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 Yoshihiko Suhara

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Bibliometrics: publication history
Average citations per article1.50
Citation Count9
Publication count6
Publication years2008-2017
Available for download6
Average downloads per article209.50
Downloads (cumulative)1,257
Downloads (12 Months)464
Downloads (6 Weeks)72
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1 published by ACM
December 2017 ACM Transactions on Intelligent Systems and Technology (TIST): Volume 9 Issue 3, January 2018
Publisher: ACM
Citation Count: 0
Downloads (6 Weeks): 26,   Downloads (12 Months): 26,   Downloads (Overall): 26

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The understanding and modeling of human purchase behavior in city environment can have important implications in the study of urban economy and in the design and organization of cities. In this article, we study human purchase behavior at the community level and argue that people who live in different communities ...
Keywords: Purchase behavior, credit card transaction, physical environment, social bridge

April 2017 WWW '17: Proceedings of the 26th International Conference on World Wide Web
Publisher: International World Wide Web Conferences Steering Committee
Citation Count: 2
Downloads (6 Weeks): 34,   Downloads (12 Months): 295,   Downloads (Overall): 295

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Depression is a prevailing issue and is an increasing problem in many people's lives. Without observable diagnostic criteria, the signs of depression may go unnoticed, resulting in high demand for detecting depression in advance automatically. This paper tackles the challenging problem of forecasting severely depressed moods based on self-reported histories. ...
Keywords: neural networks, depression, mobile applications

3 published by ACM
February 2017 CSCW '17 Companion: Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing
Publisher: ACM
Citation Count: 0
Downloads (6 Weeks): 4,   Downloads (12 Months): 58,   Downloads (Overall): 58

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Semantic similarity or semantic relatedness are features of natural language that contribute to the challenge machines face when analyzing text. Although semantic relatedness is still a complex challenge only few ground truth data set exist. We argue that the available corpora used to evaluate the performance of natural language tools ...
Keywords: human computation, semantic similarity

4 published by ACM
September 2014 UbiComp '14: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing
Publisher: ACM
Citation Count: 4
Downloads (6 Weeks): 2,   Downloads (12 Months): 53,   Downloads (Overall): 465

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Automatic check-in, which is to identify a user's visited points of interest (POIs) from his or her trajectories, is still an open problem because of positioning errors and the high POI density in small areas. In this study, we propose a probabilistic visited-POI identification method. The method uses a new ...
Keywords: spatial trajectories, hierarchical bayesian model, point of interest, check-in, foursquare

5 published by ACM
May 2013 WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide Web
Publisher: ACM
Citation Count: 1
Downloads (6 Weeks): 3,   Downloads (12 Months): 24,   Downloads (Overall): 162

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Spammers use a wide range of content generation techniques with low quality pages known as content spam to achieve their goals. We argue that content spam must be tackled using a wide range of content quality features. In this paper, we propose novel sentence-level diversity features based on the probabilistic ...
Keywords: spam feature, spam detection, topic model

6 published by ACM
January 2008 ICUIMC '08: Proceedings of the 2nd international conference on Ubiquitous information management and communication
Publisher: ACM
Citation Count: 2
Downloads (6 Weeks): 1,   Downloads (12 Months): 3,   Downloads (Overall): 225

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We propose a method of extracting named entities that are related to a single input word. Focusing on the syntactic dependency relation in sentences, it is reasonable to extract a case element that syntactically depends on the predicate that the input word depends on. In Japanese, though, a word which ...
Keywords: text mining, information extraction, world wide web

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