Online news recommendations based on topic modeling and online interest adjustment
Volume: 119, Issue: 8, Pages: 1802 - 1818
Published: Sep 9, 2019
Abstract
Purpose Providing online news recommendations to users has become an important trend for online media platforms, enabling them to attract more users. The purpose of this paper is to propose an online news recommendation system for recommending news articles to users when browsing news on online media platforms. Design/methodology/approach A Collaborative Semantic Topic Modeling (CSTM) method and an ensemble model (EM) are proposed to predict...
Paper Details
Title
Online news recommendations based on topic modeling and online interest adjustment
Published Date
Sep 9, 2019
Volume
119
Issue
8
Pages
1802 - 1818
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