{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,7]],"date-time":"2026-06-07T14:45:13Z","timestamp":1780843513755,"version":"3.54.1"},"publisher-location":"Boston, MA","reference-count":64,"publisher":"Springer US","isbn-type":[{"value":"9780387858197","type":"print"},{"value":"9780387858203","type":"electronic"}],"license":[{"start":{"date-parts":[[2010,10,5]],"date-time":"2010-10-05T00:00:00Z","timestamp":1286236800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2010,10,5]],"date-time":"2010-10-05T00:00:00Z","timestamp":1286236800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011]]},"DOI":"10.1007\/978-0-387-85820-3_8","type":"book-chapter","created":{"date-parts":[[2010,10,20]],"date-time":"2010-10-20T17:54:07Z","timestamp":1287597247000},"page":"257-297","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":731,"title":["Evaluating Recommendation Systems"],"prefix":"10.1007","author":[{"given":"Guy","family":"Shani","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Asela","family":"Gunawardana","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2010,10,5]]},"reference":[{"key":"8_CR1","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1016\/0022-2496(75)90001-2","volume":"12","author":"D. Bamber","year":"1975","unstructured":"Bamber, D.: The area above the ordinal dominance graph and the area below the receiver operating characteristic graph. Journal of Mathematical Psychology 12, 387\u2013415 (1975)","journal-title":"Journal of Mathematical Psychology"},{"issue":"1","key":"8_CR2","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","volume":"57","author":"benjamini","year":"1995","unstructured":"benjamini: Controlling the false discovery rate:a practical and powerful approach to multiple testing. J. R. Statist. Soc. B 57(1), 289\u2013300 (1995)","journal-title":"J. R. Statist. Soc. B"},{"key":"8_CR3","doi-asserted-by":"crossref","unstructured":"Bonhard, P., Harries, C., McCarthy, J., Sasse, M.A.: Accounting for taste: using profile similarity to improve recommender systems. In: CHI \u201906: Proceedings of the SIGCHI conference on Human Factors in computing systems, pp. 1057\u20131066. ACM, New York, NY, USA (2006). DOI http:\/\/doi.acm.org\/10.1145\/1124772.1124930","DOI":"10.1145\/1124772.1124930"},{"key":"8_CR4","unstructured":"Boutilier, C., Zemel, R.S.: Online queries for collaborative filtering. In: In Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics (2002)"},{"key":"8_CR5","volume-title":"Statistics for Experimenters","author":"G.E.P. Box","year":"1978","unstructured":"Box, G.E.P., Hunter,W.G., Hunter, J.S.: Statistics for Experimenters. Wiley, New York (1978)"},{"key":"8_CR6","unstructured":"Bradley, K., Smyth, B.: Improving recommendation diversity. In: Twelfth Irish Conference on Artificial Intelligence and Cognitive Science, pp. 85\u201394 (2001)"},{"key":"8_CR7","unstructured":"Braziunas, D., Boutilier, C.: Local utility elicitation in GAI models. In: Proceedings of the Twenty-first Conference on Uncertainty in Artificial Intelligence, pp. 42\u201349. Edinburgh (2005)"},{"key":"8_CR8","unstructured":"Breese, J.S., Heckerman, D., Kadie, C.M.: Empirical analysis of predictive algorithms for collaborative filtering. In: UAI, pp. 43\u201352 (1998)"},{"key":"8_CR9","doi-asserted-by":"crossref","unstructured":"Celma, O., Herrera, P.: A new approach to evaluating novel recommendations. In: RecSys \u201908: Proceedings of the 2008 ACM conference on Recommender systems, pp. 179\u2013186. ACM, New York, NY, USA (2008). DOI http:\/\/doi.acm.org\/10.1145\/1454008.1454038","DOI":"10.1145\/1454008.1454038"},{"key":"8_CR10","doi-asserted-by":"crossref","unstructured":"Chirita, P.A., Nejdl, W., Zamfir, C.: Preventing shilling attacks in online recommender systems. In: WIDM \u201905: Proceedings of the 7th annual ACM international workshop on Web information and data management, pp. 67\u201374. ACM, New York, NY, USA (2005). DOI http:\/\/doi.acm.org\/10.1145\/1097047.1097061","DOI":"10.1145\/1097047.1097061"},{"key":"8_CR11","doi-asserted-by":"crossref","unstructured":"Cramer, H., Evers, V., Ramlal, S., Someren, M., Rutledge, L., Stash, N., Aroyo, L.,Wielinga, B.: The effects of transparency on trust in and acceptance of a content-based art recommender. User Modeling and User-Adapted Interaction 18(5), 455\u2013496 (2008). DOI http:\/\/dx.doi.org\/10.1007\/s11257-008-9051-3","DOI":"10.1007\/s11257-008-9051-3"},{"key":"8_CR12","doi-asserted-by":"crossref","unstructured":"Das, A.S., Datar, M., Garg, A., Rajaram, S.: Google news personalization: scalable online collaborative filtering. In: WWW \u201907: Proceedings of the 16th international conference on World Wide Web, pp. 271\u2013280. ACM, New York, NY, USA (2007). DOI http:\/\/doi.acm.org\/10.1145\/1242572.1242610","DOI":"10.1145\/1242572.1242610"},{"key":"8_CR13","first-page":"1","volume":"7","author":"J. Dem\u0161ar","year":"2003","unstructured":"Dem\u0161ar, J.: Statistical comparisons of classifiers over multiple data sets. J. Mach. Learn. Res. 7, 1\u201330 (2006)","journal-title":"J. Mach. Learn. Res."},{"issue":"1","key":"8_CR14","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1145\/963770.963776","volume":"22","author":"M. Deshpande","year":"2004","unstructured":"Deshpande, M., Karypis, G.: Item-based top-N recommendation algorithms. ACM Transactions on Information Systems 22(1), 143\u2013177 (2004)","journal-title":"ACM Transactions on Information Systems"},{"issue":"1-2","key":"8_CR15","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1023\/A:1011145532042","volume":"11","author":"G. Fischer","year":"2001","unstructured":"Fischer, G.: User modeling in human-computer interaction. User Model. User-Adapt. Interact. 11(1-2), 65\u201386 (2001)","journal-title":"User Model. User-Adapt. Interact."},{"key":"8_CR16","doi-asserted-by":"crossref","unstructured":"Fleder, D.M., Hosanagar, K.: Recommender systems and their impact on sales diversity. In: EC \u201907: Proceedings of the 8th ACM conference on Electronic commerce, pp. 192\u2013199. ACM, New York, NY, USA (2007). DOI http:\/\/doi.acm.org\/10.1145\/1250910.1250939","DOI":"10.1145\/1250910.1250939"},{"key":"8_CR17","doi-asserted-by":"crossref","unstructured":"Frankowski, D., Cosley, D., Sen, S., Terveen, L., Riedl, J.: You are what you say: privacy risks of public mentions. In: SIGIR \u201906: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 565\u2013572. ACM, New York, NY, USA (2006). DOI http:\/\/doi.acm.org\/10.1145\/1148170.1148267","DOI":"10.1145\/1148170.1148267"},{"issue":"7","key":"8_CR18","doi-asserted-by":"publisher","first-page":"2143","DOI":"10.1016\/j.jspi.2006.06.045","volume":"137","author":"G.A. Fredricks","year":"2007","unstructured":"Fredricks, G.A., Nelsen, R.B.: On the relationship between spearman\u2019s rho and kendall\u2019s tau for pairs of continuous random variables. Journal of Statistical Planning and Inference 137(7), 2143\u20132150 (2007)","journal-title":"Journal of Statistical Planning and Inference"},{"key":"8_CR19","doi-asserted-by":"crossref","unstructured":"George, T.: A scalable collaborative filtering framework based on co-clustering. In: Fifth IEEE International Conference on Data Mining, pp. 625\u2013628 (2005)","DOI":"10.1109\/ICDM.2005.14"},{"key":"8_CR20","first-page":"216","volume":"83","author":"A.G. Greenwald","year":"1976","unstructured":"Greenwald, A.G.: Within-subjects designs: To use or not to use? Psychological Bulletin 83, 216\u2013229 (1976)","journal-title":"Within-subjects designs: To use or not to use? Psychological Bulletin"},{"key":"8_CR21","unstructured":"Haddawy, P., Ha, V., Restificar, A., Geisler, B., Miyamoto, J.: Preference elicitation via theory refinement. Journal of Machine Learning Research 4, 2003 (2002)"},{"key":"8_CR22","doi-asserted-by":"crossref","unstructured":"Herlocker, J.L., Konstan, J.A., Riedl, J.T.: Explaining collaborative filtering recommendations. In: CSCW \u201900: Proceedings of the 2000 ACM conference on Computer supported cooperative work, pp. 241\u2013250. ACM, New York, NY, USA (2000). DOI http:\/\/doi.acm.org\/10.1145\/358916.358995","DOI":"10.1145\/358916.358995"},{"key":"8_CR23","doi-asserted-by":"crossref","unstructured":"Herlocker, J.L., Konstan, J.A., Riedl, J.T.: An empirical analysis of design choices in neighborhood-based collaborative filtering algorithms. Inf. Retr. 5(4), 287\u2013310 (2002). DOI http:\/\/dx.doi.org\/10.1023\/A:1020443909834","DOI":"10.1023\/A:1020443909834"},{"issue":"1","key":"8_CR24","doi-asserted-by":"crossref","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. 22(1), 5\u201353 (2004). DOI http:\/\/doi.acm.org\/10.1145\/963770.963772","journal-title":"ACM Trans. Inf. Syst."},{"key":"8_CR25","doi-asserted-by":"crossref","unstructured":"Hijikata, Y., Shimizu, T., Nishida, S.: Discovery-oriented collaborative filtering for improving user satisfaction. In: IUI \u201909: Proceedings of the 13th international conference on Intelligent user interfaces, pp. 67\u201376. ACM, New York, NY, USA (2009). DOI http:\/\/doi.acm.org\/10.1145\/1502650.1502663","DOI":"10.1145\/1502650.1502663"},{"key":"8_CR26","doi-asserted-by":"crossref","unstructured":"Hu, R., Pu, P.: A comparative user study on rating vs. personality quiz based preference elicitation methods. In: IUI \u00b409: Proceedings of the 13th international conference on Intelligent user interfaces, pp. 367\u2013372. ACM, New York, NY, USA (2009). DOI http:\/\/doi.acm.org\/10.1145\/1502650.1502702","DOI":"10.1145\/1502650.1502702"},{"issue":"4","key":"8_CR27","doi-asserted-by":"crossref","first-page":"422","DOI":"10.1145\/582415.582418","volume":"20","author":"K. J\u00e4rvelin","year":"2002","unstructured":"J\u00e4rvelin, K., Kek\u00e4l\u00e4inen, J.: Cumulated gain-based evaluation of ir techniques. ACM Trans. Inf. Syst. 20(4), 422\u2013446 (2002). DOI http:\/\/doi.acm.org\/10.1145\/582415.582418","journal-title":"ACM Trans. Inf. Syst."},{"key":"8_CR28","unstructured":"Jones, N., Pu, P.: User technology adoption issues in recommender systems. In: Networking and Electronic Conference (2007)"},{"key":"8_CR29","unstructured":"Karypis, G.: Evaluation of item-based top-n recommendation algorithms. In: CIKM \u201901: Proceedings of the tenth international conference on Information and knowledge management, pp. 247\u2013254. ACM, New York, NY, USA (2001). DOI http:\/\/doi.acm.org\/10.1145\/502585.502627"},{"issue":"1\u20132","key":"8_CR30","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1093\/biomet\/30.1-2.81","volume":"30","author":"M.G. Kendall","year":"1938","unstructured":"Kendall, M.G.: A new measure of rank correlation. Biometrika 30(1\u20132), 81\u201393 (1938)","journal-title":"Biometrika"},{"issue":"3","key":"8_CR31","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1093\/biomet\/33.3.239","volume":"33","author":"M.G. Kendall","year":"1945","unstructured":"Kendall, M.G.: The treatment of ties in ranking problems. Biometrika 33(3), 239\u2013251 (1945)","journal-title":"Biometrika"},{"key":"8_CR32","doi-asserted-by":"crossref","unstructured":"Kohavi, R., Longbotham, R., Sommerfield, D., Henne, R.M.: Controlled experiments on the web: survey and practical guide. Data Min. Knowl. Discov. 18(1), 140\u2013181 (2009). DOI http:\/\/dx.doi.org\/10.1007\/s10618-008-0114-1","DOI":"10.1007\/s10618-008-0114-1"},{"key":"8_CR33","unstructured":"Konstan, J.A., McNee, S.M., Ziegler, C.N., Torres, R., Kapoor, N., Riedl, J.: Lessons on applying automated recommender systems to information-seeking tasks. In: AAAI (2006)"},{"key":"8_CR34","unstructured":"Koychev, I., Schwab, I.: Adaptation to drifting user\u2019s interests. In: In Proceedings of ECML2000 Workshop: Machine Learning in New Information Age, pp. 39\u201346 (2000)"},{"key":"8_CR35","doi-asserted-by":"crossref","unstructured":"Lam, S.K., Frankowski, D., Riedl, J.: Do you trust your recommendations? an exploration of security and privacy issues in recommender systems. In: In Proceedings of the 2006 Interna296 Guy Shani and Asela Gunawardana tional Conference on Emerging Trends in Information and Communication Security (ETRICS (2006)","DOI":"10.1007\/11766155_2"},{"key":"8_CR36","doi-asserted-by":"crossref","unstructured":"Lam, S.K., Riedl, J.: Shilling recommender systems for fun and profit. In: WWW \u201904: Proceedings of the 13th international conference on World Wide Web, pp. 393\u2013402. ACM, New York, NY, USA (2004). DOI http:\/\/doi.acm.org\/10.1145\/988672.988726","DOI":"10.1145\/988672.988726"},{"key":"8_CR37","doi-asserted-by":"crossref","unstructured":"Mahmood, T., Ricci, F.: Learning and adaptivity in interactive recommender systems. In: ICEC \u201907: Proceedings of the ninth international conference on Electronic commerce, pp. 75\u201384. ACM, New York, NY, USA (2007). DOI http:\/\/doi.acm.org\/10.1145\/1282100.1282114","DOI":"10.1145\/1282100.1282114"},{"key":"8_CR38","unstructured":"Marlin, B.M., Zemel, R.S., Roweis, S., Slaney, M.: Collaborative filtering and the missing at random assumption. In: Proceedings of the 23rd COnference on Uncertainity in Artificial Intelligence (2007)"},{"key":"8_CR39","doi-asserted-by":"crossref","unstructured":"Massa, P., Bhattacharjee, B.: Using trust in recommender systems: An experimental analysis. In: In Proceedings of iTrust2004 International Conference, pp. 221\u2013235 (2004)","DOI":"10.1007\/978-3-540-24747-0_17"},{"key":"8_CR40","doi-asserted-by":"crossref","unstructured":"McLaughlin, M.R., Herlocker, J.L.: A collaborative filtering algorithm and evaluation metric that accurately model the user experience. In: SIGIR \u201904: Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 329\u2013336. ACM, New York, NY, USA (2004). DOI http:\/\/doi.acm.org\/10.1145\/1008992.1009050","DOI":"10.1145\/1008992.1009050"},{"key":"8_CR41","doi-asserted-by":"crossref","unstructured":"McNee, S.M., Riedl, J., Konstan, J.A.: Making recommendations better: an analytic model for human-recommender interaction. In: CHI \u201906: CHI \u201906 extended abstracts on Human factors in computing systems, pp. 1103\u20131108. ACM, New York, NY, USA (2006). DOI http:\/\/doi.acm.org\/10.1145\/1125451.1125660","DOI":"10.1145\/1125451.1125660"},{"key":"8_CR42","doi-asserted-by":"crossref","unstructured":"McSherry, F., Mironov, I.: Differentially private recommender systems: building privacy into the netflix prize contenders. In: KDD \u201909: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 627\u2013636. ACM, New York, NY, USA (2009). DOI http:\/\/doi.acm.org\/10.1145\/1557019.1557090","DOI":"10.1145\/1557019.1557090"},{"key":"8_CR43","doi-asserted-by":"crossref","unstructured":"Mobasher, B., Burke, R., Bhaumik, R., Williams, C.: Toward trustworthy recommender systems: An analysis of attack models and algorithm robustness. ACM Trans. Internet Technol. 7(4), 23 (2007). DOI http:\/\/doi.acm.org\/10.1145\/1278366.1278372","DOI":"10.1145\/1278366.1278372"},{"key":"8_CR44","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1007\/978-3-540-78197-4_5","volume":"4914","author":"T. Murakami","year":"2008","unstructured":"Murakami, T., Mori, K., Orihara, R.: Metrics for evaluating the serendipity of recommendation lists. New Frontiers in Artificial Intelligence 4914, 40\u201346 (2008)","journal-title":"New Frontiers in Artificial Intelligence"},{"issue":"4","key":"8_CR45","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1145\/1031114.1031116","volume":"4","author":"M. O\u2019Mahony","year":"2004","unstructured":"O\u2019Mahony, M., Hurley, N., Kushmerick, N., Silvestre, G.: Collaborative recommendation: A robustness analysis. ACM Trans. Internet Technol. 4(4), 344\u2013377 (2004). DOI http:\/\/doi.acm.org\/10.1145\/1031114.1031116","journal-title":"ACM Trans. Internet Technol."},{"key":"8_CR46","doi-asserted-by":"crossref","unstructured":"Pfleeger, S.L., Kitchenham, B.A.: Principles of survey research. SIGSOFT Softw. Eng. Notes 26(6), 16\u201318 (2001). DOI http:\/\/doi.acm.org\/10.1145\/505532.505535","DOI":"10.1145\/505532.505535"},{"key":"8_CR47","doi-asserted-by":"crossref","unstructured":"Pu, P., Chen, L.: Trust building with explanation interfaces. In: IUI \u201906: Proceedings of the 11th international conference on Intelligent user interfaces, pp. 93\u2013100. ACM, New York, NY, USA (2006). DOI http:\/\/doi.acm.org\/10.1145\/1111449.1111475","DOI":"10.1145\/1111449.1111475"},{"key":"8_CR48","first-page":"579","volume-title":"AIAP\u201907: Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference","author":"S. Queiroz","year":"2007","unstructured":"Queiroz, S.: Adaptive preference elicitation for top-k recommendation tasks using gainetworks. In: AIAP\u201907: Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference, pp. 579\u2013584. ACTA Press, Anaheim, CA, USA (2007)"},{"key":"8_CR49","doi-asserted-by":"crossref","unstructured":"Salzberg, S.L.: On comparing classifiers: Pitfalls toavoid and a recommended approach. Data Min. Knowl. Discov. 1(3), 317\u2013328 (1997). DOI http:\/\/dx.doi.org\/10.1023\/A:1009752403260","DOI":"10.1023\/A:1009752403260"},{"key":"8_CR50","doi-asserted-by":"crossref","unstructured":"Sarwar, B., Karypis, G., Konstan, J., Reidl, J.: Item-based collaborative filtering recommendation algorithms. In:WWW\u201901: Proceedings of the 10th international conference onWorld Wide Web, pp. 285\u2013295. ACM, New York, NY, USA (2001). DOI http:\/\/doi.acm.org\/10.1145\/371920.372071","DOI":"10.1145\/371920.372071"},{"key":"8_CR51","doi-asserted-by":"crossref","unstructured":"Sarwar, B., Karypis, G., Konstan, J., Riedl, J.: Analysis of recommendation algorithms for e-commerce. In: EC \u201900: Proceedings of the 2nd ACM conference on Electronic commerce, pp. 158\u2013167. ACM, New York, NY, USA (2000). DOI http:\/\/doi.acm.org\/10.1145\/352871.352887","DOI":"10.1145\/352871.352887"},{"key":"8_CR52","doi-asserted-by":"crossref","unstructured":"Schein, A.I., Popescul, A., Ungar, L.H., Pennock, D.M.: Methods and metrics for cold-start recommendations. In: SIGIR \u201902: Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 253\u2013260. ACM, New York, NY, USA (2002). DOI http:\/\/doi.acm.org\/10.1145\/564376.564421","DOI":"10.1145\/564376.564421"},{"key":"8_CR53","doi-asserted-by":"crossref","unstructured":"Shani, G., Chickering, D.M., Meek, C.: Mining recommendations from the web. In: RecSys \u201908: Proceedings of the 2008 ACM Conference on Recommender Systems, pp. 35\u201342 (2008)","DOI":"10.1145\/1454008.1454015"},{"key":"8_CR54","first-page":"1265","volume":"6","author":"G. Shani","year":"2005","unstructured":"Shani, G., Heckerman, D., Brafman, R.I.: An mdp-based recommender system. Journal of Machine Learning Research 6, 1265\u20131295 (2005)","journal-title":"Journal of Machine Learning Research"},{"key":"8_CR55","doi-asserted-by":"crossref","unstructured":"Smyth, B., McClave, P.: Similarity vs. diversity. In: ICCBR, pp. 347\u2013361 (2001)","DOI":"10.1007\/3-540-44593-5_25"},{"key":"8_CR56","unstructured":"Spillman, W., Lang, E.: The Law of Diminishing Returns. World Book Company (1924)"},{"key":"8_CR57","unstructured":"Swearingen, K., Sinha, R.: Beyond algorithms: An hci perspective on recommender systems. In: ACM SIGIR 2001 Workshop on Recommender Systems (2001)"},{"key":"8_CR58","unstructured":"Van Rijsbergen, C.J.: Information Retrieval. Butterworth-Heinemann, Newton, MA, USA (1979). URL http:\/\/portal.acm.org\/citation.cfm?id=539927"},{"key":"8_CR59","doi-asserted-by":"crossref","unstructured":"Voorhees, E.M.: Overview of trec 2002. In: In Proceedings of the 11th Text Retrieval Conference (TREC 2002), NIST Special Publication 500-251, pp. 1\u201315 (2002)","DOI":"10.6028\/NIST.SP.500-251"},{"key":"8_CR60","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1007\/3-540-45691-0_34","volume-title":"CLEF \u201901: Revised Papers from the Second Workshop of the Cross-Language Evaluation Forum on Evaluation of Cross-Language Information Retrieval Systems","author":"E.M. Voorhees","year":"2002","unstructured":"Voorhees, E.M.: The philosophy of information retrieval evaluation. In: CLEF \u201901: Revised Papers from the Second Workshop of the Cross-Language Evaluation Forum on Evaluation of Cross-Language Information Retrieval Systems, pp. 355\u2013370. Springer-Verlag, London, UK (2002)"},{"issue":"2","key":"8_CR61","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1002\/(SICI)1097-4571(199503)46:2<133::AID-ASI6>3.0.CO;2-Z","volume":"46","author":"Y.Y. Yao","year":"1995","unstructured":"Yao, Y.Y.: Measuring retrieval effectiveness based on user preference of documents. J. Amer. Soc. Inf. Sys 46(2), 133\u2013145 (1995)","journal-title":"J. Amer. Soc. Inf. Sys"},{"key":"8_CR62","doi-asserted-by":"crossref","unstructured":"Zhang, M., Hurley, N.: Avoiding monotony: improving the diversity of recommendation lists. In: RecSys \u201908: Proceedings of the 2008 ACM conference on Recommender systems, pp. 123\u2013130. ACM, New York, NY, USA (2008). DOI http:\/\/doi.acm.org\/10.1145\/1454008.1454030","DOI":"10.1145\/1454008.1454030"},{"key":"8_CR63","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Callan, J., Minka, T.: Novelty and redundancy detection in adaptive filtering. In: SIGIR \u201902: Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 81\u201388. ACM, New York, NY, USA (2002).DOI http:\/\/doi.acm.org\/10.1145\/564376.564393","DOI":"10.1145\/564376.564393"},{"key":"8_CR64","doi-asserted-by":"crossref","unstructured":"Ziegler, C.N., McNee, S.M., Konstan, J.A., Lausen, G.: Improving recommendation lists through topic diversification. In: WWW \u00b405: Proceedings of the 14th international conference on World Wide Web, pp. 22\u201332. ACM, New York, NY, USA (2005). DOI http:\/\/doi.acm.org\/10.1145\/1060745.1060754","DOI":"10.1145\/1060745.1060754"}],"container-title":["Recommender Systems Handbook"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-0-387-85820-3_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,26]],"date-time":"2025-02-26T22:52:28Z","timestamp":1740610348000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-0-387-85820-3_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,10,5]]},"ISBN":["9780387858197","9780387858203"],"references-count":64,"URL":"https:\/\/doi.org\/10.1007\/978-0-387-85820-3_8","relation":{},"subject":[],"published":{"date-parts":[[2010,10,5]]},"assertion":[{"value":"5 October 2010","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}