What Aspects do People Search in Geo-referenced Text?. Jang, G., Park, K., Kim, K., Jeong, Y., & Myaeng, S. In pages 12-15.
doi  abstract   bibtex   
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.
@inproceedings{ jan10,
  crossref = {locweb2010},
  author = {Gwan Jang and Keun-Chan Park and Kyung-Min Kim and Yoonjae Jeong and Sung-Hyon Myaeng},
  title = {What Aspects do People Search in Geo-referenced Text?},
  pages = {12-15},
  doi = {10.1145/1899662.1899666},
  uri = {http://portal.acm.org/citation.cfm?id=1899666},
  abstract = {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.}
}
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