| 摘 要: 本文在基于现有的个性化推荐研究基础，提出了用户情境和文本内容组合推荐的方法，并构建了用户兴 趣矩阵模型，设计了一套个性化推荐系统。本系统可以依据移动用户的偏好为用户提供推送服务。该系统由移动端及云 平台服务器构成，移动端对用户信息进行采集，并展示推荐数据；服务器端收集来自移动端的数据，展开数据分析，构 建用户兴趣模型，结合文本处理技术获取推荐内容，推送给移动用户。 |
| 关键词: 文本处理；个性化推荐；情景；兴趣矩阵 |
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中图分类号: TP311
文献标识码: A
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| Model Design of the Personalized Tourism Recommendation System Based on Mobile Terminal |
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CHEN Chuanjing,CHEN Lin
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( Shandong Vocational College of Science and Technology, Weifang 261053, China)
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| Abstract: Based on the previous studies of personalized recommendation,this paper proposes a combined recommendation method of user context and text content,constructs a user interest matrix model,and designs a personalized recommendation system.This system can provide push service for users according to their preferences.The system is composed of mobile terminal and cloud platform server,in which the mobile terminal collects user information and displays recommendation data.The server collects data from mobile terminal,launches data analysis,builds user interest model,obtains recommendation content with text processing technology,and pushes it to mobile users. |
| Keywords: text processing;personalized recommendation;scenario;interest matrix |
