Sökning: "collaborative filtering"

Hittade 5 avhandlingar innehållade orden collaborative filtering.

  1. 1. Algorithmic and Ethical Aspects of Recommender Systems in e-Commerce

    Författare :Dimitris Paraschakis; Jan Persson; Malmö universitet; []
    Nyckelord :recommender systems; e-commerce; recommendation ethics; collaborative filtering; thompson sampling; multi-arm bandits; reinforcement learning;

    Sammanfattning : Recommender systems have become an integral part of virtually every e-commerce application on the web. These systems enable users to quickly discover relevant products, at the same time increasing business value. Over the past decades, recommender systems have been modeled using numerous machine learning techniques. LÄS MER

  2. 2. Algorithms and Representations for Personalised Information Access

    Författare :Rickard Cöster; Lars Asker; Haym Hirsh; Stockholms universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; Computer science; Datavetenskap;

    Sammanfattning : Personalised information access systems use historical feedback data, such as implicit and explicit ratings for textual documents and other items, to better locate the right or relevant information for individual users.Three topics in personalised information access are addressed: learning from relevance feedback and document categorisation by the use of concept-based text representations, the need for scalable and accurate algorithms for collaborative filtering, and the integration of textual and collaborative information access. LÄS MER

  3. 3. On weighted egocentric graphs and social group communication

    Författare :Juwel Rana; Luleå tekniska universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Distribuerade datorsystem; Mobile and Pervasive Computing;

    Sammanfattning : Electronic communication has a profound impact on our society, where for instance social media now is almost ubiquitously used to share information. This has led to several major challenges, including how to overcome information overload and privacy concerns, how to utilize social context based on multiple data sources from both the virtual and physical worlds, and subsequently how to improve group communication. LÄS MER

  4. 4. Non-Gaussian Statistical Modelsand Their Applications

    Författare :Zhanyu Ma; Arne Leijon; Cédric Févotte; KTH; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; NATURVETENSKAP;

    Sammanfattning : Statistical modeling plays an important role in various research areas. It provides away to connect the data with the statistics. Based on the statistical properties of theobserved data, an appropriate model can be chosen that leads to a promising practicalperformance. LÄS MER

  5. 5. Dynamic Optimization for Agent-Based Systems and Inverse Optimal Control

    Författare :Yibei Li; Xiaoming Hu; Per Enqvist; Yishao Zhou; KTH; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Inverse optimal control; formation control; differential game; credit scoring; Matematik; Mathematics;

    Sammanfattning : This dissertation is concerned with three problems within the field of optimization for agent--based systems. Firstly, the inverse optimal control problem is investigated for the single-agent system. Given a dynamic process, the goal is to recover the quadratic cost function from the observation of optimal control sequences. LÄS MER