CASIA OpenIR  > 模式识别国家重点实验室  > 多媒体计算与图形学
Activity Sensor: Check-In Usage Mining for Local Recommendation
Sang, Jitao1; Mei, Tao2; Xu, Changsheng1
Source PublicationACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY
2015-05-01
Volume6Issue:3
SubtypeArticle
AbstractWhile on the go, people are using their phones as a personal concierge discovering what is around and deciding what to do. Mobile phone has become a recommendation terminal customized for individuals-capable of recommending activities and simplifying the accomplishment of related tasks. In this article, we conduct usage mining on the check-in data, with summarized statistics identifying the local recommendation challenges of huge solution space, sparse available data, and complicated user intent, and discovered observations to motivate the hierarchical, contextual, and sequential solution. We present a point-of-interest (POI) category-transition-based approach, with a goal of estimating the visiting probability of a series of successive POIs conditioned on current user context and sensor context. A mobile local recommendation demo application is deployed. The objective and subjective evaluations validate the effectiveness in providing mobile users both accurate recommendation and favorable user experience.
KeywordDesign Algorithms Performance Location-based Service Local Recommendation Check-in Usage Mining
WOS HeadingsScience & Technology ; Technology
WOS KeywordSYSTEMS
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Information Systems
WOS IDWOS:000355670300013
Citation statistics
Cited Times:17[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/7930
Collection模式识别国家重点实验室_多媒体计算与图形学
Affiliation1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
2.Microsoft Res Asia, Beijing 100080, Peoples R China
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Sang, Jitao,Mei, Tao,Xu, Changsheng. Activity Sensor: Check-In Usage Mining for Local Recommendation[J]. ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY,2015,6(3).
APA Sang, Jitao,Mei, Tao,&Xu, Changsheng.(2015).Activity Sensor: Check-In Usage Mining for Local Recommendation.ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY,6(3).
MLA Sang, Jitao,et al."Activity Sensor: Check-In Usage Mining for Local Recommendation".ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY 6.3(2015).
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