Personalized Information Recommendation Model Based on Attention–Emotion Cooperation

doi:10.13190/jbupt.2006s2.183.307

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2006, Vol. 29 ›› Issue (s2): 183-187.doi: 10.13190/jbupt.2006s2.183.307

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Personalized Information Recommendation Model Based on Attention–Emotion Cooperation

WANG Cong1, TU Xu-yan1 , LIU Jia2

1.Center for Intelligence Science and Technology Research, Beijing University of Posts and Telecommunications, Beijing 100876, China; 2. State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China

Received:2006-09-01 Revised:1900-01-01 Online:2006-11-30 Published:2006-11-30
Contact: WANG Cong

Abstract

Abstract:

Based on the analysis of the attention, emotion and their relationship, a model of attention-emotion cooperation was presented, which stimulated the selective attention by emotion. By considering the attention, emotion of the user and the semantic of information comprehensively in the service of Beijing traveling information recommendation, the personalized information recommendation model based on attention–emotion cooperation was proposed. By adding the emotion effects to the recommendation model, the personalized information recommendation based on attention–emotion cooperation integrated all of the information, made the information presentation suitable to the user’s selective attention, and provided a new direction of the personalized information recommendation and human-machine interaction.

Key words: attention, emotion, cooperation, semantic;personalized information recommendation

CLC Number:

TN929.53

WANG Cong1, TU Xu-yan1 , LIU Jia2

. Personalized Information Recommendation Model Based on Attention–Emotion Cooperation[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2006, 29(s2): 183-187.

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Personalized Information Recommendation Model Based on Attention–Emotion Cooperation

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