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Derek Bridge

Possible papers associated with this exact author name in Arrow. This page groups case-insensitive exact name matches and is not a full identity disambiguation profile.

4 papers
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4

TIST Journal 2024 Journal Article

Surveying More Than Two Decades of Music Information Retrieval Research on Playlists

  • Giovanni Gabbolini
  • Derek Bridge

In this article, we present an extensive survey of music information retrieval (MIR) research into music playlists. Our survey spans more than 20 years, and includes around 300 papers about playlists, with over 70 supporting sources. It is the first survey that is self-contained in the sense that it combines all the different MIR research into playlists. It embraces topics such as algorithms for automatic generation, for automatic continuation, for assisting with manual generation, for tagging and for captioning. It looks at manually constructed playlists, both those that are constructed for and by individuals and those constructed in collaboration with others. It covers ground-breaking research into enhancing playlists by cross-fading consecutive songs and by interleaving consecutive songs with speech, similar to what happens on a radio show. Most significantly, it is the first survey that can fully incorporate the paradigm shift that has taken place in the way people consume recorded music: the shift from physical media to music streaming. This has wrought profound changes in the size of music collections available to listeners and thus the algorithms that support the construction, curation and presentation of playlists and the methods adopted by users when they also construct, curate and listen to playlists.

IJCAI Conference 2013 Conference Paper

A Case-Based Solution to the Cold-Start Problem in Group Recommenders

  • Lara Quijano-Sánchez
  • Derek Bridge
  • Belén Díaz-Agudo
  • Juan Antonio Recio-García

In this paper we offer a potential solution to the cold-start problem in group recommender systems. To do so, we use information about previous group recommendation events and copy ratings from a user who played a similar role in some previous group event. We show that copying in this way, i. e. conditioned on groups, is superior to copying nothing and also superior to copying ratings from the most similar user known to the system.

KER Journal 2005 Journal Article

Case-based recommender systems

  • Derek Bridge
  • MEHMET H. GÖKER
  • LORRAINE McGINTY
  • Barry Smyth

We describe recommender systems and especially case-based recommender systems. We define a framework in which these systems can be understood. The framework contrasts collaborative with case-based, reactive with proactive, single-shot with conversational, and asking with proposing. Within this framework, we review a selection of papers from the case-based recommender systems literature, covering the development of these systems over the last ten years.

KER Journal 2005 Journal Article

Retrieval, reuse, revision and retention in case-based reasoning

  • Ramon Lopez de Mantaras
  • David McSherry
  • Derek Bridge
  • David Leake
  • Barry Smyth
  • Susan Craw
  • Boi Faltings
  • Mary Lou Maher

Case-based reasoning (CBR) is an approach to problem solving that emphasizes the role of prior experience during future problem solving (i.e., new problems are solved by reusing and if necessary adapting the solutions to similar problems that were solved in the past). It has enjoyed considerable success in a wide variety of problem solving tasks and domains. Following a brief overview of the traditional problem-solving cycle in CBR, we examine the cognitive science foundations of CBR and its relationship to analogical reasoning. We then review a representative selection of CBR research in the past few decades on aspects of retrieval, reuse, revision and retention.

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