ACM SIGIR Forum
Understanding user goals in web search
Proceedings of the 13th international conference on World Wide Web
Detecting dominant locations from search queries
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Detecting geographic locations from web resources
Proceedings of the 2005 workshop on Geographic information retrieval
Efficient query processing in geographic web search engines
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Characteristics of geographic information needs
Proceedings of the 4th ACM workshop on Geographical information retrieval
Incorporating place name extents into geo-ir ranking
Proceedings of the 17th ACM conference on Information and knowledge management
LocWeb 2010: Third International Workshop on Location and the Web
Proceedings of the 3rd International Workshop on Location and the Web
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In providing a service to mobile users, it would be critical to know what types of information they would look for in association with geo-referenced entities that may be extractable from queries or contexts. While understanding high-level user intentions in accessing the Web, such as informational, navigational, and transactional, is useful, a finer-level classification of user interests would further help adapting mobile search results to user intensions. Our research focuses on understanding what aspects of geo-referenced entities are mentioned in user queries in an attempt to create a model for user intents in geo-referenced Web searching. By collecting and analyzing geo-referenced questions posed to operational question answering systems, we delineated major aspects of non-topical information that people would seek in association with geographic information. The identified aspects were further conceptualized to develop a user interest model with three dimensions, which was validated with two sets of data. The model can be a basis for identifying user's intent in a mobile search context as well as classifying geo-related text to be retrieved for its aspectual category.