Sökning: "recommender systems"

Visar resultat 1 - 5 av 13 avhandlingar innehållade orden recommender systems.

1. 1. Dialogue Behavior Management in Conversational Recommender Systems

   Författare :Pontus Wärnestål; Arne Jönsson; Lars Degerstedt; Robert Dale; Linköpings universitet; []
   Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Natural Language Interaction; Dialogue Systems; Recommender Systems; Dialogue Strategy Management; User Modeling; Preference Management; Computational linguistics; Datorlingvistik;

   Sammanfattning : This thesis examines recommendation dialogue, in the context of dialogue strategy design for conversational recommender systems. The purpose of a recommender system is to produce personalized recommendations of potentially useful items from a large space of possible options. LÄS MER

3. 2. Bootstrapping and decentralizing recommender systems

   Författare :Tomas Olsson; Arne Andersson; Uppsala universitet; []
   Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Datalogi; Computing Science;

   Sammanfattning : This thesis consists of three papers on recommender systems.The first paper addresses the problem of making decentralized recommendations using a peer-to-peer architecture. Collaborating recommender agents are connected into a network of neighbors that exchange user recommendations to find new items to recommend. LÄS MER

4. 3. 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

5. 4. Design and Development of Recommender Dialogue Systems

   Författare :Pontus Johansson; Arne Jönsson; Lars Degerstedt; Linköpings universitet; []
   Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Multimodal; PGP; information-providing; dialogue systems; multimodality; Computer science; Datavetenskap;

   Sammanfattning : The work in this thesis addresses design and development of multimodal dialogue recommender systems for the home context-of-use. In the design part, two investigations on multimodal recommendation dialogue interaction in the home context are reported on. LÄS MER

7. 5. Understanding Variability-Aware Analysis in Low-Maturity Variant-Rich Systems

   Författare :Mukelabai Mukelabai; Göteborgs universitet; Göteborgs universitet; Gothenburg University; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Variant-rich Systems; Quality Assurance; Low Maturity Software Systems; Recommender System;

   Sammanfattning : Context: Software systems often exist in many variants to support varying stakeholder requirements, such as specific market segments or hardware constraints. Systems with many variants (a.k.a. LÄS MER