[1]王显飞 陈梅 李小天.基于约束的旅游推荐系统的研究与设计[J].计算机技术与发展,2012,(02):141-145.
 WANG Xian-fei,CHEN Mei,LI Xiao-tian.Research and Design of Constraint-Based Travel Recommendation System[J].,2012,(02):141-145.
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基于约束的旅游推荐系统的研究与设计()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2012年02期
页码:
141-145
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Research and Design of Constraint-Based Travel Recommendation System
文章编号:
1673-629X(2012)02-0141-05
作者:
王显飞 陈梅 李小天
贵州大学计算机科学与信息学院
Author(s):
WANG Xian-feiCHEN MeiLI Xiao-tian
College of Computer Science and Information,Guizhou University
关键词:
旅游推荐系统基于约束的推荐约束满足问题个性化
Keywords:
travel recommendation system constraint-based recommendation constraint satisfaction problem personalization
分类号:
TP302.1
文献标志码:
A
摘要:
针对旅游领域的特点和传统推荐技术的应用局限性,提出一种基于约束的旅游推荐系统的设计方案,并对系统的推荐引擎进行了详细设计。系统通过可视化的知识获取工具高效地获取旅游领域知识、推荐规则、个性化规则等知识,使用交互&个性化代理以会话式的交互方式逐步地启发用户的偏好和需要,利用多属性效用理论对推荐结果进行排序。相比传统的推荐方法,利用基于约束的推荐技术,能够为用户提供更加准确、个性化的旅游推荐服务
Abstract:
Aiming to the characteristics of the tourism domain and the application limitations of the traditional recommendation technologies,propose a constraint-based travel recommendation system design,and the recommendation engine of this system was designed in detail.In this system,the tourism domain knowledge,recommendation rules,personalization rules and other knowledge were acquired through the visual knowledge acquisition tools,make use of the interaction personalization agent to elicit the user's preferences and requirements by the conversational interactive approach.Multi-attribute utility theory was employed to rank the recommended results.Compared to the traditional recommendation methods,the use of constraint-based recommendation technology can provide more accurate,personalized travel recommendation service

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备注/Memo

备注/Memo:
教育部“春晖计划”项目王显飞(1987-),男,安徽毫州人,硕士研究生,研究方向为数据库技术与软件工程;陈梅,教授,硕士生导师,研究方向为数据库技术与软件工程
更新日期/Last Update: 1900-01-01