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    1
    A Recommendation System for TV Shows Based on User Preference Mining
    • Department of Computer Science and Information Engineering /110/ Master
    • Author: Chao-Wei Cheng   Advisor: Bi-Ru Dai
    • Unable to find a preferred TV show to watch while watching TV is an annoying problem. Unlike YouTub…
    • Clicks: 628  Downloads: 0 
    • Full text public date 2032/09/29 (Intranet public)
    • Full text public date This full text is not authorized to be published. (Internet public)
    • Full text public date 2120/09/29 (National library)

    2
    Collaborative Filtering with Multiple Data Sources using Ensemble Neural Networks for Recommender System
    • Department of Industrial Management /111/ Master
    • Author: Nattapat Kongsuwan   Advisor: Ren-Jieh Kuo
    • As the digital age progresses, with information technology evolving and people's lifestyles changin…
    • Clicks: 706  Downloads: 0 
    • Full text public date 2028/06/27 (Intranet public)
    • Full text public date 2028/06/27 (Internet public)
    • Full text public date 2028/06/27 (National library)

    3
    A Content-Based Recommender System with Consideration of Repeat Purchase Behavior
    • Department of Industrial Management /108/ Master
    • Author: Hong-Ruei Cheng   Advisor: Ren-Jieh Kuo
    • In recent years, e-commerce is growing at an unprecedented rate all over the globe. With the increa…
    • Clicks: 767  Downloads: 0 
    • Full text public date 2025/06/08 (Intranet public)
    • Full text public date 2025/06/08 (Internet public)
    • Full text public date 2025/06/08 (National library)

    4
    Enhancing Knowledge-Aware Recommendations with Rationale-based Attentive Masked Variational Autoencoders

    5
    Fully Content-based Movie Recommender System with Feature Extraction Using Neural Network
    • Department of Computer Science and Information Engineering /104/ Master
    • Author: Hung-Wei Chen   Advisor: Yi-Leh Wu
    • In recent year, movie industry is getting prosper. There are hundreds of movie released every year.…
    • Clicks: 600  Downloads: 1 
    • Full text public date 2021/07/12 (Intranet public)
    • Full text public date This full text is not authorized to be published. (Internet public)
    • Full text public date This full text is not authorized to be published. (National library)

    6
    Improving Rating Prediction by Using Hierarchical Structure with Tags
    • Department of Computer Science and Information Engineering /101/ Master
    • Author: Bo-ru Wu   Advisor: Bi-ru Dai
    • Tagging system is generally used in most websites. It allows user giving a label to an object with …
    • Clicks: 798  Downloads: 0 
    • Full text public date 2018/08/05 (Intranet public)
    • Full text public date This full text is not authorized to be published. (Internet public)
    • Full text public date This full text is not authorized to be published. (National library)
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