ACM SIGIR Forum
The effect of task domain on search
CASCON '03 Proceedings of the 2003 conference of the Centre for Advanced Studies on Collaborative research
A diary study of task switching and interruptions
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Understanding user goals in web search
Proceedings of the 13th international conference on World Wide Web
Evaluating implicit measures to improve web search
ACM Transactions on Information Systems (TOIS)
Automatic identification of user goals in Web search
WWW '05 Proceedings of the 14th international conference on World Wide Web
Information search and re-access strategies of experienced web users
WWW '05 Proceedings of the 14th international conference on World Wide Web
Query chains: learning to rank from implicit feedback
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Improving web search ranking by incorporating user behavior information
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Mining long-term search history to improve search accuracy
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
A field study characterizing Web-based information-seeking tasks
Journal of the American Society for Information Science and Technology
Identifying User Goals from Web Search Results
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
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
Predictive user click models based on click-through history
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
A comparison of statistical significance tests for information retrieval evaluation
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
SearchBar: a search-centric web history for task resumption and information re-finding
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Exploring multi-session web tasks
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Context-aware query suggestion by mining click-through and session data
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
A faceted approach to conceptualizing tasks in information seeking
Information Processing and Management: an International Journal
Understanding the relationship between searchers' queries and information goals
Proceedings of the 17th ACM conference on Information and knowledge management
Beyond the session timeout: automatic hierarchical segmentation of search topics in query logs
Proceedings of the 17th ACM conference on Information and knowledge management
Characterizing the influence of domain expertise on web search behavior
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Predicting user interests from contextual information
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
An analysis framework for search sequences
Proceedings of the 18th ACM conference on Information and knowledge management
Beyond DCG: user behavior as a predictor of a successful search
Proceedings of the third ACM international conference on Web search and data mining
Classification-enhanced ranking
Proceedings of the 19th international conference on World wide web
Do you want to take notes?: identifying research missions in Yahoo! search pad
Proceedings of the 19th international conference on World wide web
Inferring query intent from reformulations and clicks
Proceedings of the 19th international conference on World wide web
Personalizing information retrieval for multi-session tasks: the roles of task stage and task type
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Context-aware ranking in web search
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Individual differences in gaze patterns for web search
Proceedings of the third symposium on Information interaction in context
Modeling and analysis of cross-session search tasks
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Proceedings of the 20th ACM international conference on Information and knowledge management
Behavior-driven clustering of queries into topics
Proceedings of the 20th ACM international conference on Information and knowledge management
Effects of search success on search engine re-use
Proceedings of the 20th ACM international conference on Information and knowledge management
Probabilistic models for personalizing web search
Proceedings of the fifth ACM international conference on Web search and data mining
Characterizing and supporting cross-device search tasks
Proceedings of the sixth ACM international conference on Web search and data mining
Toward whole-session relevance: exploring intrinsic diversity in web search
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Learning to extract cross-session search tasks
Proceedings of the 22nd international conference on World Wide Web
Strategy in action: analyzing online search behavior bymining search strategies
Proceedings of the 7th ACM international conference on Web search and data mining
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Many important search tasks require multiple search sessions to complete. Tasks such as travel planning, large purchases, or job searches can span hours, days, or even weeks. Inevitably, life interferes, requiring the searcher either to recover the "state" of the search manually (most common), or plan for interruption in advance (unlikely). The goal of this work is to better understand, characterize, and automatically detect search tasks that will be continued in the near future. To this end, we analyze a query log from the Bing Web search engine to identify the types of intents, topics, and search behavior patterns associated with long-running tasks that are likely to be continued. Using our insights, we develop an effective prediction algorithm that significantly outperforms both the previous state-of-the-art method, and even the ability of human judges, to predict future task continuation. Potential applications of our techniques would allow a search engine to pre-emptively "save state" for a searcher (e.g., by caching search results), perform more targeted personalization, and otherwise better support the searcher experience for interrupted search tasks.