Predicting User's Browsing Tendency During Holidays by Matrix Factorization based Multi-objective Method
碩士 === 國立中央大學 === 資訊工程學系 === 106 === It is reported that sales by e-commerce companies were greater than usual during shopping holidays and festivals. However, based on users’ browsing logs, we found that not all users visit e-commerce websites more often than they normally do during holidays. There...
Main Authors: | Guo-Jhen Bai, 白國臻 |
---|---|
Other Authors: | Hung-Hsuan Chen |
Format: | Others |
Language: | zh-TW |
Published: |
2018
|
Online Access: | http://ndltd.ncl.edu.tw/handle/3ank36 |
Similar Items
-
Predicting Users' Demographic Information and Personality Through Browsing History
by: Cheng-You Lien, et al.
Published: (2018) -
Predicting Online User Purchase Behavior Based on Browsing History
by: Chu, Yung-Hui, et al.
Published: (2018) -
The Prediction Model of Users'' Browsing Behavior for Hierarchy Web Site
by: Yu-Hsiang Fu, et al.
Published: (2009) -
Predicting Users’ Gender Attributes from Browsing Data Analysis
by: Ying-Yeh Lee, et al.
Published: (2015) -
The effects of browsing mode and impulse-buying tendency on impulsive online shopping behavior
by: WU, YI-HUA, et al.
Published: (2019)