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Filip Radlinski

5 أوراق في مجموعة PaperMetrix

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أوراق هذا المؤلف

  1. Where Can I Buy a Boulder?

    2016

    People commonly need to purchase things in person, from large garden supplies to home decor. Although modern search systems are very effective at finding online products, little research attention has been paid to helping users …

  2. Towards Conversational Recommender Systems

    2016

    People often ask others for restaurant recommendations as a way to discover new dining experiences. This makes restaurant recommendation an exciting scenario for recommender systems and has led to substantial research in this area. However, …

  3. A Theoretical Framework for Conversational Search

    2017

    This paper studies conversational approaches to information retrieval, presenting a theory and model of information interaction in a chat setting. In particular, we consider the question of what properties would be desirable for a conversational …

  4. Transparent, Scrutable and Explainable User Models for Personalized Recommendation

    2019

    Most recommender systems base their recommendations on implicit or explicit item-level feedback provided by users. These item ratings are combined into a complex user model, which then predicts the suitability of other items. While effective, …

  5. Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences

    2023

    Traditional recommender systems leverage users’ item preference history to recommend novel content that users may like. However, modern dialog interfaces that allow users to express language-based preferences offer a fundamentally different modality for preference input. …