Using predictive prefetching to improve World Wide Web latency
ACM SIGCOMM Computer Communication Review
Automatic personalization based on Web usage mining
Communications of the ACM
Link prediction and path analysis using Markov chains
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Spatial information retrieval and geographical ontologies an overview of the SPIRIT project
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Toward the semantic geospatial web
Proceedings of the 10th ACM international symposium on Advances in geographic information systems
Machine Learning for User Modeling
User Modeling and User-Adapted Interaction
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Implicit feedback for inferring user preference: a bibliography
ACM SIGIR Forum
Selective Markov models for predicting Web page accesses
ACM Transactions on Internet Technology (TOIT)
Mining longest repeating subsequences to predict world wide web surfing
USITS'99 Proceedings of the 2nd conference on USENIX Symposium on Internet Technologies and Systems - Volume 2
Toward tighter integration of web search with a geographic information system
Proceedings of the 15th international conference on World Wide Web
Less-conscious information retrieval techniques for location based services
Proceedings of the 2009 International Workshop on Location Based Social Networks
GeminiMap - geographical enhanced map interface for navigation on the internet
W2GIS'07 Proceedings of the 7th international conference on Web and wireless geographical information systems
Recommendations based on region and spatial profiles
W2GIS'12 Proceedings of the 11th international conference on Web and Wireless Geographical Information Systems
User-Centric Similarity and Proximity Measures for Spatial Personalization
International Journal of Data Warehousing and Mining
W2GIS'13 Proceedings of the 12th international conference on Web and Wireless Geographical Information Systems
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In the context of Web personalization, Markov chains have been recently proposed to model user's navigational trails, in order to infer user preference and predict future visits through computation of transitional probabilities. Based on these principles, the research introduced in this paper develops a hybrid Web personalization approach that applies k-order Markov chains towards an integration of spatial proximity and semantic similarity for the manipulation of geographical data on the Web. This framework personalizes Web navigational experiences over spatial entities embedded in Web documents. A reinforcement process is also introduced to evaluate and adapt interactions between the user and the Web on the basis of user's relevance feedbacks. An illustrative case study applied to spatial information available on the Web exemplifies our approach.