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Several strategies have been proposed, and in most of them some concept of similarity is used as a core part of the approach, either between items or between users. At the same time, Siamese Neural Networks are being used to capture the similarity of items in the image domain, as they are defined as a subtype of Artificial Neural Networks built with (at least two) identical networks that share their weights. In this review, we study the proposals done in the intersection of these two fields, that is, how Siamese Networks are being used for recommendation. We propose a classification that considers different recommendation problems and algorithmic approaches. Some research directions are pointed out to encourage future research. To the best of our knowledge, this paper is the first comprehensive survey that focuses on the usage of Siamese Neural Networks for Recommender Systems.<\/jats:p>","DOI":"10.1007\/s00521-023-08610-0","type":"journal-article","created":{"date-parts":[[2023,5,5]],"date-time":"2023-05-05T14:02:34Z","timestamp":1683295354000},"page":"13941-13953","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":48,"title":["Siamese neural networks in recommendation"],"prefix":"10.1007","volume":"35","author":[{"given":"Nicol\u00e1s","family":"Serrano","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6368-2510","authenticated-orcid":false,"given":"Alejandro","family":"Bellog\u00edn","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,5,5]]},"reference":[{"key":"8610_CR1","unstructured":"Abadi M, Agarwal A, Barham P, et\u00a0al (2015) TensorFlow: large-scale machine learning on heterogeneous systems. https:\/\/www.tensorflow.org\/, software available from tensorflow.org"},{"issue":"1","key":"8610_CR2","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1016\/j.ipm.2022.103115","volume":"60","author":"E Amig\u00f3","year":"2023","unstructured":"Amig\u00f3 E, Deldjoo Y, Mizzaro S et al (2023) A unifying and general account of fairness measurement in recommender systems. 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