Towards the development of an intelligent personalized campus event recommendation system

Yi Min Chiang, Jung-Hong Hong

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

Abstract

The success of the LBS (Location-Based Service) opens a new dimension for the distribution and use of geospatial information. With its "push" nature, LAS (Location-Aware System) has received increasing attention in recent years because the service providers can actively pursue possible customers, instead of passively waiting for messages to be searched and retrieved. Such a recommender system, however, must have built-in knowledge to successfully bridge the information feeds between customers and service providers. We proposed a Personal Context-Aware System (PCAS) in this paper, which automatically and intelligently filters pushed message on an individual user basis. In addition to the frequently considered locational constraint, we argued temporal, environmental and semantic constraints are also necessary to ensure only the information about reachable and meaningful activities is provided. Using campus activities as an example, the developed algorithm can select a unique set of activities from the campus activities database according to students' unique schedule and profile. An activity planning algorithm is further developed to allocate the best plan for arranging activities in the leisure time. With the rapidly growing popularity of mobile devices, the needs for intelligent information filtering also arises, the PCAS can no doubt serve as the basis for many innovated applications in human's daily lives.

Original languageEnglish
Title of host publication34th Asian Conference on Remote Sensing 2013, ACRS 2013
PublisherAsian Association on Remote Sensing
Pages4693-4704
Number of pages12
Volume5
ISBN (Print)9781629939100
Publication statusPublished - 2013
Event34th Asian Conference on Remote Sensing 2013, ACRS 2013 - Bali, Indonesia
Duration: 2013 Oct 202013 Oct 24

Other

Other34th Asian Conference on Remote Sensing 2013, ACRS 2013
CountryIndonesia
CityBali
Period13-10-2013-10-24

Fingerprint

Recommender systems
Information filtering
Location based services
Mobile devices
Semantics
Students
Planning

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Cite this

Chiang, Y. M., & Hong, J-H. (2013). Towards the development of an intelligent personalized campus event recommendation system. In 34th Asian Conference on Remote Sensing 2013, ACRS 2013 (Vol. 5, pp. 4693-4704). Asian Association on Remote Sensing.
Chiang, Yi Min ; Hong, Jung-Hong. / Towards the development of an intelligent personalized campus event recommendation system. 34th Asian Conference on Remote Sensing 2013, ACRS 2013. Vol. 5 Asian Association on Remote Sensing, 2013. pp. 4693-4704
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Chiang, YM & Hong, J-H 2013, Towards the development of an intelligent personalized campus event recommendation system. in 34th Asian Conference on Remote Sensing 2013, ACRS 2013. vol. 5, Asian Association on Remote Sensing, pp. 4693-4704, 34th Asian Conference on Remote Sensing 2013, ACRS 2013, Bali, Indonesia, 13-10-20.

Towards the development of an intelligent personalized campus event recommendation system. / Chiang, Yi Min; Hong, Jung-Hong.

34th Asian Conference on Remote Sensing 2013, ACRS 2013. Vol. 5 Asian Association on Remote Sensing, 2013. p. 4693-4704.

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

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Chiang YM, Hong J-H. Towards the development of an intelligent personalized campus event recommendation system. In 34th Asian Conference on Remote Sensing 2013, ACRS 2013. Vol. 5. Asian Association on Remote Sensing. 2013. p. 4693-4704