{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T15:47:37Z","timestamp":1725983257966},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319951676"},{"type":"electronic","value":"9783319951683"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-95168-3_26","type":"book-chapter","created":{"date-parts":[[2018,7,3]],"date-time":"2018-07-03T00:22:25Z","timestamp":1530577345000},"page":"383-397","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["FAiR: A Framework for Analyses and Evaluations on Recommender Systems"],"prefix":"10.1007","author":[{"given":"Diego","family":"Carvalho","sequence":"first","affiliation":[]},{"given":"N\u00edcollas","family":"Silva","sequence":"additional","affiliation":[]},{"given":"Thiago","family":"Silveira","sequence":"additional","affiliation":[]},{"given":"Fernando","family":"Mour\u00e3o","sequence":"additional","affiliation":[]},{"given":"Adriano","family":"Pereira","sequence":"additional","affiliation":[]},{"given":"Diego","family":"Dias","sequence":"additional","affiliation":[]},{"given":"Leonardo","family":"Rocha","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,7,4]]},"reference":[{"key":"26_CR1","unstructured":"Anderson, C.: Long tail, the, revised and updated edition: why the future of business is selling less of more (2008)"},{"key":"26_CR2","doi-asserted-by":"crossref","unstructured":"Barjasteh, I., Forsati, R., Masrour, F., Esfahanian, A.H., Radha, H.: Cold-start item and user recommendation with decoupled completion and transduction. In: Proceedings of the 9th ACM RecSys, pp. 91\u201398. ACM (2015)","DOI":"10.1145\/2792838.2800196"},{"issue":"4","key":"26_CR3","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1007\/s00799-015-0156-0","volume":"17","author":"J Beel","year":"2016","unstructured":"Beel, J., Gipp, B., Langer, S., Breitinger, C.: Research-paper recommender systems: a literature survey. Int. J. Digit. Libr. 17(4), 305\u2013338 (2016)","journal-title":"Int. J. Digit. Libr."},{"key":"26_CR4","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/j.knosys.2013.03.012","volume":"46","author":"J Bobadilla","year":"2013","unstructured":"Bobadilla, J., Ortega, F., Hernando, A., Guti\u00e9rrez, A.: Recommender systems survey. Knowl.-Based Syst. 46, 109\u2013132 (2013)","journal-title":"Knowl.-Based Syst."},{"key":"26_CR5","doi-asserted-by":"crossref","unstructured":"Chiancone, A., Franzoni, V., Li, Y., Markov, K., Milani, A.: Leveraging zero tail in neighbourhood for link prediction. In: 2015 IEEE\/WIC\/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), vol. 3, pp. 135\u2013139. IEEE (2015)","DOI":"10.1109\/WI-IAT.2015.129"},{"key":"26_CR6","doi-asserted-by":"crossref","unstructured":"Chiancone, A., Franzoni, V., Niyogi, R., Milani, A.: Improving link ranking quality by quasi-common neighbourhood. In: 2015 15th International Conference on Computational Science and Its Applications (ICCSA), pp. 21\u201326. IEEE (2015)","DOI":"10.1109\/ICCSA.2015.19"},{"key":"26_CR7","doi-asserted-by":"crossref","unstructured":"Cremonesi, P., Koren, Y., Turrin, R.: Performance of recommender algorithms on top-n recommendation tasks. In: Proceedings of the Fourth ACM Conference on Recommender Systems, pp. 39\u201346. ACM (2010)","DOI":"10.1145\/1864708.1864721"},{"key":"26_CR8","doi-asserted-by":"crossref","unstructured":"Ekstrand, M.D., Ludwig, M., Kolb, J., Riedl, J.T.: Lenskit: a modular recommender framework. In: Proceedings of the Fifth ACM Conference on Recommender Systems, pp. 349\u2013350. ACM (2011)","DOI":"10.1145\/2043932.2044001"},{"key":"26_CR9","doi-asserted-by":"crossref","unstructured":"Gantner, Z., Rendle, S., Freudenthaler, C., Schmidt-Thieme, L.: MyMediaLite: a free recommender system library. In: Proceedings of 5th ACM RecSys (2011)","DOI":"10.1145\/2043932.2043989"},{"issue":"1","key":"26_CR10","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1145\/963770.963772","volume":"22","author":"JL 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. (TOIS) 22(1), 5\u201353 (2004)","journal-title":"ACM Trans. Inf. Syst. (TOIS)"},{"key":"26_CR11","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511763113","volume-title":"Recommender Systems: An Introduction","author":"D Jannach","year":"2010","unstructured":"Jannach, D., Zanker, M., Felfernig, A., Friedrich, G.: Recommender Systems: An Introduction. Cambridge University Press, Cambridge (2010)"},{"issue":"6B","key":"26_CR12","first-page":"2177","volume":"19","author":"M Kawai","year":"2016","unstructured":"Kawai, M., Nogami, S.: A hybrid recommender system of collaborative and content based filtering. Int. Inf. Inst. (Tokyo) Inf. 19(6B), 2177 (2016)","journal-title":"Int. Inf. Inst. (Tokyo) Inf."},{"key":"26_CR13","unstructured":"Konstan, J.A., Riedl, J.: Research resources for recommender systems. In: CHI 1999 Workshop Interacting with Recommender Systems (1999)"},{"key":"26_CR14","doi-asserted-by":"crossref","unstructured":"Kouki, P., Fakhraei, S., Foulds, J., Eirinaki, M., Getoor, L.: Hyper: a flexible and extensible probabilistic framework for hybrid recommender systems. In: Proceedings of the 9th ACM RecSys, pp. 99\u2013106 (2015)","DOI":"10.1145\/2792838.2800175"},{"key":"26_CR15","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.dss.2015.03.008","volume":"74","author":"J Lu","year":"2015","unstructured":"Lu, J., Wu, D., Mao, M., Wang, W., Zhang, G.: Recommender system application developments: a survey. Decis. Support Syst. 74, 12\u201332 (2015)","journal-title":"Decis. Support Syst."},{"key":"26_CR16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-45135-5","volume-title":"Recommendation Systems in Software Engineering","author":"R Martin","year":"2014","unstructured":"Martin, R., Walid, M., Robert, W., Thomas, Z.: Recommendation Systems in Software Engineering. Springer, Heidelberg (2014). \nhttps:\/\/doi.org\/10.1007\/978-3-642-45135-5"},{"key":"26_CR17","doi-asserted-by":"crossref","unstructured":"McNee, S.M., Riedl, J., Konstan, J.A.: Being accurate is not enough: how accuracy metrics have hurt recommender systems. In: CHI 2006 Extended Abstracts on Human Factors in Computing Systems, pp. 1097\u20131101. ACM (2006)","DOI":"10.1145\/1125451.1125659"},{"key":"26_CR18","doi-asserted-by":"publisher","first-page":"2190","DOI":"10.1016\/j.procs.2016.05.379","volume":"80","author":"Kourosh Modarresi","year":"2016","unstructured":"Modarresi, K.: Recommendation system based on complete personalization. In: ICCS 2016, California, USA, pp. 2190\u20132204 (2016)","journal-title":"Procedia Computer Science"},{"issue":"1","key":"26_CR19","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1080\/01449290903004012","volume":"29","author":"AA Ozok","year":"2010","unstructured":"Ozok, A.A., Fan, Q., Norcio, A.F.: Design guidelines for effective recommender system interfaces based on a usability criteria conceptual model: results from a college student population. Behav. Inf. Technol. 29(1), 57\u201383 (2010)","journal-title":"Behav. Inf. Technol."},{"key":"26_CR20","doi-asserted-by":"crossref","unstructured":"Puthiya Parambath, S.A., Usunier, N., Grandvalet, Y.: A coverage-based approach to recommendation diversity on similarity graph. In: Proceedings of the 10th ACM RecSys, pp. 15\u201322 (2016)","DOI":"10.1145\/2959100.2959149"},{"key":"26_CR21","volume-title":"The Paradox of Choice: Why More Is Less","author":"B Schwartz","year":"2009","unstructured":"Schwartz, B.: The Paradox of Choice: Why More Is Less, Revised edn. HarperCollins, New York City (2009)","edition":"Revised"},{"key":"26_CR22","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/j.is.2014.10.001","volume":"58","author":"LH Son","year":"2016","unstructured":"Son, L.H.: Dealing with the new user cold-start problem in recommender systems: a comparative review. Inf. Syst. 58, 87\u2013104 (2016)","journal-title":"Inf. Syst."},{"key":"26_CR23","doi-asserted-by":"crossref","unstructured":"Vargas, S., Castells, P.: Rank and relevance in novelty and diversity metrics for recommender systems. In: Proceedings of the Fifth ACM RecSys, pp. 109\u2013116. ACM (2011)","DOI":"10.1145\/2043932.2043955"},{"key":"26_CR24","doi-asserted-by":"crossref","unstructured":"Zhang, Y.C., S\u00e9aghdha, D.\u00d3., Quercia, D., Jambor, T.: Auralist: introducing serendipity into music recommendation. In: Proceedings of the Fifth ACM International Conference on Web Search and Data Mining, pp. 13\u201322. ACM (2012)","DOI":"10.1145\/2124295.2124300"}],"container-title":["Lecture Notes in Computer Science","Computational Science and Its Applications \u2013 ICCSA 2018"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-95168-3_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,7,3]],"date-time":"2018-07-03T00:40:17Z","timestamp":1530578417000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-95168-3_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319951676","9783319951683"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-95168-3_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]}}}