TY - GEN
T1 - Mining same-taste users with common preference patterns for ubiquitous exhibition navigation
AU - Wu, Shin Yi
AU - Cheng, Li Chen
PY - 2012
Y1 - 2012
N2 - In a ubiquitous exhibition, an intelligent navigation service that can provide booths' information, recommend interesting booths and plan touring path is required for both visitors and vendors. The preference mining module is the kernel. This paper proposes a group-based user preference pattern mining method, which can be implemented as a preference mining module in this service. When the visiting traces that imply the preference of users are recorded, the method discovers user preference patterns with high representativeness and high discrimination from the historical visiting logs. According to the discovered model, collaborative recommendation can be accomplished, and then the intelligent navigation service can plan personalized touring path based on the recommendation lists. For demonstrating the performance of the proposed method, we engage some experiments, and then indicate the characteristics of the proposed method.
AB - In a ubiquitous exhibition, an intelligent navigation service that can provide booths' information, recommend interesting booths and plan touring path is required for both visitors and vendors. The preference mining module is the kernel. This paper proposes a group-based user preference pattern mining method, which can be implemented as a preference mining module in this service. When the visiting traces that imply the preference of users are recorded, the method discovers user preference patterns with high representativeness and high discrimination from the historical visiting logs. According to the discovered model, collaborative recommendation can be accomplished, and then the intelligent navigation service can plan personalized touring path based on the recommendation lists. For demonstrating the performance of the proposed method, we engage some experiments, and then indicate the characteristics of the proposed method.
KW - Ubiquitous exhibition
KW - clustering
KW - collaborative recommendation
KW - data mining
KW - user preference pattern
UR - https://www.scopus.com/pages/publications/84863367538
U2 - 10.1007/978-3-642-28493-9_44
DO - 10.1007/978-3-642-28493-9_44
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AN - SCOPUS:84863367538
SN - 9783642284922
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 416
EP - 425
BT - Intelligent Information and Database Systems - 4th Asian Conference, ACIIDS 2012, Proceedings
T2 - 4th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2012
Y2 - 19 March 2012 through 21 March 2012
ER -