{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T18:09:34Z","timestamp":1770487774196,"version":"3.49.0"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2016,12,1]],"date-time":"2016-12-01T00:00:00Z","timestamp":1480550400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Data Sci. Eng."],"published-print":{"date-parts":[[2016,12]]},"DOI":"10.1007\/s41019-017-0032-6","type":"journal-article","created":{"date-parts":[[2017,2,7]],"date-time":"2017-02-07T02:45:35Z","timestamp":1486435535000},"page":"252-264","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Local Weighted Matrix Factorization for Top-n Recommendation with Implicit Feedback"],"prefix":"10.1007","volume":"1","author":[{"given":"Keqiang","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongwei","family":"Peng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuanyuan","family":"Jin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chaofeng","family":"Sha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoling","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,2,7]]},"reference":[{"issue":"1","key":"32_CR1","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1145\/963770.963776","volume":"22","author":"M Deshpande","year":"2004","unstructured":"Deshpande M, Karypis G (2004) Item-based top-n recommendation algorithms. ACM Trans Inf Syst 22(1):143\u2013177","journal-title":"ACM Trans Inf Syst"},{"key":"32_CR2","unstructured":"Paterek A (2007) Improving regularized singular value decomposition for collaborative filtering. In: Proceedings of KDD cup and workshop, vol 2007, pp 5\u20138"},{"key":"32_CR3","series-title":"Curran Associates Inc","first-page":"1257","volume-title":"Advances in neural information processing systems","author":"R Salakhutdinov","year":"2011","unstructured":"Salakhutdinov R, Mnih A (2011) Probabilistic matrix factorization. In: Shawe-Taylor J, Zemel RS, Bartlett PL, Pereira F, Weinberger KQ (eds) Advances in neural information processing systems, vol 20. Curran Associates Inc, Vancouver, BC, Canada, pp 1257\u20131264"},{"issue":"8","key":"32_CR4","doi-asserted-by":"crossref","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"},{"key":"32_CR5","series-title":"Curran Associates Inc","first-page":"1134","volume-title":"Advances in neural information processing systems","author":"LW Mackey","year":"2011","unstructured":"Mackey LW, Jordan MI, Talwalkar A (2011) Divide-and-conquer matrix factorization. In: Platt JC, Koller D, Singer Y, Roweis ST (eds) Advances in neural information processing systems, vol 24. Curran Associates Inc, Granada, Spain, pp 1134\u20131142"},{"key":"32_CR6","doi-asserted-by":"crossref","unstructured":"Zhang Y, Zhang M, Liu Y, et al (2013) Localized matrix factorization for recommendation based on matrix block diagonal forms. In: Proceedings of the 22nd international conference on world wide web, pp 1511\u20131520","DOI":"10.1145\/2488388.2488520"},{"key":"32_CR7","unstructured":"Lee J, Kim S, Lebanon G, et al (2013) Local low-rank matrix approximation. In: Proceedings of the 30th international conference on machine learning, pp 82\u201390"},{"key":"32_CR8","doi-asserted-by":"crossref","unstructured":"Lee J, Bengio S, Kim S, et al (2014) Local collaborative ranking. In: Proceedings of the 23rd international conference on world wide web, pp 85\u201396","DOI":"10.1145\/2566486.2567970"},{"key":"32_CR9","doi-asserted-by":"crossref","unstructured":"Beutel A, Ahmed A, Smola AJ (2015) ACCAMS: Additive co-clustering to approximate matrices succinctly. In: Proceedings of the 24th international conference on world wide web, pp 119\u2013129","DOI":"10.1145\/2736277.2741091"},{"key":"32_CR10","doi-asserted-by":"crossref","unstructured":"Hu Y, Koren Y, Volinsky C (2008) Collaborative filtering for implicit feedback datasets. In: Eighth IEEE international conference on data mining, pp 263\u2013272","DOI":"10.1109\/ICDM.2008.22"},{"key":"32_CR11","doi-asserted-by":"crossref","unstructured":"Pan R, Zhou Y, Cao B, et al (2008) One-class collaborative filtering. In: Eighth IEEE international conference on data mining, pp 502\u2013511","DOI":"10.1109\/ICDM.2008.16"},{"key":"32_CR12","doi-asserted-by":"crossref","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, pp 667\u2013676","DOI":"10.1145\/1557019.1557094"},{"key":"32_CR13","unstructured":"Rendle S, Freudenthaler C, Gantner Z, et al (2009) BPR: Bayesian personalized ranking from implicit feedback. In: Proceedings of the twenty-fifth conference on uncertainty in artificial intelligence, pp 452\u2013461"},{"key":"32_CR14","doi-asserted-by":"crossref","unstructured":"Rendle S, Freudenthaler C (2014) Improving pairwise learning for item recommendation from implicit feedback. In: Proceedings of the 7th ACM international conference on web search and data mining, pp 273\u2013282","DOI":"10.1145\/2556195.2556248"},{"key":"32_CR15","doi-asserted-by":"crossref","unstructured":"Yang D, Chen T, Zhang W, et al (2012) Local implicit feedback mining for music recommendation. In: Proceedings of the sixth ACM conference on recommender systems, pp 91\u201398","DOI":"10.1145\/2365952.2365973"},{"key":"32_CR16","doi-asserted-by":"crossref","unstructured":"Ilievski I, Roy S (2013) Personalized news recommendation based on implicit feedback. In: Proceedings of the 2013 international news recommender systems workshop and challenge, pp 10\u201315","DOI":"10.1145\/2516641.2516644"},{"key":"32_CR17","unstructured":"Zibriczky D, Hidasi B, Petres Z, et al (2012) Personalized recommendation of linear content on interactive TV platforms: beating the cold start and noisy implicit user feedback. In: UMAP workshops"},{"key":"32_CR18","doi-asserted-by":"crossref","unstructured":"Lian D, Zhao C, Xie X, et al (2014) GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation. In: Proceedings of the 20th ACM SIGKDD international conference on knowledge discovery and data mining, pp 831\u2013840","DOI":"10.1145\/2623330.2623638"},{"key":"32_CR19","doi-asserted-by":"crossref","unstructured":"Liu Y, Wei W, Sun A, et al (2014) Exploiting geographical neighborhood characteristics for location recommendation. In: Proceedings of the 23rd ACM conference on information and knowledge management, pp 739\u2013748","DOI":"10.1145\/2661829.2662002"},{"key":"32_CR20","doi-asserted-by":"crossref","unstructured":"Cho E, Myers SA, Leskovec J (2011) Friendship and mobility: user movement in location-based social networks. In: Proceedings of the 17th ACM SIGKDD international conference on knowledge discovery and data mining, pp 1082\u20131090","DOI":"10.1145\/2020408.2020579"},{"key":"32_CR21","doi-asserted-by":"crossref","unstructured":"Chapelle O, Metlzer D, Zhang Y, et al (2009) Expected reciprocal rank for graded relevance. In: Proceedings of the 18th ACM conference on information and knowledge management, pp 621\u2013630","DOI":"10.1145\/1645953.1646033"},{"key":"32_CR22","doi-asserted-by":"crossref","unstructured":"Clarke CLA, Kolla M, Cormack GV, et al (2008) Novelty and diversity in information retrieval evaluation. In: Proceedings of the 31st annual international ACM SIGIR conference on research and development in information retrieval, pp 659\u2013666","DOI":"10.1145\/1390334.1390446"},{"issue":"1","key":"32_CR23","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1007\/BF01588971","volume":"14","author":"GL Nemhauser","year":"1978","unstructured":"Nemhauser GL, Wolsey LA, Fisher ML (1978) An analysis of approximations for maximizing submodular set functions I. Math Program 14(1):265\u2013294","journal-title":"Math Program"},{"key":"32_CR24","doi-asserted-by":"crossref","unstructured":"He X, Zhang H, Kan MY, et al (2016) Fast matrix factorization for online recommendation with implicit feedback. In: Proceedings of the 39th annual international ACM SIGIR conference on research and development in information retrieval, pp 549\u2013558","DOI":"10.1145\/2911451.2911489"},{"key":"32_CR25","unstructured":"Guillory A, Bilmes J (2010) Interactive submodular set cover. arXiv preprint arXiv:1002.3345"},{"key":"32_CR26","doi-asserted-by":"crossref","unstructured":"Chen C, Li D, Zhao Y, et al (2015) WEMAREC: Accurate and scalable recommendation through weighted and ensemble matrix approximation. In: Proceedings of the 38th international ACM SIGIR conference on research and development in information retrieval, pp 303\u2013312","DOI":"10.1145\/2766462.2767718"},{"key":"32_CR27","doi-asserted-by":"crossref","unstructured":"Pilszy I, Zibriczky D, Tikk D (2010) Fast als-based matrix factorization for explicit and implicit feedback datasets. In: Proceedings of the fourth ACM conference on recommender systems, pp 71\u201378","DOI":"10.1145\/1864708.1864726"},{"key":"32_CR28","doi-asserted-by":"crossref","unstructured":"Devooght R, Kourtellis N, Mantrach A (2015) Dynamic matrix factorization with priors on unknown values. In: Proceedings of the 21th ACM SIGKDD international conference on knowledge discovery and data mining, pp 189\u2013198","DOI":"10.1145\/2783258.2783346"},{"key":"32_CR29","doi-asserted-by":"crossref","unstructured":"Yuan Q, Cong G, Ma Z, et al (2013) Time-aware point-of-interest recommendation. In: Proceedings of the 36th international ACM SIGIR conference on research and development in information retrieval, pp 363\u2013372","DOI":"10.1145\/2484028.2484030"},{"key":"32_CR30","doi-asserted-by":"crossref","unstructured":"Dhillon, Inderjit S, Mallela Subramanyam, Modha Dharmendra S (2003) Information-theoretic co-clustering. In: Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining, pp 89\u201398","DOI":"10.1145\/956750.956764"}],"container-title":["Data Science and Engineering"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s41019-017-0032-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s41019-017-0032-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s41019-017-0032-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,25]],"date-time":"2017-06-25T09:55:02Z","timestamp":1498384502000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s41019-017-0032-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12]]},"references-count":30,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2016,12]]}},"alternative-id":["32"],"URL":"https:\/\/doi.org\/10.1007\/s41019-017-0032-6","relation":{},"ISSN":["2364-1185","2364-1541"],"issn-type":[{"value":"2364-1185","type":"print"},{"value":"2364-1541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,12]]}}}