Exploring the Best Fit Recommendation Services in Different E-Commerce Scenarios

Thesis

Exploring the Best Fit Recommendation Services in Different E-Commerce Scenarios

Chao, Pei Ju

Masters, 國立清華大學, 服務科學研究所

2015

Abstract

各人化

推薦

資源適配理論

複雜度

熟悉度

外部資訊

Personalization

Recommendation

Resource Matching Theory

Complexity

Familiarity

External Information

因申請專利緣故，資料延後公開

Related links

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Details

Title: Exploring the Best Fit Recommendation Services in Different E-Commerce Scenarios
Translated title: Exploring the Best Fit Recommendation Services in Different E-Commerce Scenarios
Creators: Chao, Pei Ju
Contributors: Hsu, Pei Fang (Advisor)
Awarding Institution: 國立清華大學, 服務科學研究所; Masters
Theses and Dissertations: Masters, 國立清華大學, 服務科學研究所
Language: English
Resource Type: Thesis
Date published: 2016