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An effective approach for mining mobile user habits.

, , , , и . CIKM, стр. 1677-1680. ACM, (2010)

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Huanhuan Wang

Jingjing Cao

Yang Cao

Yude Cao

Hong Cao

 

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An unsupervised approach to modeling personalized contexts of mobile users., , , , и . Knowl. Inf. Syst., 31 (2): 345-370 (2012)Enhancing recommender systems under volatile userinterest drifts., , , и . CIKM, стр. 1257-1266. ACM, (2009)A habit mining approach for discovering similar mobile users., , , , и . WWW, стр. 231-240. ACM, (2012)Zero-shot Metric Learning., , , , и . IJCAI, стр. 3996-4002. ijcai.org, (2019)Learning to Infer the Status of Heavy-Duty Sensors for Energy-Efficient Context-Sensing., , , и . ACM Trans. Intell. Syst. Technol., 3 (2): 35:1-35:23 (2012)Mining Mobile User Preferences for Personalized Context-Aware Recommendation., , , , , и . ACM Trans. Intell. Syst. Technol., 5 (4): 58:1-58:27 (2014)A vlHMM approach to context-aware search., , , , , , и . ACM Trans. Web, 7 (4): 22:1-22:38 (2013)Towards context-aware search by learning a very large variable length hidden markov model from search logs., , , , и . WWW, стр. 191-200. ACM, (2009)Towards Personalized Context-Aware Recommendation by Mining Context Logs through Topic Models., , , , и . PAKDD (1), том 7301 из Lecture Notes in Computer Science, стр. 431-443. Springer, (2012)Exploiting enriched contextual information for mobile app classification., , , , и . CIKM, стр. 1617-1621. ACM, (2012)