{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T14:27:08Z","timestamp":1725892028421},"publisher-location":"Berlin, Heidelberg","reference-count":12,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642348884"},{"type":"electronic","value":"9783642348891"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-34889-1_5","type":"book-chapter","created":{"date-parts":[[2013,1,2]],"date-time":"2013-01-02T01:18:51Z","timestamp":1357089531000},"page":"57-70","source":"Crossref","is-referenced-by-count":0,"title":["Autonomously Revising Knowledge-Based Recommendations through Item and User Information"],"prefix":"10.1007","author":[{"given":"Avi","family":"Rosenfeld","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aviad","family":"Levy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Asher","family":"Yoskovitz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"issue":"6","key":"5_CR1","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.: Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering\u00a017(6), 734\u2013749 (2005)","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"5_CR2","unstructured":"Bennett, J., Lanning, S.: The netflix prize. In: KDD Cup and Workshop in Conjunction with KDD, pp. 3\u20136 (2007)"},{"key":"5_CR3","unstructured":"Burke, R.: Knowledge-based Recommender Systems. In: Encyclopedia of Library and Information Systems, vol.\u00a069 (2000)"},{"issue":"4","key":"5_CR4","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1023\/A:1021240730564","volume":"12","author":"R.D. Burke","year":"2002","unstructured":"Burke, R.D.: Hybrid recommender systems: Survey and experiments. User Model and User-Adapted Interaction\u00a012(4), 331\u2013370 (2002)","journal-title":"User Model and User-Adapted Interaction"},{"key":"5_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1007\/978-3-540-72079-9_12","volume-title":"The Adaptive Web","author":"R. Burke","year":"2007","unstructured":"Burke, R.: Hybrid Web Recommender Systems. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) The Adaptive Web. LNCS, vol.\u00a04321, pp. 377\u2013408. Springer, Heidelberg (2007)"},{"key":"5_CR6","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1145\/138859.138867","volume":"35","author":"D. Goldberg","year":"1992","unstructured":"Goldberg, D., Nichols, D., Oki, B.M., Terry, D.: Using collaborative filtering to weave an information tapestry. Commun. ACM\u00a035, 61\u201370 (1992)","journal-title":"Commun. ACM"},{"key":"5_CR7","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1145\/963770.963772","volume":"22","author":"J.L. Herlocker","year":"2004","unstructured":"Herlocker, J.L., Konstan, J.A., Terveen, L.G., Riedl, J.T.: Evaluating collaborative filtering recommender systems. ACM Trans. Inf. Syst.\u00a022, 5\u201353 (2004)","journal-title":"ACM Trans. Inf. Syst."},{"key":"5_CR8","unstructured":"Melville, P., Mooney, R.J., Nagarajan, R.: Content-boosted collaborative filtering for improved recommendations. In: Eighteenth National Conference on Artificial Intelligence, pp. 187\u2013192. American Association for Artificial Intelligence (2002)"},{"key":"5_CR9","first-page":"187","volume-title":"Eighteenth National Conference on Artificial Intelligence","author":"P. Melville","year":"2002","unstructured":"Melville, P., Mooney, R.J., Nagarajan, R.: Content-boosted collaborative filtering for improved recommendations. In: Eighteenth National Conference on Artificial Intelligence, pp. 187\u2013192. American Association for Artificial Intelligence, Menlo Park (2002)"},{"key":"5_CR10","doi-asserted-by":"crossref","unstructured":"Pazzani, M., Billsus, D.: Content-Based Recommendation Systems, pp. 325\u2013341 (2007)","DOI":"10.1007\/978-3-540-72079-9_10"},{"key":"5_CR11","doi-asserted-by":"crossref","unstructured":"Sarwar, B.M., Konstan, J.A., Borchers, A., Herlocker, J., Miller, B., Riedl, J.: Using filtering agents to improve prediction quality in the grouplens research collaborative filtering system. In: Proceedings of the 1998 ACM Conference on Computer Supported Cooperative Work, CSCW 1998, pp. 345\u2013354 (1998)","DOI":"10.1145\/289444.289509"},{"key":"5_CR12","unstructured":"Witten, I.H., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques, 2nd edn. Morgan Kaufmann (2005)"}],"container-title":["Lecture Notes in Business Information Processing","Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-34889-1_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,10]],"date-time":"2019-05-10T04:27:01Z","timestamp":1557462421000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-34889-1_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642348884","9783642348891"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-34889-1_5","relation":{},"ISSN":["1865-1348","1865-1356"],"issn-type":[{"type":"print","value":"1865-1348"},{"type":"electronic","value":"1865-1356"}],"subject":[],"published":{"date-parts":[[2013]]}}}