Fusion Via a Linear Combination of Scores
Information Retrieval
Geographical Information Retrieval with Ontologies of Place
COSIT 2001 Proceedings of the International Conference on Spatial Information Theory: Foundations of Geographic Information Science
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Categorizing web queries according to geographical locality
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Large Margin Methods for Structured and Interdependent Output Variables
The Journal of Machine Learning Research
A support vector method for optimizing average precision
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
A query-aware document ranking method for geographic information retrieval
Proceedings of the 4th ACM workshop on Geographical information retrieval
A comparison of geometric approaches to assessing spatial similarity for GIR
International Journal of Geographical Information Science
Learning to Rank for Information Retrieval
Foundations and Trends in Information Retrieval
GeoCLEF 2008: the CLEF 2008 cross-language geographic information retrieval track overview
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
The University of Lisbon at GeoCLEF 2006
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
Using the geographic scopes of web documents for contextual advertising
Proceedings of the 6th Workshop on Geographic Information Retrieval
Geo-textual relevance ranking to improve a text-based retrieval for geographic queries
NLDB'11 Proceedings of the 16th international conference on Natural language processing and information systems
Learning to associate relevant photos to georeferenced textual documents
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Relevance and ranking in geographic information retrieval
FDIA'11 Proceedings of the Fourth BCS-IRSG conference on Future Directions in Information Access
Ranking web pages by associating keywords with locations
WAIM'13 Proceedings of the 14th international conference on Web-Age Information Management
Exploiting location information for Web search
Computers in Human Behavior
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The task of Learning to Rank is currently getting increasing attention, providind a sound methodology for combining different sources of evidence. The goal is to design and apply machine learning methods to automatically learn a function from training data that can sort documents according to their relevance. Geographic information retrieval has also emerged as an active and growing research area, addressing the retrieval of textual documents according to geographic criteria of relevance. In this paper, we explore the usage of a learning to rank approach for geographic information retrieval, leveraging on the datasets made available in the context of the previous GeoCLEF evaluation campaigns. The idea is to combine different metrics of textual and geographic similarity into a single ranking function, through the use of the SV Mmap framework. Experimental results show that the proposed approach can outperform baselines based on heuristic combinations of features.