Online Product Recommendation Approach based on Diversity and Cross-domain Analysis of User Preferences
碩士 === 國立交通大學 === 資訊管理研究所 === 104 === The flourishing of the Internet has increasingly promoted the rise of new types of online news websites with e-commerce portals. Combining online news websites with e-commerce can attract more users and create more benefit, which is also an important trend of on...
Main Authors: | Lin, Yu-Chun, 林俞君 |
---|---|
Other Authors: | Liu, Duen-Ren |
Format: | Others |
Language: | en_US |
Published: |
2016
|
Online Access: | http://ndltd.ncl.edu.tw/handle/u3ekh5 |
Similar Items
-
Online Activity Recommendation Approach based on User Preference Analysis and Two-phase Dynamic Adjustment Strategy
by: Huang, Yu-Chun, et al.
Published: (2017) -
Online News Recommendation based on Adjustment of User Interest and Recommendation Diversity
by: Feng, Ya-Ting, et al.
Published: (2019) -
Content-Based Recommendation System for Green Products based on User Preference
by: Syuan-Lun Lin, et al.
Published: (2007) -
User-Oriented Preference Toward a Recommender System
by: Pei-Chun Lin, et al.
Published: (2021-03-01) -
Online Movie Recommendation Approach based on Collaborative Topic Modeling and Cross-Domain Analysis
by: Jian, Ciao-Ting, et al.
Published: (2017)