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Previous unexpected recommendation methods only focus on the straightforward relations between current recommendations and user expectations by modeling unexpectedness in the feature space, thus resulting in the loss of accuracy measures to improve unexpectedness performance. In contrast to these prior models, we propose to model unexpectedness in the latent space of user and item embeddings, which allows us to capture hidden and complex relations between new recommendations and historic purchases. In addition, we develop a novel Latent Closure (LC) method to construct a hybrid utility function and provide unexpected recommendations based on the proposed model. Extensive experiments on three real-world datasets illustrate superiority of our proposed approach over the state-of-the-art unexpected recommendation models, which leads to significant increase in unexpectedness measure without sacrificing any accuracy metric under all experimental settings in this article.<\/jats:p>","DOI":"10.1145\/3404855","type":"journal-article","created":{"date-parts":[[2020,9,15]],"date-time":"2020-09-15T16:39:05Z","timestamp":1600187945000},"page":"1-25","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Latent Unexpected Recommendations"],"prefix":"10.1145","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4957-3064","authenticated-orcid":false,"given":"Pan","family":"Li","sequence":"first","affiliation":[{"name":"New York University, Stern School of Business, New York, NY"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexander","family":"Tuzhilin","sequence":"additional","affiliation":[{"name":"New York University, Stern School of Business, New York, NY"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,9,15]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2556195.2556204"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2559952"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2011.15"},{"key":"e_1_2_1_4_1","unstructured":"Gediminas Adomavicius and YoungOk Kwon. 2011. 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