Agent-community-based peer-to-peer information retrieval and its evaluation

2006 ◽  
Vol 37 (13) ◽  
pp. 1-10 ◽  
Author(s):  
Tsunenori Mine ◽  
Akihiro Kogo ◽  
Makoto Amamiya
Keyword(s):  
Information Retrieval ◽  
Peer To Peer ◽  
Community Based

ACP2P: Agent Community Based Peer-to-Peer Information Retrieval

2005 ◽  
pp. 62-73 ◽  
Author(s):  
Tsunenori Mine ◽  
Daisuke Matsuno ◽  
Akihiro Kogo ◽  
Makoto Amamiya
Keyword(s):  
Information Retrieval ◽  
Peer To Peer ◽  
Community Based

scholarly journals Agent Community based Peer-to-Peer Information Retrieval

2004 ◽  
Vol 19 ◽  
pp. 421-428 ◽  
Author(s):  
Tsunenori Mine ◽  
Daisuke Matsuno ◽  
Makoto Amamiya
Keyword(s):  
Information Retrieval ◽  
Peer To Peer ◽  
Community Based

Spatial Effect of Crime on Peer-to-Peer Lodging Performance

2021 ◽  
pp. 004728752110082
Author(s):  
Yu-Hua Xu ◽  
Lori Pennington-Gray ◽  
Jinwon Kim
Keyword(s):  
Peer To Peer ◽  
Spatial Effect ◽  
Econometric Models ◽  
Spatial Econometric ◽  
Community Based ◽  
Negatively Associated ◽  
Business Operations ◽  
Spatial Econometric Models ◽  
Crime Types ◽  
Social Uncertainty

Safety is a major factor impacting consumers’ participation in peer-to-peer (P2P) economies. Using spatial econometric models, this study examined crime effects on the performance (RevPAR) of P2P lodgings at three spatial ranges: property, community, and destination level. The performance of P2P lodgings is negatively associated with crime densities, while the degree of the association varies by crime types and room types. Crime can “spill over” to the neighborhood and have the strongest impact at the community level, followed by the destination level and the property level. The study provides a way to understand tourism risks using criminology theories and the concept of social uncertainty. Empirically, the study provides implications to the governance of community-based lodging business. We suggest that the effect of crime on P2P lodging performance was more conditioned by the safety environment in its neighborhood and the whole destination, rather than individual business operations.

A Scalable Peer-to-Peer System for Music Information Retrieval

2004 ◽  
Vol 28 (2) ◽  
pp. 24-33 ◽  
Author(s):  
George Tzanetakis ◽  
Jun Gao ◽  
Peter Steenkiste
Keyword(s):  
Information Retrieval ◽  
Music Information Retrieval ◽  
Peer To Peer ◽  
Music Information
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