Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Fast subsequence matching in time-series databases
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Geospatial mapping and navigation of the web
Proceedings of the 10th international conference on World Wide Web
Computing Geographical Scopes of Web Resources
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
GeoSearcher: location-based ranking of search engine results
Journal of the American Society for Information Science and Technology
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Optimizing web search using web click-through data
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Semantic similarity between search engine queries using temporal correlation
WWW '05 Proceedings of the 14th international conference on World Wide Web
Detecting geographic locations from web resources
Proceedings of the 2005 workshop on Geographic information retrieval
Semi-supervised learning of geographical gazetteers from the internet
HLT-NAACL-GEOREF '03 Proceedings of the HLT-NAACL 2003 workshop on Analysis of geographic references - Volume 1
Fast time series classification using numerosity reduction
ICML '06 Proceedings of the 23rd international conference on Machine learning
Online learning from click data for sponsored search
Proceedings of the 17th international conference on World Wide Web
Analysis of geographic queries in a search engine log
Proceedings of the first international workshop on Location and the web
Clustering of time series data-a survey
Pattern Recognition
Location recommendation for location-based social networks
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
A review on time series data mining
Engineering Applications of Artificial Intelligence
Understanding temporal query dynamics
Proceedings of the fourth ACM international conference on Web search and data mining
Patterns of temporal variation in online media
Proceedings of the fourth ACM international conference on Web search and data mining
A word at a time: computing word relatedness using temporal semantic analysis
Proceedings of the 20th international conference on World wide web
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
WAIM'05 Proceedings of the 6th international conference on Advances in Web-Age Information Management
Inferring User Context from Spatio-Temporal Pattern Mining for Mobile Application Services
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
How big is the crowd?: event and location based population modeling in social media
Proceedings of the 24th ACM Conference on Hypertext and Social Media
Learning geographical preferences for point-of-interest recommendation
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Where you like to go next: successive point-of-interest recommendation
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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The emergence of location sharing services is rapidly accelerating the convergence of our online and offline activities. In one direction, Foursquare, Google Latitude, Facebook Places, and related services are enriching real-world venues with the social and semantic connections among online users. In analogy to how clickstreams have been successfully incorporated into traditional web ranking based on content and link analysis, we propose to mine traffic patterns revealed through location sharing services to augment traditional location-based search. Concretely, we study location-based traffic patterns revealed through location sharing services and find that these traffic patterns can identify semantically related locations. Based on this observation, we propose and evaluate a traffic-driven location clustering algorithm that can group semantically related locations with high confidence. Through experimental study of 12 million locations from Foursquare, we extend this result through supervised location categorization, wherein traffic patterns can be used to accurately predict the semantic category of uncategorized locations. Based on these results, we show how traffic-driven semantic organization of locations may be naturally incorporated into location-based web search.