Dynamic Circle Recommendation: A Probabilistic Model
學年 102
學期 2
發表日期 2014-05-13
作品名稱 Dynamic Circle Recommendation: A Probabilistic Model
作品名稱(其他語言)
著者 Chou, Fan-Kai; Chiang, Meng-Fen; Chen, Yi-Cheng; Peng, Wen-Chih
作品所屬單位 淡江大學資訊工程學系
出版者 Springer
會議名稱 The 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2014)
會議地點 Tainan, Taiwan
摘要 This paper presents a novel framework for dynamic circle recommendation for a query user at a given time point from historical communication logs. We identify the fundamental factors that govern interactions and aim to automatically form dynamic circle for scenarios, such as, who should I dial to in the early morning? whose mail would I reply first at midnight? We develop a time-sensitive probabilistic model (TCircleRank) that not only captures temporal tendencies between the query user and candidate friends but also blends frequency and recency into group formation. We also utilize the model to support two types of dynamic circle recommendation: Seedset Generation: single-interaction suggestion and Circle Suggestion: multiple interactions suggestion. We further present approaches to infer relevant time interval in determining circles for a query user at a given time. Experimental results on Enron dataset, Call Detail Records and Reality Mining Data prove the effectiveness of dynamic circle recommendation using TCircleRank.
關鍵字 Recommendation;Probabilistic Model
語言 en
收錄於 EI
會議性質 國際
校內研討會地點
研討會時間 20140513~20140516
通訊作者 Meng-Fen Chiang
國別 TWN
公開徵稿 Y
出版型式 電子版
出處 The 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2014), pp.25-37
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