Abstract
During searches for suitable objects with geographical information retrieval systems, users can select various search properties such as the region, category, price, distance, and rating. We assumed that there would be implicit connections among the properties in the search operations adopted by users. For example, if a user wants to go a bar, they might search for a bar by changing the rating property to “high” and changing the price property to “moderate.” If the user wants to go a bar again, however, they might search for a bar by changing the rating property to “moderate” and changing the price property to “low.” Thus, the price property and rating property are connected by the context when searching for the “bar” category. We consider that the connected properties may differ according to the operational context. In this paper, we propose a method for extracting connected properties based on the operation history of user. We also describe an automatic adjustment function based on the connected properties extracted.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Kobayashi, K., Kitayama, D., Sumiya, K.: Recommender System for Mobile Devices based on Extracting Criteria of Local Search using User’s Operation. In: Proc. of the 11th International Working Conference on Advanced Visual Interfaces (AVI 2012), pp. 677–680 (2012)
Cho, M., Kim, B., Jeong, D.K., Shin, Y.-G., Seo, J.: Dynamic Query Interface for Spatial Proximity Query with Degree-of-interest Varied by Distance to Query Point. In: Proc. of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2010), pp. 693–702 (2010)
Bostandjiev, S., O’Donovan, J., Höllerer, T.: TasteWeights: A Visual Interactive Hybrid Recommender System. In: Proc. of the 6th ACM Conference on Recommender Systems (RecSys 2012), pp. 35–42 (2012)
Dalal, O., Sengamedu, S.H., Sanyal, S.: Multi-Objective Ranking of Comments on Web. In: Proc. of the 21st International Conference on World Wide Web (WWW 2012), pp. 419–428 (2012)
Liu, L., Mehandjiev, N., Xu, D.-L.: Multi-Criteria Service Recommendation Based on User Criteria Preferences. In: Proc. of the 5th ACM Conference on Recommender Systems (RecSys 2011), pp. 77–84 (2011)
Biancalana, C., Flamini, A., Gasparetti, F., Micarelli, A., Millevolte, S., Sansonetti, G.: Enhancing Traditional Local Search Recommendations with Context-Awareness. In: Konstan, J.A., Conejo, R., Marzo, J.L., Oliver, N. (eds.) UMAP 2011. LNCS, vol. 6787, pp. 335–340. Springer, Heidelberg (2011)
Baltrunas, L., Ludwig, B., Peer, S., Ricci, F.: Context-Aware Places of Interest Recommendations and Explanations. Journal of Personal and Ubiquitous Computing 16(5), 507–526 (2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kitayama, D., Matsuo, J., Sumiya, K. (2013). Extracting Relations among Search Properties Based on the Operational Context of Geographical Information Retrieval Systems. In: Hong, B., Meng, X., Chen, L., Winiwarter, W., Song, W. (eds) Database Systems for Advanced Applications. DASFAA 2013. Lecture Notes in Computer Science, vol 7827. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40270-8_15
Download citation
DOI: https://doi.org/10.1007/978-3-642-40270-8_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40269-2
Online ISBN: 978-3-642-40270-8
eBook Packages: Computer ScienceComputer Science (R0)