Spice: Socially-driven learning-based mobile media prefetching

Proceedings - IEEE INFOCOM

Volumn 2016-July, Issue , 2016, Pages

  Wu, Chao ^a   Chen, Xu ^b   Zhou, Yuezhi ^a   Li, Ningyuan ^c   Fu, Xiaoming ^b   Zhang, Yaoxue ^a  

^a TSINGHUA UNIVERSITY   (China)

^b UNIVERSITY OF GÖTTINGEN   (Germany)

^c ZHONGYUAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; ENERGY UTILIZATION; LEARNING SYSTEMS; SMARTPHONES; SOCIAL NETWORKING (ONLINE);

ADAPTIVE PREFETCHING; BIAS MODELING; CONTENT SHARING; EVALUATION RESULTS; LARGE SCALE DATA; ONLINE SOCIAL NETWORKS (OSNS); QUALITY OF EXPERIENCE (QOE); SCHEDULING SCHEMES;

QUALITY OF SERVICE;

EID: 84983246823     PISSN: 0743166X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/INFOCOM.2016.7524568     Document Type: Conference Paper

References (24)

1. [Online]. Available: http://www.comscore.com/Insights/Presentationsand-Whitepapers/2014/2014-US-Digital-Future-in-Focus
2. [Online]. Available: http://wearesocial.net/blog/2015/01/digital-socialmobile-worldwide-2015
3. [Online]. Available: http://www.journalism.org/2013/11/14/news-useacross-social-media-platforms
4. D. Chu et al., "Mobile apps: it's time to move up to condos," in HotOS. USENIX Association, 2011, pp. 16-16.
5. B. D. Higgins et al., "Informed mobile prefetching," in MobiSys. ACM, 2012, pp. 155-168.
6. Y. Wang et al., "Earlybird: Mobile prefetching of social network feeds via content preference mining and usage pattern analysis," in MobiHoc. ACM, 2015, pp. 67-76.
7. D. Rout et al., "Where's@ wally?: a classification approach to geolocating users based on their social ties," in HT. ACM, 2013, pp. 11-20.
8. "Twidere for twitter. http://twidere.mariotaku.org/.
9. "Twitter rest apis. https://dev.twitter.com/.
10. M. E. Newman, "Modularity and community structure in networks," Proceedings of the National Academy of Sciences, vol. 103, no. 23, pp. 8577-8582, 2006.
11. A. Ahmad and L. Dey, "A k-mean clustering algorithm for mixed numeric and categorical data," Data &Knowledge Engineering, vol. 63, no. 2, pp. 503-527, 2007.
12. A. J. Nicholson and B. D. Noble, "Breadcrumbs: forecasting mobile connectivity," in MobiCom. ACM, 2008, pp. 46-57.
13. L. Hong et al., "Learning to rank social update streams," in SIGIR. ACM, 2012, pp. 651-660.
14. L. Bottou, "Stochastic gradient descent tricks," in Neural Networks: Tricks of the Trade. Springer, 2012, pp. 421-436.
15. L. Ravindranath et al., "Give in to procrastination and stop prefetching," in HotNets-XII. ACM, 2013, p. 7.
16. A. Parate et al., "Practical prediction and prefetch for faster access to applications on mobile phones," in UbiComp. ACM, 2013, pp. 275-284.
17. A. Anagnostopoulos, R. Kumar, and M. Mahdian, "Influence and correlation in social networks," in SIGKDD. ACM, 2008, pp. 7-15.
18. X. Chen et al., "Exploiting social ties for cooperative d2d communications: A mobile social networking case," Networking, IEEE/ACM Transactions on, vol. 23, no. 5, pp. 1471-1484, Oct 2015.
19. H. Kwak et al., "What is twitter, a social network or a news media?" in WWW. ACM, 2010, pp. 591-600.
20. M. Cha et al., "Measuring user influence in twitter: The million follower fallacy." ICWSM, vol. 10, no. 10-17, p. 30, 2010.
21. E. Bakshy et al., "Everyone's an influencer: quantifying influence on twitter," in WSDM. ACM, 2011, pp. 65-74.
22. J. Weng et al., "Twitterrank: finding topic-sensitive influential twitterers," in WSDM. ACM, 2010, pp. 261-270.
23. J. J. Cameron, C. K.-S. Leung, and S. K. Tanbeer, "Finding strong groups of friends among friends in social networks," in DASC. IEEE, 2011, pp. 824-831.
24. "Wechat. http://en.wikipedia.org/wiki/wechat.