetition in user search behavior
ECIR'07 Proceedings of the 29th European conference on IR research
The intention behind web queries
SPIRE'06 Proceedings of the 13th international conference on String Processing and Information Retrieval
Large-scale analysis of individual and task differences in search result page examination strategies
Proceedings of the fifth ACM international conference on Web search and data mining
Direct answers for search queries in the long tail
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Modeling the impact of short- and long-term behavior on search personalization
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Personalized ranking model adaptation for web search
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Fighting search engine amnesia: reranking repeated results
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Learning to personalize query auto-completion
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Enhancing personalized search by mining and modeling task behavior
Proceedings of the 22nd international conference on World Wide Web
From devices to people: attribution of search activity in multi-user settings
Proceedings of the 23rd international conference on World wide web
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This paper presents an algorithm that predicts with very high accuracy which Web search result a user will click for one sixth of all Web queries. Prediction is done via a straightforward form of personalization that takes advantage of the fact that people often use search engines to re-find previously viewed resources. In our approach, an individual's past navigational behavior is identified via query log analysis and used to forecast identical future navigational behavior by the same individual. We compare the potential value of personal navigation with general navigation identified using aggregate user behavior. Although consistent navigational behavior across users can be useful for identifying a subset of navigational queries, different people often use the same queries to navigate to different resources. This is true even for queries comprised of unambiguous company names or URLs and typically thought of as navigational. We build an understanding of what personal navigation looks like, and identify ways to improve its coverage and accuracy by taking advantage of people's consistency over time and across groups of individuals.