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Analysis of institutional authors

Sanz-Cruzado JAuthorCastells PAuthor

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Proceedings Paper

A simple multi-armed nearest-neighbor bandit for interactive recommendation

Publicated to:RecSys 2019 - 13th ACM Conference on Recommender Systems. 358-362 - 2019-09-10 (), DOI: 10.1145/3298689.3347040

Authors: Sanz-Cruzado J; Castells P; López E

Affiliations

Universidad Autónoma de Madrid - Author

Abstract

© 2019 Copyright is held by the authors. The cyclic nature of the recommendation task is being increasingly taken into account in recommender systems research. In this line, framing interactive recommendation as a genuine reinforcement learning problem, multi-armed bandit approaches have been increasingly considered as a means to cope with the dual exploitation/exploration goal of recommendation. In this paper we develop a simple multi-armed bandit elaboration of neighbor-based collaborative filtering. The approach can be seen as a variant of the nearest-neighbors scheme, but endowed with a controlled stochastic exploration capability of the users' neighborhood, by a parameter-free application of Thompson sampling. Our approach is based on a formal development and a reasonably simple design, whereby it aims to be easy to reproduce and further elaborate upon. We report experiments using datasets from different domains showing that neighbor-based bandits indeed achieve recommendation accuracy enhancements in the mid to long run.

Keywords

Interactive recommendationMulti-armed banditsNearest-neighborsThompson sampling

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

From a relative perspective, and based on the normalized impact indicator calculated from the Field Citation Ratio (FCR) of the Dimensions source, it yields a value of: 8.58, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: Dimensions Jun 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-06-29, the following number of citations:

  • WoS: 15
  • Scopus: 32
  • Google Scholar: 44

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-06-29:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 40 (PlumX).

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (SANZ-CRUZADO PUIG, JAVIER) and Last Author (Lopez E).