Enriching buyers' experiences: the SmartClient approach
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Experiences of developing and deploying a context-aware tourist guide: the GUIDE project
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
The FindMe Approach to Assisted Browsing
IEEE Expert: Intelligent Systems and Their Applications
C-MAP: Building a Context-Aware Mobile Assistant for Exhibition Tours
Community Computing and Support Systems, Social Interaction in Networked Communities [the book is based on the Kyoto Meeting on Social Interaction and Communityware, held in Kyoto, Japan, in June 1998]
A Personalized Restaurant Recommender Agent for Mobile E-Service
EEE '04 Proceedings of the 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'04)
Evaluating example-based search tools
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
Effective Interaction Principles for Online Product Search Environments
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Integrating tradeoff support in product search tools for e-commerce sites
Proceedings of the 6th ACM conference on Electronic commerce
Personalizing search via automated analysis of interests and activities
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Extracting metadata for spatially-aware information retrieval on the internet
Proceedings of the 2005 workshop on Geographic information retrieval
Implicit interaction profiling for recommending spatial content
Proceedings of the 13th annual ACM international workshop on Geographic information systems
Increasing user decision accuracy using suggestions
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Toward tighter integration of web search with a geographic information system
Proceedings of the 15th international conference on World Wide Web
Web information retrieval based on user operation on digital maps
GIS '06 Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems
Conversational recommenders with adaptive suggestions
Proceedings of the 2007 ACM conference on Recommender systems
Evaluating preference-based search tools: a tale of two approaches
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Reranking and Classifying Search Results Exhaustively Based on Edit-and-Propagate Operations
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
Preference-based search using example-critiquing with suggestions
Journal of Artificial Intelligence Research
REJA: A Georeferenced Hybrid Recommender System for Restaurants
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
ExpertClerk: navigating shoppers' buying process with the combination of asking and proposing
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Geographic information retrieval to suit immediate surroundings
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Geographical recommender system based on interaction between map operation and category selection
Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems
The lookahead principle for preference elicitation: experimental results
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
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Digital map services and geographical information search services are widely available on the Internet. Users can retrieve appropriate geographical information from digital maps using certain map operations and category selection methods. However, it can be difficult for users to find specific geographical information when a map region contains a large amount of information. Furthermore, a user's interest in a region or a category may change. Therefore, the authors propose a method for recommending geographical information to users based on their map operation or category selection history. The authors developed a model to determine a user's interests and used it to recommend suitable regions and categories.