1–20 von 66 Ergebnissen
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    Prick the filter bubble: A novel cross domain recommendation model with adaptive diversity regularization

    Sun, Jianshan / Song, Jian / Jiang, Yuanchun et al. | Online Contents | 2021
    Schlagwörter: Recommendation diversity , Cross-domain recommendation system

    Transport policymaking that accounts for COVID-19 and future public health threats: A PASS approach

    Zhang, Junyi | Elsevier | 2020
    Schlagwörter: Policy recommendation

    When is it beneficial to provide freelance suppliers with choice? A hierarchical approach for peer-to-peer logistics platforms

    Mofidi, Seyed Shahab / Pazour, Jennifer A. | Elsevier | 2019
    Schlagwörter: Recommendation sets

    The value of adaptive menu sizes in peer-to-peer platforms

    Karabulut, Ezgi / Gholizadeh, Fatemeh / Akhavan-Tabatabaei, Raha | Elsevier | 2022
    Schlagwörter: Recommendation sets

    HyResPR: Hybridized Framework for Recommendation of Research Paper Using Semantically Driven Machine Learning Models

    Maddineni, Saketh / Deepak, Gerard / Praveen, S. V. | Springer Verlag | 2023
    Schlagwörter: Hybridized recommendation , Paper recommendation

    Intercity ridesharing to the rescue: Capacity flexibility and price stability of BlaBlaCar during the 2018 French railway strike

    Yeung, Timothy Yu-Cheong / Zhu, Dianzhuo | Elsevier | 2022
    Schlagwörter: Price recommendation

    Integrating Dijkstra’s algorithm into deep inverse reinforcement learning for food delivery route planning

    Liu, Shan / Jiang, Hai / Chen, Shuiping et al. | Elsevier | 2020
    Schlagwörter: Delivery route recommendation

    A blockchain-enabled personalized charging system for electric vehicles

    Li, Xinran / Wang, Wei / Jin, Kun et al. | Elsevier | 2024
    Schlagwörter: Personalized recommendation

    Personalized route recommendation for ride-hailing with deep inverse reinforcement learning and real-time traffic conditions

    Liu, Shan / Jiang, Hai | Elsevier | 2022
    Schlagwörter: Personalized route recommendation

    Decision Support System for Drivers and Passengers: Smartphone-Based Reference Model and Evaluation

    Freier Zugriff
    Alexey Kashevnik / Igor Lashkov | DOAJ | 2018
    Schlagwörter: recommendation

    The relationship between norms, satisfaction and public transport use: A comparison across six European cities using structural equation modelling

    Ingvardson, Jesper Bláfoss / Nielsen, Otto Anker | Elsevier | 2019
    Schlagwörter: Public transport recommendation

    Kelas Cendekia Versi Mobile yang Terintegrasi dengan Sistem Rekomendasi

    Freier Zugriff
    Abdurrahmansyah, Nur Ridho / Ananta Timur, Muhammad Idham | BASE | 2018
    Schlagwörter: Recommendation system

    Users’ recommendation intentions for shared bike services: A social exchange theory perspective

    Ma, Liang / Seydel, John / Zhang, Xin et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: bike-sharing recommendation intentions

    The application of information values and construal level theory for examining low cost carrier advertisements

    Tan, Wee-Kheng / Wang, Wei-Jie | Elsevier | 2020
    Schlagwörter: Recommendation intention

    Understanding users’ negative responses to recommendation algorithms in short-video platforms: a perspective based on the Stressor-Strain-Outcome (SSO) framework

    Ma, Xiumei / Sun, Yongqiang / Guo, Xitong et al. | Online Contents | 2021
    Schlagwörter: Recommendation algorithms

    SVR Recommendation Algorithm of Civil Aviation Auxiliary Service Based on Context-Awareness

    Liu, Haohan / Zhang, Hongli / Hui, Kanghua et al. | Springer Verlag | 2016
    Schlagwörter: Context-aware recommendation , Auxiliary service of civil aviation recommendation

    Individual Predictive Maintenance Approach for Diesel Engines in Rail Vehicles

    Engbers, Hendrik / Leohold, Simon / Freitag, Michael | Springer Verlag | 2020
    Schlagwörter: Algorithm recommendation

    Design of electronic-commerce recommendation systems based on outlier mining

    Xia, Huosong / Wei, Xiang / An, Wuyue et al. | Online Contents | 2020
    Schlagwörter: Recommendation system