Collaborative nowcasting for contextual recommendation

25th International World Wide Web Conference, WWW 2016

Volumn , Issue , 2016, Pages 1407-1417

  Sun, Yu ^a,b   Yuan, Nicholas Jing ^b   Xie, Xing ^b   McDonald, Kieran ^c   Zhang, Rui ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b MICROSOFT RESEARCH   (United States)

^c MICROSOFT   (United States)

Author keywords

Intent Monitoring; Nowcasting; Recommendation

Indexed keywords

ECONOMICS; WORLD WIDE WEB;

CONTEXTUAL RECOMMENDATIONS; DIGITAL ASSISTANTS; MOBILE INTELLIGENT DEVICES; NOWCASTING; RECOMMENDATION; SEQUENTIAL CORRELATIONS; SPATIAL TEMPORALS; STRUCTURAL PATTERN;

WEATHER FORECASTING;

EID: 84991504816     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2872427.2874812     Document Type: Conference Paper

References (36)

1. http://www.google.com/landing/now/.
2. http://dev.windows.com/en-us/cortana.
3. http://www.apple.com/ios/whats-new/.
4. http://glossary.ametsoc.org/wiki/Nowcast.
5. G. Adomavicius and A. Tuzhilin. Context-Aware recommender systems. In Recommender systems handbook, pages 217-253. Springer, 2011.
6. M. Banbura, D. Giannone, M. Modugno, and L. Reichlin. Now-casting and the real-Time data flow. Handbook of Economic Forecasting, 2013.
7. M. M. Bánbura, D. Giannone, and L. Reichlin. Nowcasting. The Oxford Handbook of Economic Forecasting, 2012.
8. L. Charlin, R. Ranganath, J. McInerney, and D. M. Blei. Dynamic poisson factorization. In RecSys, pages 155-162, 2015.
9. M. Dixon and G. Wiener. Titan: Thunderstorm identification, tracking, analysis, and nowcasting-A radar-based methodology. Journal of Atmospheric and Oceanic Technology, 10(6):785-797, 1993.
10. B. Duncan and C. Elkan. Nowcasting with numerous candidate predictors. In ECML PKDD, pages 370-385. 2014.
11. D. Giannone, L. Reichlin, and L. Sala. Monetary policy in real time. In NBER Macroeconomics Annual 2004, Volume 19, pages 161-224. 2005.
12. D. Giannone, L. Reichlin, and D. Small. Nowcasting: The real-Time informational content of macroeconomic data. Journal of Monetary Economics, 55(4):665-676, 2008.
13. R. A. Harshman. Parafac2: Mathematical and technical notes. UCLA Working Papers in Phonetics, 22(3044):122215, 1972.
14. T. Hofmann. Collaborative filtering via gaussian probabilistic latent semantic analysis. In SIGIR, pages 259-266, 2003.
15. D. Jannach, L. Lerche, and M. Jugovac. Adaptation and evaluation of recommendations for short-Term shopping goals. In RecSys, pages 211-218, 2015.
16. A. Karatzoglou, X. Amatriain, L. Baltrunas, and N. Oliver. Multiverse recommendation: N-dimensional tensor factorization for context-Aware collaborative filtering. In RecSys, pages 79-86, 2010.
17. Y. Koren. Collaborative filtering with temporal dynamics. In KDD, pages 447-456, 2009.
18. Y. Koren and R. Bell. Advances in collaborative filtering. In Recommender systems handbook, pages 145-186. 2011.
19. V. Lampos and N. Cristianini. Nowcasting events from the social web with statistical learning. TIST, 3(4):72, 2012.
20. T. Lansdall-Welfare, V. Lampos, and N. Cristianini. Nowcasting the mood of the nation. Significance, 9(4):26-28, 2012.
21. L. Lin, M. Ni, Q. He, J. Gao, A. W. Sadek, and T. I. T. I. Director. Modeling the impacts of inclement weather on freeway traffic speed: An exploratory study utilizing social media data. In Transportation Research Board 94th Annual Meeting, 2015.
22. Q. Liu, H. Ma, E. Chen, and H. Xiong. A survey of context-Aware mobile recommendations. International Journal of Information Technology & Decision Making, 12(01):139-172, 2013.
23. A. E. MacDonald, Y. Xie, and R. H. Ware. Diagnosis of three-dimensional water vapor using a gps network. Monthly Weather Review, 130(2):386-397, 2002.
24. T. Mahmood, F. Ricci, and A. Venturini. Improving recommendation effectiveness: Adapting a dialogue strategy in online travel planning. Information Technology & Tourism, 11(4):285-302, 2009.
25. C. Mass. Nowcasting: The promise of new technologies of communication, modeling, and observation. Bulletin of the American Meteorological Society, 93(6):797-809, 2012.
26. C. Mass and C. F. Mass. Nowcasting: The next revolution in weather prediction. Bulletin of the American Meteorological Society, 2011.
27. W. R. Moninger, S. G. Benjamin, B. D. Jamison, T. W. Schlatter, T. L. Smith, and E. J. Szoke. Evaluation of regional aircraft observations using tamdar. Weather and Forecasting, 25(2):627-645, 2010.
28. S. W. Raudenbush and A. S. Bryk. Hierarchical linear models: Applications and data analysis methods, volume 1. 2002.
29. S. Rendle. Factorization machines with libFM. TIST, 3(3):1-22, 2012.
30. S. Rendle, C. Freudenthaler, and L. Schmidt-Thieme. Factorizing personalized markov chains for next-basket recommendation. In WWW, pages 811-820, 2010.
31. S. L. Scott and H. R. Varian. Predicting the present with bayesian structural time series. International Journal of Mathematical Modelling and Numerical Optimisation, 5(1-2):4-23, 2014.
32. M. Shokouhi and Q. Guo. From queries to cards: Re-ranking proactive card recommendations based on reactive search history. In SIGIR, pages 695-704, 2015.
33. J. Z. Sun, D. Parthasarathy, and K. R. Varshney. Collaborative kalman filtering for dynamic matrix factorization. Transactions on Signal Processing, 62(14):3499-3509, 2014.
34. J. W. Wilson, N. A. Crook, C. K. Mueller, J. Sun, and M. Dixon. Nowcasting thunderstorms: A status report. Bulletin of the American Meteorological Society, 79(10):2079-2099, 1998.
35. Q. Wu, C. J. Burges, K. M. Svore, and J. Gao. Adapting boosting for information retrieval measures. Information Retrieval, 13(3):254-270, 2010.
36. Y. Zhang, M. Zhang, Y. Zhang, G. Lai, Y. Liu, H. Zhang, and S. Ma. Daily-Aware personalized recommendation based on feature-level time series analysis. In WWW, pages 1373-1383, 2015.