• A conversational framework for mulitple modalities 

      Henriksen, Rune; Mosand, Sinde E. (Bachelor thesis, 2022)
      This paper is concerned with creating conversations around the ECIR conference with multiple modalities. We use a Furhat robot from Furhat robotics to have a physical presence and handle voice. Rasa addresses the AI component ...
    • A conversational framework for multiple modalities 

      Henriksen, Rune; Mosand, Sindre (Bachelor thesis, 2022)
      This paper is concerned with creating conversations around the ECIR conference with multiple modalities. We use a Furhat robot from Furhat robotics to have a physical presence and handle voice. Rasa addresses the AI component ...
    • A Conversational Recommender Skill for Conference Content 

      Havn-Sørensen, Sander; Thu Dørheim, Eyvinn (Bachelor thesis, 2022)
      Conversational information access systems aim to assist users in task-oriented exchanges of information in a conversational manner. Supporting multiple user goals, such as informational search, recommendation and exploratory ...
    • Generating Usage-related Questions for Preference Elicitation in Conversational Recommender Systems 

      Kostric, Ivica; Balog, Krisztian; Radlinski, Filip (Journal article, 2023)
      A key distinguishing feature of conversational recommender systems over traditional recommender systems is theirability to elicit user preferences using natural language. Currently, the predominant approach to preference ...
    • Soliciting User Preferences in Conversational Recommender Systems via Usage-related Questions 

      Kostric, Ivica (Master thesis, 2021)
      Conversational Recommender Systems are recommender systems that utilize multi-turn interactions in order to help users find items of interest. Their advantage over traditional, one-shot recommender systems lies in their ...