ReadMe: A real-time recommendation system for mobile augmented reality ecosystems

MM 2016 - Proceedings of the 2016 ACM Multimedia Conference

Volumn , Issue , 2016, Pages 312-316

  Chatzopoulos, Dimitris ^a   Hui, Pan ^a  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

AUGMENTED REALITY; ECOLOGY; ECOSYSTEMS; MOBILE DEVICES; MOBILE TELECOMMUNICATION SYSTEMS;

MOBILE AUGMENTED REALITY; MOBILE USERS; ON-LINE ALGORITHMS; REAL TIME; VIRTUAL OBJECTS;

RECOMMENDER SYSTEMS;

EID: 84994666587     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2964284.2967233     Document Type: Conference Paper

References (25)

1. R. Burke. Knowledge-based recommender systems. Encyclopedia of library and information systems, 69(Supplement 32):175-186, 2000.
2. M. R. Clark and L. Stark. Control of human eye movements: Iii. dynamic characteristics of the eye tracking mechanism. Mathematical Biosciences, 20(3):239-265, 1974.
3. C. Curino, E. Jones, R. A. Popa, N. Malviya, E. Wu, S. Madden, H. Balakrishnan, and N. Zeldovich. Relational Cloud: A Database Service for the Cloud. In 5th Biennial Conference on Innovative Data Systems Research, Asilomar, CA, January 2011.
4. A. A. de Freitas and A. K. Dey. The group context framework: An extensible toolkit for opportunistic grouping and collaboration. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, CSCW '15, pages 1602-1611, New York, NY, USA, 2015. ACM.
5. G. Ference, M. Ye, and W.-C. Lee. Location recommendation for out-of-town users in location-based social networks. In Proceedings of the 22nd ACM international conference on Conference on information & knowledge management, pages 721-726. ACM, 2013.
6. H. Gao, J. Tang, X. Hu, and H. Liu. Exploring temporal effiects for location recommendation on location-based social networks. In Proceedings of the 7th ACM conference on Recommender systems, pages 93-100. ACM, 2013.
7. D. Goldberg, D. Nichols, B. M. Oki, and D. Terry. Using collaborative filtering to weave an information tapestry. Communications of the ACM, 35(12):61-70, 1992.
8. G. Hu, J. Shao, L. Gao, and Y. Yang. Exploring viewable angle information in georeferenced video search. In Proceedings of the 23rd ACM International Conference on Multimedia, MM '15, pages 839-842, New York, NY, USA, 2015. ACM.
9. Z. Huang, P. Hui, C. Peylo, and D. Chatzopoulos. Mobile augmented reality survey: a bottom-up approach. CoRR, abs/1309.4413, 2013.
10. R. Jacob and K. S. Karn. Eye tracking in human-computer interaction and usability research: Ready to deliver the promises. Mind, 2(3):4, 2003.
11. S. Julier, M. Lanzagorta, Y. Baillot, L. Rosenblum, S. Feiner, T. Hollerer, and S. Sestito. Information filtering for mobile augmented reality. In Augmented Reality, 2000.(ISAR 2000). Proceedings. IEEE and ACM International Symposium on, pages 3-11. IEEE, 2000.
12. V. Kachitvichyanukul, H. Luong, and R. Pitakaso. Applying augmented reality to location-based restaurant recommendation for enhancing usability.
13. H. Kimura, E. Tokunaga, and T. Nakajima. System support for mobile augmented reality services. In Proceedings of the 2007 ACM Symposium on Applied Computing, SAC '07, pages 1616-1623, New York, NY, USA, 2007. ACM.
14. Y. Koren. Factorization meets the neighborhood: a multifaceted collaborative filtering model. In Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 426-434. ACM, 2008.
15. K. W.-T. Leung, D. L. Lee, and W.-C. Lee. Clr: a collaborative location recommendation framework based on co-clustering. In Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval, pages 305-314. ACM, 2011.
16. B. Liu, H. Xiong, B. Liu, and H. Xiong. Point-of-interest recommendation in location based social networks with topic and location awareness. Proc. of SDMáÁ Z13, pages 396-404, 2013.
17. J. Manweiler. Cloud-based mobile augmented reality, pitfalls and strategies in a realtime deployment. In Proceedings of the 2014 Workshop on Mobile Augmented Reality and Robotic Technology-based Systems, MARS '14, pages 21-21, New York, NY, USA, 2014. ACM.
18. O. Mayor, Q. Llimona, M. Marchini, P. Papiotis, and E. Maestre. repovizz: A framework for remote storage, browsing, annotation, and exchange of multi-modal data. In Proceedings of the 21st ACM International Conference on Multimedia, MM '13, pages 415-416, New York, NY, USA, 2013. ACM.
19. M. J. Pazzani and D. Billsus. Content-based recommendation systems. In The adaptive web, pages 325-341. Springer, 2007.
20. M. Stengel, S. Grogorick, M. Eisemann, E. Eisemann, and M. A. Magnor. An áordable solution for binocular eye tracking and calibration in head-mounted displays. In Proceedings of the 23rd ACM International Conference on Multimedia, MM '15, pages 15-24, New York, NY, USA, 2015. ACM.
21. Y. Tao, D. Papadias, and Q. Shen. Continuous nearest neighbor search. In Proceedings of the 28th International Conference on Very Large Data Bases, VLDB '02, pages 287-298. VLDB Endowment, 2002.
22. M. Ye, P. Yin, and W.-C. Lee. Location recommendation for location-based social networks. In Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems, pages 458-461. ACM, 2010.
23. H. Yin, B. Cui, Z. Huang, W. Wang, X. Wu, and X. Zhou. Joint modeling of users' interests and mobility patterns for point-of-interest recommendation. In Proceedings of the 23rd ACM International Conference on Multimedia, MM '15, pages 819-822, New York, NY, USA, 2015. ACM.
24. Z. Zhang, S. Shang, S. R. Kulkarni, and P. Hui. Improving augmented reality using recommender systems. In Proceedings of the 7th ACM conference on Recommender systems, pages 173-176. ACM, 2013.
25. X. Zhu, J. Guo, X. Cheng, P. Du, and H.-W. Shen. A unified framework for recommending diverse and relevant queries. In Proceedings of the 20th International Conference on World Wide Web, WWW '11, pages 37-46, New York, NY, USA, 2011. ACM.