{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,28]],"date-time":"2025-04-28T17:29:12Z","timestamp":1745861352494,"version":"3.37.3"},"reference-count":45,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2019,7,16]],"date-time":"2019-07-16T00:00:00Z","timestamp":1563235200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,7,16]],"date-time":"2019-07-16T00:00:00Z","timestamp":1563235200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100010418","name":"Institute for Information and communications Technology Promotion","doi-asserted-by":"publisher","award":["IITP-2018-2018-0-01405","2016-0-00010-003"],"award-info":[{"award-number":["IITP-2018-2018-0-01405","2016-0-00010-003"]}],"id":[{"id":"10.13039\/501100010418","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Pers Ubiquit Comput"],"published-print":{"date-parts":[[2022,4]]},"DOI":"10.1007\/s00779-019-01252-x","type":"journal-article","created":{"date-parts":[[2019,7,16]],"date-time":"2019-07-16T04:40:13Z","timestamp":1563252013000},"page":"407-416","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Unifying user preference and item knowledge-based similarity models for top-N recommendation"],"prefix":"10.1007","volume":"26","author":[{"given":"Yeongwook","family":"Yang","sequence":"first","affiliation":[]},{"given":"Jaechoon","family":"Jo","sequence":"additional","affiliation":[]},{"given":"Heuiseok","family":"Lim","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,7,16]]},"reference":[{"issue":"6","key":"1252_CR1","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1145\/3145814","volume":"50","author":"D Hooshyar","year":"2018","unstructured":"Hooshyar D, Yousefi M, Lim H (2018) Data-driven approaches to game player modeling: a systematic literature review. ACM Comput Surv (CSUR) 50(6):90","journal-title":"ACM Comput Surv (CSUR)"},{"issue":"6","key":"1252_CR2","doi-asserted-by":"publisher","first-page":"731","DOI":"10.1111\/jcal.12280","volume":"34","author":"D Hooshyar","year":"2018","unstructured":"Hooshyar D, Yousefi M, Wang M, Lim H (2018) A data-driven procedural-content-generation approach for educational games. J Comput Assist Learn 34(6):731\u2013739","journal-title":"J Comput Assist Learn"},{"issue":"1","key":"1252_CR3","doi-asserted-by":"publisher","first-page":"1097","DOI":"10.1007\/s10586-017-0746-2","volume":"21","author":"S Lee","year":"2018","unstructured":"Lee S, Hooshyar D, Ji H, Nam K, Lim H (2018) Mining biometric data to predict programmer expertise and task difficulty. Clust Comput 21(1):1097\u20131107","journal-title":"Clust Comput"},{"issue":"2","key":"1252_CR4","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1007\/s11277-018-5947-3","volume":"105","author":"H Lim","year":"2019","unstructured":"Lim H, Hooshyar D, Ji H, Lee S, Jo J (2019) SmartSenior: automatic content personalization through semi-supervised learning. Wirel Pers Commun 105(2):461\u2013473","journal-title":"Wirel Pers Commun"},{"key":"1252_CR5","doi-asserted-by":"publisher","first-page":"659","DOI":"10.1145\/2487575.2487589","volume-title":"Proceedings of the 19th ACM SIGKDD international conference on knowledge discovery and data mining","author":"S Kabbur","year":"2013","unstructured":"Kabbur S, Ning X, Karypis G (2013) Fism: factored item similarity models for top-n recommender systems. In: Proceedings of the 19th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, New York, pp 659\u2013667"},{"key":"1252_CR6","unstructured":"Pan W, Chen LGBPR (2013) Group preference based Bayesian personalized ranking for one-class collaborative filtering. IJCAI, pp 2691\u20132697"},{"key":"1252_CR7","doi-asserted-by":"publisher","first-page":"394","DOI":"10.1016\/j.ins.2018.12.053","volume":"481","author":"Y Yang","year":"2019","unstructured":"Yang Y, Hooshyar D, Lim HS (2019) GPS: factorized group preference-based similarity models for sparse sequential recommendation. Inf Sci 481:394\u2013411","journal-title":"Inf Sci"},{"key":"1252_CR8","doi-asserted-by":"crossref","unstructured":"Yang Y, Hooshyar D, Jo J, Lim H (2018) A group preference-based item similarity model: comparison of clustering techniques in ambient and context-aware recommender systems. J Ambient Intell Humaniz Comput:1\u20139","DOI":"10.1007\/s12652-018-1039-1"},{"key":"1252_CR9","doi-asserted-by":"crossref","unstructured":"Cheng Y, Yin L, LorSLIM YY Low rank sparse linear methods for top-n recommendations. In: Data mining (ICDM), 2014 IEEE international conference on, 2014. IEEE, Piscataway, pp 90\u201399","DOI":"10.1109\/ICDM.2014.112"},{"key":"1252_CR10","doi-asserted-by":"publisher","first-page":"497","DOI":"10.1109\/ICDM.2011.134","volume-title":"2011 11th IEEE international conference on data mining","author":"X Ning","year":"2011","unstructured":"Ning X, Slim KG (2011) Sparse linear methods for top-n recommender systems. In: 2011 11th IEEE international conference on data mining. IEEE, Piscataway, pp 497\u2013506"},{"key":"1252_CR11","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1145\/192844.192905","volume-title":"Proceedings of the 1994 ACM conference on computer supported cooperative work","author":"P Resnick","year":"1994","unstructured":"Resnick P, Iacovou N, Suchak M, Bergstrom P, Riedl J (1994) GroupLens: an open architecture for collaborative filtering of netnews. In: Proceedings of the 1994 ACM conference on computer supported cooperative work. ACM, New York, pp 175\u2013186"},{"issue":"8","key":"1252_CR12","doi-asserted-by":"publisher","first-page":"1671","DOI":"10.1007\/s00779-012-0601-7","volume":"17","author":"J Chen","year":"2013","unstructured":"Chen J, Zhou X, Jin Q (2013) Recommendation of optimized information seeking process based on the similarity of user access behavior patterns. Pers Ubiquit Comput 17(8):1671\u20131681","journal-title":"Pers Ubiquit Comput"},{"key":"1252_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.ins.2016.11.003","volume":"380","author":"V Kumar","year":"2017","unstructured":"Kumar V, Pujari AK, Sahu SK, Kagita VR, Padmanabhan V (2017) Collaborative filtering using multiple binary maximum margin matrix factorizations. Inf Sci 380:1\u201311","journal-title":"Inf Sci"},{"key":"1252_CR14","doi-asserted-by":"publisher","first-page":"685","DOI":"10.1016\/j.ins.2018.04.004","volume":"467","author":"TV Himabindu","year":"2018","unstructured":"Himabindu TV, Padmanabhan V, Pujari AK (2018) Conformal matrix factorization based recommender system. Inf Sci 467:685\u2013707","journal-title":"Inf Sci"},{"key":"1252_CR15","unstructured":"Breese JS, Heckerman D, Kadie C (1998) Empirical analysis of predictive algorithms for collaborative filtering. In: Proceedings of the fourteenth conference on uncertainty in artificial intelligence. Morgan Kaufmann Publishers Inc., pp 43\u201352"},{"key":"1252_CR16","doi-asserted-by":"crossref","unstructured":"Liang D, Altosaar J, Charlin L, Blei DM (2016) Factorization meets the item embedding: regularizing matrix factorization with item co-occurrence. In: Proceedings of the 10th ACM conference on recommender systems. ACM, pp 59\u201366","DOI":"10.1145\/2959100.2959182"},{"key":"1252_CR17","unstructured":"Lin MM, Dong B, Chu MT (2005) Integer matrix factorization and its application. Tech Rep"},{"key":"1252_CR18","unstructured":"Mnih A, Salakhutdinov RR (2008) Probabilistic matrix factorization. In: Advances in neural information processing systems, pp 1257\u20131264"},{"key":"1252_CR19","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1016\/j.ins.2016.01.083","volume":"345","author":"F Ortega","year":"2016","unstructured":"Ortega F, Hernando A, Bobadilla J, Kang JH (2016) Recommending items to group of users using matrix factorization based collaborative filtering. Inf Sci 345:313\u2013324","journal-title":"Inf Sci"},{"key":"1252_CR20","doi-asserted-by":"crossref","unstructured":"Su X, Khoshgoftaar TM (2009) A survey of collaborative filtering techniques. Adv Artif Intell 2009:1\u201319","DOI":"10.1155\/2009\/421425"},{"issue":"6","key":"1252_CR21","doi-asserted-by":"publisher","first-page":"734","DOI":"10.1109\/TKDE.2005.99","volume":"17","author":"G Adomavicius","year":"2005","unstructured":"Adomavicius G, Tuzhilin A (2005) Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans Knowl Data Eng 17(6):734\u2013749","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"3","key":"1252_CR22","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1007\/s00779-016-0923-y","volume":"20","author":"Y Cheng","year":"2016","unstructured":"Cheng Y, Liu J, Yu X (2016) Online social trust reinforced personalized recommendation. Pers Ubiquit Comput 20(3):457\u2013467","journal-title":"Pers Ubiquit Comput"},{"issue":"2","key":"1252_CR23","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1007\/s00779-016-0985-x","volume":"21","author":"M Hong","year":"2017","unstructured":"Hong M, Jung JJ, Piccialli F, Chianese A (2017) Social recommendation service for cultural heritage. Pers Ubiquit Comput 21(2):191\u2013201","journal-title":"Pers Ubiquit Comput"},{"key":"1252_CR24","unstructured":"Salton G, McGill MJ (1986) Introduction to Modern Information Retrieval, McGraw-Hill, Inc., New York, NY"},{"key":"1252_CR25","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1145\/336597.336662","volume-title":"Proceedings of the fifth ACM conference on digital libraries","author":"RJ Mooney","year":"2000","unstructured":"Mooney RJ, Roy L (2000) Content-based book recommending using learning for text categorization. In: Proceedings of the fifth ACM conference on digital libraries. ACM, New York, pp 195\u2013204"},{"key":"1252_CR26","unstructured":"Van Meteren R, Van Someren M (2000) Using content-based filtering for recommendation. In: Proceedings of the machine learning in the new information age: MLnet\/ECML2000 Workshop, pp 47\u201356"},{"key":"1252_CR27","doi-asserted-by":"crossref","unstructured":"Lang K (1995) Newsweeder: learning to filter netnews. In: Machine learning proceedings 1995. Elsevier, pp 331\u2013339","DOI":"10.1016\/B978-1-55860-377-6.50048-7"},{"key":"1252_CR28","doi-asserted-by":"crossref","unstructured":"Billsus D, Pazzani MJ, Chen J (2000) A learning agent for wireless news access. In: Proceedings of the 5th international conference on intelligent user interfaces. Citeseer, pp 33\u201336","DOI":"10.1145\/325737.325768"},{"key":"1252_CR29","volume-title":"Introduction to recommender systems handbook, RecommenderSystems handbook","author":"R Francesco","year":"2011","unstructured":"Francesco R, Lior R, Bracha S (2011) Introduction to recommender systems handbook, RecommenderSystems handbook. Springer, Amerika Serikat"},{"issue":"1","key":"1252_CR30","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1109\/MIC.2003.1167344","volume":"7","author":"G Linden","year":"2003","unstructured":"Linden G, Smith B, York J (2003) Amazon.com recommendations: item-to-item collaborative filtering. IEEE Internet Comput 7(1):76\u201380","journal-title":"IEEE Internet Comput"},{"key":"1252_CR31","doi-asserted-by":"publisher","first-page":"667","DOI":"10.1145\/1557019.1557094","volume-title":"Proceedings of the 15th ACM SIGKDD international conference on knowledge discovery and data mining","author":"R Pan","year":"2009","unstructured":"Pan R, Scholz M (2009) Mind the gaps: weighting the unknown in large-scale one-class collaborative filtering. In: Proceedings of the 15th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, New York, pp 667\u2013676"},{"key":"1252_CR32","first-page":"1502","volume-title":"Low-rank linear cold-start recommendation from social data","author":"S Sedhain","year":"2017","unstructured":"Sedhain S, Menon AK, Sanner S, Xie L, Braziunas D (2017) Low-rank linear cold-start recommendation from social data. AAAI, Menlo Park, pp 1502\u20131508"},{"issue":"3","key":"1252_CR33","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1177\/0165551517692955","volume":"44","author":"Y Yun","year":"2018","unstructured":"Yun Y, Hooshyar D, Jo J, Lim H (2018) Developing a hybrid collaborative filtering recommendation system with opinion mining on purchase review. J Inf Sci 44(3):331\u2013344","journal-title":"J Inf Sci"},{"key":"1252_CR34","unstructured":"Basu C, Hirsh H, Cohen W (1998) Recommendation as classification: using social and content-based information in recommendation. In: Aaai\/iaai, pp 714\u2013720"},{"key":"1252_CR35","unstructured":"Claypool M, Gokhale A, Miranda T, Murnikov P, Netes D, Sartin M (1999) Combing content-based and collaborative filters in an online newspaper. In In Proceedings of ACM SIGIR Workshop on Recommender Systems"},{"key":"1252_CR36","unstructured":"Cohn DA, Hofmann T (2001) The missing link-a probabilistic model of document content and hypertext connectivity. In: Advances in neural information processing systems, pp 430\u2013436"},{"issue":"3","key":"1252_CR37","doi-asserted-by":"publisher","first-page":"2758","DOI":"10.1016\/j.eswa.2010.08.066","volume":"38","author":"W Zhang","year":"2011","unstructured":"Zhang W, Yoshida T, Tang X (2011) A comparative study of TF* IDF, LSI and multi-words for text classification. Expert Syst Appl 38(3):2758\u20132765","journal-title":"Expert Syst Appl"},{"issue":"8","key":"1252_CR38","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1109\/MC.2009.263","volume":"42","author":"Y Koren","year":"2009","unstructured":"Koren Y, Bell R, Volinsky C (2009) Matrix factorization techniques for recommender systems. Computer 42(8):30\u201337","journal-title":"Computer"},{"issue":"2","key":"1252_CR39","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1023\/A:1011419012209","volume":"4","author":"K Goldberg","year":"2001","unstructured":"Goldberg K, Roeder T, Gupta D, Perkins C (2001) Eigentaste: a constant time collaborative filtering algorithm. Inf Retr 4(2):133\u2013151","journal-title":"Inf Retr"},{"key":"1252_CR40","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1016\/j.ins.2017.08.008","volume":"418","author":"Y Wang","year":"2017","unstructured":"Wang Y, Deng J, Gao J, Zhang P (2017) A hybrid user similarity model for collaborative filtering. Inf Sci 418:102\u2013118","journal-title":"Inf Sci"},{"key":"1252_CR41","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1145\/2661829.2661998","volume-title":"Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management","author":"T Zhao","year":"2014","unstructured":"Zhao T, McAuley J, King I (2014) Leveraging social connections to improve personalized ranking for collaborative filtering. In: Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management. ACM, New York, pp 261\u2013270"},{"key":"1252_CR42","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1145\/2766462.2767755","volume-title":"Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval","author":"J McAuley","year":"2015","unstructured":"McAuley J, Targett C, Shi Q, Van Den Hengel A (2015) Image-based recommendations on styles and substitutes. In: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, New York, pp 43\u201352"},{"key":"1252_CR43","first-page":"452","volume-title":"Proceedings of the twenty-fifth conference on uncertainty in artificial intelligence","author":"S Rendle","year":"2009","unstructured":"Rendle S, Freudenthaler C, Gantner Z, Schmidt-Thieme L (2009) BPR: Bayesian personalized ranking from implicit feedback. In: Proceedings of the twenty-fifth conference on uncertainty in artificial intelligence. AUAI Press, Arlington, pp 452\u2013461"},{"key":"1252_CR44","doi-asserted-by":"publisher","first-page":"811","DOI":"10.1145\/1772690.1772773","volume-title":"Proceedings of the 19th international conference on world wide web","author":"S Rendle","year":"2010","unstructured":"Rendle S, Freudenthaler C, Schmidt-Thieme L (2010) Factorizing personalized markov chains for next-basket recommendation. In: Proceedings of the 19th international conference on world wide web. ACM, New York, pp 811\u2013820"},{"key":"1252_CR45","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1109\/ICDM.2016.0030","volume-title":"Data mining (ICDM), 2016 IEEE 16th international conference on","author":"R He","year":"2016","unstructured":"He R, McAuley J (2016) Fusing similarity models with markov chains for sparse sequential recommendation. In: Data mining (ICDM), 2016 IEEE 16th international conference on. IEEE, Piscataway, pp 191\u2013200"}],"container-title":["Personal and Ubiquitous Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00779-019-01252-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00779-019-01252-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00779-019-01252-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,18]],"date-time":"2023-09-18T08:32:00Z","timestamp":1695025920000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00779-019-01252-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7,16]]},"references-count":45,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2022,4]]}},"alternative-id":["1252"],"URL":"https:\/\/doi.org\/10.1007\/s00779-019-01252-x","relation":{},"ISSN":["1617-4909","1617-4917"],"issn-type":[{"type":"print","value":"1617-4909"},{"type":"electronic","value":"1617-4917"}],"subject":[],"published":{"date-parts":[[2019,7,16]]},"assertion":[{"value":"21 February 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 June 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 July 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}