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These works take into account the time dimension to reveal users\u2019 preferences over time. However, few works exploit adequately the information that is hidden inside user sessions. User sessions include a list of user interactions with items within a short period of time such as 30 min, and can reveal her very last intentions. In this paper, we combine intra- with inter-session item transition probabilities to reveal the short- and long-term intentions of individuals. Thus, we are able to better capture the similarities among items that are co-selected inside a user session but also within any two consecutive sessions. We have evaluated experimentally our method and compare it against state-of-the-art algorithms on three real-life datasets. We demonstrate the superiority of our method over its competitors.<\/jats:p>","DOI":"10.1007\/s10791-022-09415-w","type":"journal-article","created":{"date-parts":[[2022,9,28]],"date-time":"2022-09-28T20:02:32Z","timestamp":1664395352000},"page":"461-480","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Sequence-aware news recommendations by combining intra- with inter-session user information"],"prefix":"10.1007","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0685-3568","authenticated-orcid":false,"given":"Panagiotis","family":"Symeonidis","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dmitry","family":"Chaltsev","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chemseddine","family":"Berbague","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Markus","family":"Zanker","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,9,28]]},"reference":[{"key":"9415_CR1","doi-asserted-by":"crossref","unstructured":"An, M., Wu, F., Wu, C., Zhang, K., Liu, Z., & Xie, X. (2019). Neural news recommendation with long-and short-term user representations. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp. 336\u2013345.","DOI":"10.18653\/v1\/P19-1033"},{"key":"9415_CR2","doi-asserted-by":"publisher","unstructured":"Chen, S., Moore, J.L., Turnbull, D., & Joachims, T. (2012). Playlist prediction via metric embedding, In The 18th ACM International Conference on Knowledge Discovery and Data Mining, KDD\u201912, Beijing, China, ACM, pp. 714\u2013722. https:\/\/doi.org\/10.1145\/2339530.2339643","DOI":"10.1145\/2339530.2339643"},{"key":"9415_CR3","doi-asserted-by":"crossref","unstructured":"Das, A.S., Datar, M., Garg, A., & Rajaram, S. (2007). 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