混合使用者導向及內容關聯導向之數位內容推薦技術

User and Content-based Hybrid Recommendation Technique for Digital Content

吳欣怡(Shin-Yi Wu) ； 蕭宇翔(Yu-Hsiang Hsiao)

《電腦與通訊》 137期 (2011/02) Pp. 105-112

https://doi.org/10.29917/CCLTJ.201102.0015

摘要

隨著數位閱讀時代的來臨，數位內容平台也相繼誕生。由於數位閱讀載具的限制，數位內容使用者對於智慧化、個人化的需求也隨著提昇。本文提出一個融合使用者導向分析及內容關聯導向分析的個人化數位內容推薦技術。數位內容平台（如：電子書城）透過呼叫個人化推薦引擎，提供個人化搜尋或推薦服務。本文所提之個人化數位內容推薦技術考量數位內容之內容關聯性以及使用者的偏好，讓使用者能夠快速搜尋到其所感興趣的內容，或獲得其感興趣的推薦項目。

關鍵字

數位內容 ； 電子書 ； 個人化推薦 ； 內容關聯分析 ； 使用者偏好關聯分析

並列摘要

With the coming of digital reading era, digital content platforms have also being emerging. Because of the limitation of reading devices, the need of intelligent and personalized services for digital content users is increasing. This paper presents a personalized recommendation technique considering user-based analysis and content-based analysis for digital content. A digital content platform (ex. e-book store) can provide personalized search services or personalized recommendation services by requesting our personalized recommendation engine. The proposed personalized recommendation technique takes the digital content association and user preference into consideration. Based on this recommendation mechanism, users can find the digital contents or get recommended items which they are interested in more easily.

並列關鍵字

Digital Content ； e-book ； Personalized Recommendation ； Content Association Analysis ； User Preference Correlation Analysis