The nature of statistical learning theory
The nature of statistical learning theory
Approximate nearest neighbor queries in fixed dimensions
SODA '93 Proceedings of the fourth annual ACM-SIAM Symposium on Discrete algorithms
Analysis of a very large web search engine query log
ACM SIGIR Forum
Searching the Web: the public and their queries
Journal of the American Society for Information Science and Technology
Information Retrieval
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
User Behavior Analysis of Location Aware Search Engine
MDM '02 Proceedings of the Third International Conference on Mobile Data Management
ACM SIGIR Forum
Understanding user goals in web search
Proceedings of the 13th international conference on World Wide Web
A temporal comparison of AltaVista Web searching: Research Articles
Journal of the American Society for Information Science and Technology
Automatic identification of user goals in Web search
WWW '05 Proceedings of the 14th international conference on World Wide Web
Geo-word centric association rule mining
Proceedings of the 6th international conference on Mobile data management
Detecting geographic locations from web resources
Proceedings of the 2005 workshop on Geographic information retrieval
Geographic web search based on positioning expressions
Proceedings of the 2005 workshop on Geographic information retrieval
Q2C@UST: our winning solution to query classification in KDDCUP 2005
ACM SIGKDD Explorations Newsletter
A large scale study of wireless search behavior: Google mobile search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
How are we searching the world wide web?: a comparison of nine search engine transaction logs
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
Web Search: Public Searching of the Web (Information Science and Knowledge Management)
Web Search: Public Searching of the Web (Information Science and Knowledge Management)
Characteristics of geographic information needs
Proceedings of the 4th ACM workshop on Geographical information retrieval
Geographic intention and modification in web search
International Journal of Geographical Information Science
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
Mapping geographic coverage of the web
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
Density based co-location pattern discovery
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
Data Mining and Knowledge Discovery
Keyword-aware optimal route search
Proceedings of the VLDB Endowment
Map search via a factor graph model
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Map search engines, such as Google Maps, Yahoo! Maps, and Microsoft Live Maps, allow users to explicitly specify a target geographic location, either in keywords or on the map, and to search businesses, people, and other information of that location. In this article, we report a first study on a million-entry map search log. We identify three key attributes of a map search record—the keyword query, the target location and the user location, and examine the characteristics of these three dimensions separately as well as the associations between them. Comparing our results with those previously reported on logs of general search engines and mobile search engines, including those for geographic queries, we discover the following unique features of map search: (1) People use longer queries and modify queries more frequently in a session than in general search and mobile search; People view fewer result pages per query than in general search; (2) The popular query topics in map search are different from those in general search and mobile search; (3) The target locations in a session change within 50 kilometers for almost 80% of the sessions; (4) Queries, search target locations and user locations (both at the city level) all follow the power law distribution; (5) One third of queries are issued for target locations within 50 kilometers from the user locations; (6) The distribution of a query over target locations appears to follow the geographic location of the queried entity.