{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T21:46:44Z","timestamp":1780609604415,"version":"3.54.1"},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2020,8,6]],"date-time":"2020-08-06T00:00:00Z","timestamp":1596672000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,8,6]],"date-time":"2020-08-06T00:00:00Z","timestamp":1596672000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["User Model User-Adap Inter"],"published-print":{"date-parts":[[2020,9]]},"DOI":"10.1007\/s11257-020-09274-4","type":"journal-article","created":{"date-parts":[[2020,8,6]],"date-time":"2020-08-06T10:03:04Z","timestamp":1596708184000},"page":"609-616","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":37,"title":["Research directions in session-based and sequential recommendation"],"prefix":"10.1007","volume":"30","author":[{"given":"Dietmar","family":"Jannach","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bamshad","family":"Mobasher","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shlomo","family":"Berkovsky","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,8,6]]},"reference":[{"key":"9274_CR1","doi-asserted-by":"crossref","unstructured":"Berkovsky, S., Taib, R., Conway, D.: How to recommend? User trust factors in movie recommender systems. In: Proceedings of the 22nd International Conference on Intelligent User Interfaces (IUI\u201917), pp. 287\u2013300 (2017)","DOI":"10.1145\/3025171.3025209"},{"key":"9274_CR2","unstructured":"CIKM: The CIKM Cup 2016 (2016). https:\/\/competitions.codalab.org\/competitions\/11161. Accessed March 2020"},{"key":"9274_CR3","doi-asserted-by":"crossref","unstructured":"Delic, A., Neidhardt, J., Nguyen, T.N., Ricci, F., Rook, L., Werthner, H., Zanker, M.: Observing group decision making processes. In: Proceedings of the 10th ACM Conference on Recommender Systems (RecSys\u201916), pp. 147\u2013150 (2016)","DOI":"10.1145\/2959100.2959168"},{"key":"9274_CR4","doi-asserted-by":"crossref","unstructured":"Ekstrand, M.D., Harper, F.M., Willemsen, M.C., Konstan, J.A.: User perception of differences in recommender algorithms. In: Proceedings of the 2014 ACM Conference on Recommender Systems (RecSys\u201914), pp. 161\u2013168 (2014)","DOI":"10.1145\/2645710.2645737"},{"key":"9274_CR5","doi-asserted-by":"crossref","unstructured":"Ferrari Dacrema, M., Cremonesi, P., Jannach, D.: Are we really making much progress? a worrying analysis of recent neural recommendation approaches. In: Proceedings of the 2019 ACM Conference on Recommender Systems (RecSys) (2019)","DOI":"10.1145\/3298689.3347058"},{"key":"9274_CR6","unstructured":"Hadash, S.: Evaluating a Framework for Sequential Group Music Recommendations. Master\u2019s thesis, Eindhoven University of Technology (2019)"},{"key":"9274_CR7","doi-asserted-by":"crossref","unstructured":"Hariri, N., Mobasher, B., Burke, R.: Context-aware music recommendation based on latent topic sequential patterns. In: Proceedings of the Sixth ACM Conference on Recommender Systems (RecSys\u201912), pp. 131 (2012)","DOI":"10.1145\/2365952.2365979"},{"key":"9274_CR8","doi-asserted-by":"crossref","unstructured":"Hidasi, B., Quadrana, M., Karatzoglou, A., Tikk, D.: Parallel recurrent neural network architectures for feature-rich session-based recommendations. In: Proceedings of the 10th ACM Conference on Recommender Systems (RecSys\u201916), pp. 241\u2013248 (2016)","DOI":"10.1145\/2959100.2959167"},{"key":"9274_CR9","doi-asserted-by":"crossref","unstructured":"Jannach, D., Lerche, L., Jugovac, M.: Adaptation and evaluation of recommendations for short-term shopping goals. In: Proceedings of the 9th ACM Conference on Recommender Systems (RecSys\u201915), pp. 211\u2013218 (2015)","DOI":"10.1145\/2792838.2800176"},{"issue":"3\u20135","key":"9274_CR10","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1007\/s11257-017-9194-1","volume":"27","author":"D Jannach","year":"2017","unstructured":"Jannach, D., Ludewig, M., Lerche, L.: Session-based item recommendation in e-commerce: On short-term intents, reminders, trends, and discounts. User Model. User Adapt. Interact. 27(3\u20135), 351\u2013392 (2017)","journal-title":"User Model. User Adapt. Interact."},{"key":"9274_CR11","doi-asserted-by":"crossref","unstructured":"Kamehkhosh, I., Jannach, D.: User perception of next-track music recommendations. In: Proceedings of the 2017 Conference on User Modeling Adaptation and Personalization (UMAP\u201917), pp. 113\u2013121 (2017)","DOI":"10.1145\/3079628.3079668"},{"key":"9274_CR12","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1007\/s11257-011-9118-4","volume":"22","author":"BP Knijnenburg","year":"2012","unstructured":"Knijnenburg, B.P., Willemsen, M.C., Gantner, Z., Soncu, H., Newell, C.: Explaining the user experience of recommender systems. User Model. User Adapt. Interact. 22, 441\u2013504 (2012)","journal-title":"User Model. User Adapt. Interact."},{"key":"9274_CR13","unstructured":"Lacic, E., Reiter-Haas, M., Kowald, D., Dareddy, M.R., Cho, J., Lex, E.: Encoding user sessions for online job recommendations. In: User Modeling and User-Adapted Interaction (2020)"},{"key":"9274_CR14","doi-asserted-by":"crossref","unstructured":"Li, J., Ren, P., Chen, Z., Ren, Z., Lian, T., Ma, J.: Neural attentive session-based recommendation. In: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management (CIKM\u201917), pp. 1419\u20131428 (2017)","DOI":"10.1145\/3132847.3132926"},{"key":"9274_CR15","doi-asserted-by":"crossref","unstructured":"Ludewig, M., Jannach, D.: User-centric evaluation of session-based recommendations for an automated radio station. In: Proceedings of the 2019 ACM Conference on Recommender Systems (RecSys\u201919), pp. 516\u2013520 (2019)","DOI":"10.1145\/3298689.3347046"},{"key":"9274_CR16","doi-asserted-by":"crossref","unstructured":"Ludewig, M., Mauro, N., Latifi, S., Jannach, D.: Performance comparison of neural and non-neural approaches to session-based recommendation. In: Proceedings of the 13th ACM Conference on Recommender Systems (RecSys\u201919), pp. 462\u2013466 (2019)","DOI":"10.1145\/3298689.3347041"},{"key":"9274_CR17","unstructured":"Mobasher, B., Dai, H., Luo, T., Nakagawa, M.: Using sequential and non-sequential patterns in predictive web usage mining tasks. In: Proceedings of IEEE International Conference on Data Mining (ICDM\u201902), pp. 669\u2013672 (2019)"},{"key":"9274_CR18","doi-asserted-by":"publisher","first-page":"86884","DOI":"10.1109\/ACCESS.2019.2926074","volume":"7","author":"TM Phuong","year":"2019","unstructured":"Phuong, T.M., Thanh, T.C., Bach, N.X.: Neural session-aware recommendation. IEEE. Access 7, 86884\u201386896 (2019)","journal-title":"IEEE. Access"},{"key":"9274_CR19","doi-asserted-by":"crossref","unstructured":"Pu, P., Chen, L., Hu, R.: A user-centric evaluation framework for recommender systems. In: Proceedings of the 5th ACM Conference on Recommender Systems (RecSys\u201911), pp. 157\u2013164 (2011)","DOI":"10.1145\/2043932.2043962"},{"key":"9274_CR20","doi-asserted-by":"crossref","unstructured":"Quadrana, M., Karatzoglou, A., Hidasi, B., Cremonesi, P.: Personalizing session-based recommendations with hierarchical recurrent neural networks. In: Proceedings of the 2017 ACM Conference on Recommender Systems (RecSys\u201917) (2017)","DOI":"10.1145\/3109859.3109896"},{"key":"9274_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3190616","volume":"54","author":"M Quadrana","year":"2018","unstructured":"Quadrana, M., Cremonesi, P., Jannach, D.: Sequence-aware recommender systems. ACM Comput. Surv. 54, 1\u201336 (2018)","journal-title":"ACM Comput. Surv."},{"key":"9274_CR22","doi-asserted-by":"crossref","unstructured":"Ragno, R., Burges, C.J.C., Herley, C.: Inferring similarity between music objects with application to playlist generation. In: Proceedings of the 7th ACM SIGMM International Workshop on Multimedia Information Retrieval (MIR\u201905), pp. 73\u201380 (2005)","DOI":"10.1145\/1101826.1101840"},{"key":"9274_CR23","doi-asserted-by":"crossref","unstructured":"Rana, A., Bridge, D.: Navigation-by-preference: a new conversational recommender with preference-based feedback. In: Proceedings of the 25th International Conference on Intelligent User Interfaces (IUI\u201920), pp. 155\u2013165 (2020)","DOI":"10.1145\/3377325.3377496"},{"key":"9274_CR24","doi-asserted-by":"crossref","unstructured":"Rendle, S., Freudenthaler, C., Schmidt-Thieme, L.: Factorizing personalized Markov chains for next-basket recommendation. In: Proceedings of the 2010 World Wide Web Conference (WWW\u201910), pp. 811\u2013820 (2010)","DOI":"10.1145\/1772690.1772773"},{"key":"9274_CR25","doi-asserted-by":"crossref","unstructured":"Resnick, P., Iacovou, N., Suchak, M., Bergstrom, P., Riedl, J.: Grouplens: An open architecture for collaborative filtering of netnews. In: Proceedings of the 1994 ACM Conference on Computer Supported Cooperative Work (CSCW\u201994), pp. 175\u2013186 (1994)","DOI":"10.1145\/192844.192905"},{"key":"9274_CR26","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1007\/1-4020-2148-8_13","volume-title":"Designing Personalized User Experiences in eCommerce, Human-Computer Interaction Series","author":"F Ricci","year":"2004","unstructured":"Ricci, F., Del Missier, F.: Supporting travel decision making through personalized recommendation. In: Karat, C., Blom, J.O., Karat, J. (eds.) Designing Personalized User Experiences in eCommerce, Human-Computer Interaction Series, vol. 5, pp. 231\u2013251. Kluwer, Dordrecht (2004)"},{"issue":"1","key":"9274_CR27","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1007\/s10844-018-0529-0","volume":"54","author":"L Rook","year":"2020","unstructured":"Rook, L., Sabic, A., Zanker, M.: Engagement in proactive recommendations. J. Intell. Inf. Syst. 54(1), 79\u2013100 (2020)","journal-title":"J. Intell. Inf. Syst."},{"key":"9274_CR28","doi-asserted-by":"crossref","unstructured":"S\u00e1nchez, P., Bellog\u00edn, A.: Applying reranking strategies to route recommendation using sequence-aware evaluation. In: User Modeling and User-Adapted Interaction (2020)","DOI":"10.1007\/s11257-020-09258-4"},{"key":"9274_CR29","first-page":"1265","volume":"6","author":"G Shani","year":"2005","unstructured":"Shani, G., Heckerman, D., Brafman, R.I.: An MDP-based recommender system. J. Mach. Learn. Res. 6, 1265\u20131295 (2005)","journal-title":"J. Mach. Learn. Res."},{"key":"9274_CR30","doi-asserted-by":"crossref","unstructured":"Symeonidis, P., Kirjackaja, L., Zanker, M.: Session-aware news recommendations using random walks on time-evolving heterogeneous information networks. In: User Modeling and User-Adapted Interaction (2020)","DOI":"10.1007\/s11257-020-09261-9"},{"key":"9274_CR31","doi-asserted-by":"crossref","unstructured":"Tavakol, M., Brefeld, U.: Factored MDPs for detecting topics of user sessions. In: Proceedings of the 8th ACM Conference on Recommender Systems (RecSys\u201914), pp. 33\u201340 (2014)","DOI":"10.1145\/2645710.2645739"},{"key":"9274_CR32","doi-asserted-by":"crossref","unstructured":"Tran, T.N.T., Atas, M., Felfernig, A., Samer, R., Stettinger, M.: Investigating serial position effects in sequential group decision making. In: Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization (UMAP\u201918), pp. 239\u2013243 (2018)","DOI":"10.1145\/3209219.3209255"},{"issue":"1","key":"9274_CR33","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1287\/isre.2019.0876","volume":"31","author":"J Zhang","year":"2020","unstructured":"Zhang, J., Adomavicius, G., Gupta, A., Ketter, W.: Consumption and performance: understanding longitudinal dynamics of recommender systems via an agent-based simulation framework. Inf. Syst. Res. 31(1), 76\u2013101 (2020)","journal-title":"Inf. Syst. Res."}],"container-title":["User Modeling and User-Adapted Interaction"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11257-020-09274-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11257-020-09274-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11257-020-09274-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,5]],"date-time":"2021-08-05T23:39:31Z","timestamp":1628206771000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11257-020-09274-4"}},"subtitle":["A preface to the special issue"],"short-title":[],"issued":{"date-parts":[[2020,8,6]]},"references-count":33,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2020,9]]}},"alternative-id":["9274"],"URL":"https:\/\/doi.org\/10.1007\/s11257-020-09274-4","relation":{},"ISSN":["0924-1868","1573-1391"],"issn-type":[{"value":"0924-1868","type":"print"},{"value":"1573-1391","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,8,6]]},"assertion":[{"value":"6 August 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}