Geographic information retrieval in a mobile environment: evaluating the needs of mobile individuals
Journal of Information Science
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
Geographic information retrieval to suit immediate surroundings
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
How does search behavior change as search becomes more difficult?
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
| Hi-index | 0.00 |
We propose a recommendation method of geographical information for mobile devices based on user search operations using local services such as Yelp. We presume that we can estimate the search conditions using user operations for a region and category by analyzing the user operations. There are four operations, changing the region, selecting the categories, viewing the objects, and selecting an object. We use the user operations to extract important factors attached to the user. At this time, we think that users have the requirement that there be an appropriate number of displayed objects. Thus, we propose a recommendation method with an automatic adjusting search property to satisfy the constrained condition for the number of displayed objects. We aim for intelligent interaction such as optimizing the search properties to estimate the user requirements from realizable operations on a general interface. In this paper, we discuss an adjusting method and developed prototype system.