What cuisine do you like? - Improving dining preference prediction through physical social locations

James She; Anna Vassilovski; Alvin Hon

doi:10.1109/GreenCom.2012.72

What cuisine do you like? - Improving dining preference prediction through physical social locations

James She^*, Anna Vassilovski, Alvin Hon

^*Corresponding author for this work

Hong Kong University of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

Social behaviors such as dining preferences are inextricably linked with physical social locations (e.g., home, work, and hangout location), rather than just due to the personal interests/cultures and influences from social peers. With the uses of location-based services in online social networks over smartphones, such physical social locations are easily available as an effective alternative to infer dining preferences. Results show that the prediction of individual dining preferences using physical social locations outperforms the common approaches simply using social information from peers.

Original language	English
Title of host publication	Proceedings - 2012 IEEE Int. Conf. on Green Computing and Communications, GreenCom 2012, Conf. on Internet of Things, iThings 2012 and Conf. on Cyber, Physical and Social Computing, CPSCom 2012
Pages	454-457
Number of pages	4
DOIs	https://doi.org/10.1109/GreenCom.2012.72
Publication status	Published - 2012
Externally published	Yes
Event	2012 IEEE International Conference on Green Computing and Communications, GreenCom 2012, 2012 IEEE International Conference on Internet of Things, iThings 2012 and 5th IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2012 - Besancon, France Duration: 20 Nov 2012 → 23 Nov 2012

Publication series

Name	Proceedings - 2012 IEEE Int. Conf. on Green Computing and Communications, GreenCom 2012, Conf. on Internet of Things, iThings 2012 and Conf. on Cyber, Physical and Social Computing, CPSCom 2012

Conference

Conference	2012 IEEE International Conference on Green Computing and Communications, GreenCom 2012, 2012 IEEE International Conference on Internet of Things, iThings 2012 and 5th IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2012
Country/Territory	France
City	Besancon
Period	20/11/12 → 23/11/12

Keywords

Inference
Physical social locations
Social computing

Access to Document

10.1109/GreenCom.2012.72

Cite this

She, J., Vassilovski, A., & Hon, A. (2012). What cuisine do you like? - Improving dining preference prediction through physical social locations. In Proceedings - 2012 IEEE Int. Conf. on Green Computing and Communications, GreenCom 2012, Conf. on Internet of Things, iThings 2012 and Conf. on Cyber, Physical and Social Computing, CPSCom 2012 (pp. 454-457). Article 6468351 (Proceedings - 2012 IEEE Int. Conf. on Green Computing and Communications, GreenCom 2012, Conf. on Internet of Things, iThings 2012 and Conf. on Cyber, Physical and Social Computing, CPSCom 2012). https://doi.org/10.1109/GreenCom.2012.72

She, James ; Vassilovski, Anna ; Hon, Alvin. / What cuisine do you like? - Improving dining preference prediction through physical social locations. Proceedings - 2012 IEEE Int. Conf. on Green Computing and Communications, GreenCom 2012, Conf. on Internet of Things, iThings 2012 and Conf. on Cyber, Physical and Social Computing, CPSCom 2012. 2012. pp. 454-457 (Proceedings - 2012 IEEE Int. Conf. on Green Computing and Communications, GreenCom 2012, Conf. on Internet of Things, iThings 2012 and Conf. on Cyber, Physical and Social Computing, CPSCom 2012).

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title = "What cuisine do you like? - Improving dining preference prediction through physical social locations",

abstract = "Social behaviors such as dining preferences are inextricably linked with physical social locations (e.g., home, work, and hangout location), rather than just due to the personal interests/cultures and influences from social peers. With the uses of location-based services in online social networks over smartphones, such physical social locations are easily available as an effective alternative to infer dining preferences. Results show that the prediction of individual dining preferences using physical social locations outperforms the common approaches simply using social information from peers.",

keywords = "Inference, Physical social locations, Social computing",

author = "James She and Anna Vassilovski and Alvin Hon",

year = "2012",

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language = "English",

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series = "Proceedings - 2012 IEEE Int. Conf. on Green Computing and Communications, GreenCom 2012, Conf. on Internet of Things, iThings 2012 and Conf. on Cyber, Physical and Social Computing, CPSCom 2012",

pages = "454--457",

booktitle = "Proceedings - 2012 IEEE Int. Conf. on Green Computing and Communications, GreenCom 2012, Conf. on Internet of Things, iThings 2012 and Conf. on Cyber, Physical and Social Computing, CPSCom 2012",

note = "2012 IEEE International Conference on Green Computing and Communications, GreenCom 2012, 2012 IEEE International Conference on Internet of Things, iThings 2012 and 5th IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2012 ; Conference date: 20-11-2012 Through 23-11-2012",

}

She, J, Vassilovski, A & Hon, A 2012, What cuisine do you like? - Improving dining preference prediction through physical social locations. in Proceedings - 2012 IEEE Int. Conf. on Green Computing and Communications, GreenCom 2012, Conf. on Internet of Things, iThings 2012 and Conf. on Cyber, Physical and Social Computing, CPSCom 2012., 6468351, Proceedings - 2012 IEEE Int. Conf. on Green Computing and Communications, GreenCom 2012, Conf. on Internet of Things, iThings 2012 and Conf. on Cyber, Physical and Social Computing, CPSCom 2012, pp. 454-457, 2012 IEEE International Conference on Green Computing and Communications, GreenCom 2012, 2012 IEEE International Conference on Internet of Things, iThings 2012 and 5th IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2012, Besancon, France, 20/11/12. https://doi.org/10.1109/GreenCom.2012.72

What cuisine do you like? - Improving dining preference prediction through physical social locations. / She, James; Vassilovski, Anna; Hon, Alvin.
Proceedings - 2012 IEEE Int. Conf. on Green Computing and Communications, GreenCom 2012, Conf. on Internet of Things, iThings 2012 and Conf. on Cyber, Physical and Social Computing, CPSCom 2012. 2012. p. 454-457 6468351 (Proceedings - 2012 IEEE Int. Conf. on Green Computing and Communications, GreenCom 2012, Conf. on Internet of Things, iThings 2012 and Conf. on Cyber, Physical and Social Computing, CPSCom 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Vassilovski, Anna

AU - Hon, Alvin

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AB - Social behaviors such as dining preferences are inextricably linked with physical social locations (e.g., home, work, and hangout location), rather than just due to the personal interests/cultures and influences from social peers. With the uses of location-based services in online social networks over smartphones, such physical social locations are easily available as an effective alternative to infer dining preferences. Results show that the prediction of individual dining preferences using physical social locations outperforms the common approaches simply using social information from peers.

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KW - Physical social locations

KW - Social computing

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Y2 - 20 November 2012 through 23 November 2012

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She J, Vassilovski A, Hon A. What cuisine do you like? - Improving dining preference prediction through physical social locations. In Proceedings - 2012 IEEE Int. Conf. on Green Computing and Communications, GreenCom 2012, Conf. on Internet of Things, iThings 2012 and Conf. on Cyber, Physical and Social Computing, CPSCom 2012. 2012. p. 454-457. 6468351. (Proceedings - 2012 IEEE Int. Conf. on Green Computing and Communications, GreenCom 2012, Conf. on Internet of Things, iThings 2012 and Conf. on Cyber, Physical and Social Computing, CPSCom 2012). doi: 10.1109/GreenCom.2012.72

What cuisine do you like? - Improving dining preference prediction through physical social locations

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Keywords

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