A mobile location-based information recommendation system based on GPS and WEB2.0 services

WSEAS Transactions on Computers

Volumn 8, Issue 4, 2009, Pages 725-734

  Yang, Fan ^a   Wang, Zhi Mei ^b  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b Wenzhou Vocational and Technical College   (China)

Author keywords

Collaborative filtering; GPS; Location based service (LBS); Mobile information pushing; Personalized recommendation; Tagging; Web 2.0

Indexed keywords

COLLABORATIVE FILTERING; GPS; LOCATION BASED SERVICE (LBS); MOBILE INFORMATION PUSHING; PERSONALIZED RECOMMENDATION; TAGGING; WEB 2.0;

DATA HANDLING; ENCODING (SYMBOLS); GLOBAL POSITIONING SYSTEM; INFORMATION SERVICES; KNOWLEDGE BASED SYSTEMS; MIDDLEWARE; SIGNAL FILTERING AND PREDICTION; TELECOMMUNICATION SERVICES; WIRELESS TELECOMMUNICATION SYSTEMS;

SERVICE ORIENTED ARCHITECTURE (SOA);

EID: 68049109096     PISSN: 11092750     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (23)

1. Koeppel, I. What are location services? From a GIS Perspective, ESRI white paper.2000.
2. Shiode, N., Li, C., Batty, M., Longley, P., & Maguire, D. The impact and penetration of location-based services. In H. A. Karimi & A. Hammad (Eds.), Telegeoinformatics: location-based computing and services, 2004, pp. 349-366, CRC Press.
3. Jiang, B., Yao, X. B. Location-based services and GIS in perspective. Computers, Environment and Urban Systems, Vol. 30, No.6, 2006, pp. 712-725.
4. Kaasinen, E. User needs for location-aware mobile services. Personal and Ubiquitous Computing, Vol. 7, 2006, pp.70-79.
5. Csinger, A. Users models for intent-based authoring. Dissertation, The University of British Columbia, 1995.
6. Karimi, H. A. Telegeoinformatics: Current trends and future direction. In H. A. Karimi & A. Hammad (Eds.), Telegeoinformatics: location-based computing and services, 2004, CRC Press.
7. Li, C. User preferences, information transactions and location-based services: A study of urban pedestrian way finding. Computers, Environment and Urban Systems, Vol. 30, No. 6, 2004, pp.726-740.
8. Ashbrook, D., & Starner, T. Using GPS to learn significant locations and predict movement across multiple users. Personal and Ubiquitous Computing, Vol.7, 2003, pp. 275-286.
9. Fan Yang, Bernd Kraemer, Zhimei Wang, An Novel E-Learner Community Construction Algorithm in Point View of Learning Interests, WSEAS Transactions on Computers, Vol.5, No. 12, 2006, pp.3097-3103.
10. Zhi-mei Wang, Ling-Ning Li, Enable collaborative learning: an improved e-learning social network exploiting approach, Proceedings of the 6th Conference on WSEAS International Conference on Applied Computer Science, Vol.6, 2007, pp.311-314.
11. Fan Yang, Bernd Kraemer, Zhimei Wang, Peng Han, An Improved E-learner Community Construction Algorithm Based on Learning Interest Feature Vectors, 6th WSEAS International Conference on APPLIED INFORMATICS AND COMMUNICATIONS (AIC'06), Crete Island, Greece, 2006, pp. 254-259.
12. Public-Rating "Da Zhong Dian Ping" website http:/ /www.dianping.com
13. Definition for Tags from wikipedia "http://en.wikipedia.org/wiki/ Tag_(metadata)#cite_note-0"
14. Del.ici.us website, "http://del.ici.us" 15 Flickr website, "http://www.flickr.com"
15. Flickr website, "http://www.flickr.com"
16. Youtube website, "http://www.youtube.com"
17. Yuki Kadoya, Masao Fuketa, Elsayed Atlam, Kazuhiro Morita, Shinkaku Kashiji, and Jun ichi Aoe. An efficient e-mail filtering using time priority measurement. Information Sciences, Vol. 166, No.1-4, 2004, pp.213-229.
18. Bo-Yeong Kang, Dae-Won Kim, and Sang-Jo Lee. Exploiting concept clusters for content-based information retrieval. Information Sciences, Vol.170, No.2-4, 2005, pp. 443-462.
19. D.R. Tauritz, J.N. Kok, and I.G. Sprinkhuizen-Kuyper. Adaptive information filtering using evolutionary computation. Information Sciences, Vol.122, No.2-4, 2000, pp.121-140.
20. John S. Breese, David Heckerman, and Karl Kadie. Empirical analysis of predictive algorithms for collaborative filtering. In Proceedings of 14th Conference on Uncertainty in Artificial Intelligence, 1998, pp.43-52.
21. Greg Linden, Brent Smith, and Jeremy York. Amazon.com recommendations item-to-item collaborative filtering. IEEE Internet Computing, Vol. 7, No.1, 2003, pp.76-80.
22. Zhimei Wang, Peng Han, Fan Yang, E-Learner Community Exploiting Based on Collaboration Filtering, Proceedings of the 6th WSEAS International Conference on Applied Informatics and Communications, Elounda, Greece, 2006, pp.250-253.
23. Bo Xie, Peng Han, Fan Yang, Ruimin Shen, Hua-Jun Zeng, Zheng Chen: DCFLA: A distributed collaborative-filtering neighbor-locating algorithm. Information Science, Vol.177, No.6, 2007, pp.1349-1363.