Collaborative spatial object recommendation in location based services

Gaurav Gupta, Wang Chien Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Recommendation systems have found their ways into many on-line web applications, e.g., product recommendation on Amazon and movie recommendation on Netflix. Particularly, collaborative filtering techniques have been widely used in these systems to personalize the recommendations according to the needs and tastes of users. In this paper, we apply collaborative filtering in spatial object recommendation which is essential in many location based services. Due to the large number of spatial objects and participating users, using collaborative filtering to obtain recommendations for a particular user can be very expensive. However, we observe that users tend to have affinity for some regions and argue that using users with similar regional bias in recommendation may help in reducing the search space of similar users. Thus, we propose two techniques, namely, Access Minimum Bounding Rectangle Overlapped Area (AMBROA) and Grid Division Cosine Similarity (GDCS), to form regions of interests that represent user location interests and activities and to find users with local access similarity to facilitate effective spatial object recommendation. We conduct an extensive performance evaluation to validate our ideas. Evaluation result demonstrates the superiority of our proposal over the conventional approach.

Original languageEnglish (US)
Title of host publicationProceedings - 2010 39th International Conference on Parallel Processing Workshops, ICPPW 2010
Pages24-33
Number of pages10
DOIs
StatePublished - Dec 13 2010
Event2010 39th International Conference on Parallel Processing Workshops, ICPPW 2010 - San Diego, CA, United States
Duration: Sep 13 2010Sep 16 2010

Publication series

NameProceedings of the International Conference on Parallel Processing Workshops
ISSN (Print)1530-2016

Other

Other2010 39th International Conference on Parallel Processing Workshops, ICPPW 2010
CountryUnited States
CitySan Diego, CA
Period9/13/109/16/10

All Science Journal Classification (ASJC) codes

  • Software
  • Mathematics(all)
  • Hardware and Architecture

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    Gupta, G., & Lee, W. C. (2010). Collaborative spatial object recommendation in location based services. In Proceedings - 2010 39th International Conference on Parallel Processing Workshops, ICPPW 2010 (pp. 24-33). [5599144] (Proceedings of the International Conference on Parallel Processing Workshops). https://doi.org/10.1109/ICPPW.2010.16