Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Computing Geographical Scopes of Web Resources
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Web-a-where: geotagging web content
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
Proceedings of the 15th international conference on Multimedia
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Geographical topic discovery and comparison
Proceedings of the 20th international conference on World wide web
A location-based news article recommendation with explicit localized semantic analysis
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
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The fast evolution and adoption of social media creates an increasingly need for location based services. Location inference on news or events becomes an essential problem. This paper addresses the problem by extracting location involved topics (geo-topic) using both text content and visual content. This paper proposes a geo-topic extraction framework for geo-location inference, including location name entity recognition, location related image association and a multimodal location dependent pLSA geo-topic model. Experiments have shown that our fused model improves the f-score in geo-location inference by 10% compared with single modality based models.