{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T02:52:13Z","timestamp":1764557533182,"version":"3.40.3"},"publisher-location":"Cham","reference-count":87,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030503154"},{"type":"electronic","value":"9783030503161"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","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":[[2020]]},"DOI":"10.1007\/978-3-030-50316-1_13","type":"book-chapter","created":{"date-parts":[[2020,6,24]],"date-time":"2020-06-24T09:02:48Z","timestamp":1592989368000},"page":"212-228","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Explainable Recommendations in Intelligent Systems: Delivery Methods, Modalities and Risks"],"prefix":"10.1007","author":[{"given":"Mohammad","family":"Naiseh","sequence":"first","affiliation":[]},{"given":"Nan","family":"Jiang","sequence":"additional","affiliation":[]},{"given":"Jianbing","family":"Ma","sequence":"additional","affiliation":[]},{"given":"Raian","family":"Ali","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,6,25]]},"reference":[{"issue":"2","key":"13_CR1","doi-asserted-by":"publisher","first-page":"140","DOI":"10.12720\/joams.2.2.140-144","volume":"2","author":"MZ Al-Taie","year":"2014","unstructured":"Al-Taie, M.Z., Kadry, S.: Visualization of explanations in recommender systems. J. Adv. Manag. Sci. 2(2), 140\u2013144 (2014)","journal-title":"J. Adv. Manag. Sci."},{"key":"13_CR2","doi-asserted-by":"crossref","unstructured":"Andreou, A., Venkatadri, G., Goga, O., Gummadi, K., Loiseau, P., Mislove, A.: Investigating ad transparency mechanisms in social media: a case study of Facebook\u2019s explanations (2018)","DOI":"10.14722\/ndss.2018.23191"},{"key":"13_CR3","doi-asserted-by":"publisher","first-page":"244","DOI":"10.1016\/j.eswa.2017.03.009","volume":"80","author":"A Arioua","year":"2017","unstructured":"Arioua, A., Buche, P., Croitoru, M.: Explanatory dialogues with argumentative faculties over inconsistent knowledge bases. Expert Syst. Appl. 80, 244\u2013262 (2017)","journal-title":"Expert Syst. Appl."},{"key":"13_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1007\/978-3-642-28509-7_10","volume-title":"Advances in User Modeling","author":"R Bader","year":"2012","unstructured":"Bader, R., Woerndl, W., Karitnig, A., Leitner, G.: Designing an explanation interface for proactive recommendations in automotive scenarios. In: Ardissono, L., Kuflik, T. (eds.) UMAP 2011. LNCS, vol. 7138, pp. 92\u2013104. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-28509-7_10"},{"key":"13_CR5","doi-asserted-by":"crossref","unstructured":"Barria-Pineda, J., Akhuseyinoglu, K., Brusilovsky, P.: Explaining need-based educational recommendations using interactive open learner models. In: Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization, pp. 273\u2013277. ACM (2019)","DOI":"10.1145\/3314183.3323463"},{"key":"13_CR6","doi-asserted-by":"crossref","unstructured":"Binns, R., Van Kleek, M., Veale, M., Lyngs, U., Zhao, J., Shadbolt, N.: \u2018It\u2019s reducing a human being to a percentage\u2019: perceptions of justice in algorithmic decisions. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, p. 377. ACM (2018)","DOI":"10.1145\/3173574.3173951"},{"key":"13_CR7","doi-asserted-by":"crossref","unstructured":"Biran, O., McKeown, K.R.: Human-centric justification of machine learning predictions. In: IJCAI, pp. 1461\u20131467 (2017)","DOI":"10.24963\/ijcai.2017\/202"},{"key":"13_CR8","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/j.is.2015.08.003","volume":"56","author":"JN Blake","year":"2016","unstructured":"Blake, J.N., Kerr, D.V., Gammack, J.G.: Streamlining patient consultations for sleep disorders with a knowledge-based cdss. Inf. Syst. 56, 109\u2013119 (2016)","journal-title":"Inf. Syst."},{"key":"13_CR9","doi-asserted-by":"crossref","unstructured":"Bostandjiev, S., O\u2019Donovan, J., H\u00f6llerer, T.: TasteWeights: a visual interactive hybrid recommender system. In: Proceedings of the sixth ACM Conference on Recommender systems, pp. 35\u201342. ACM (2012)","DOI":"10.1145\/2365952.2365964"},{"key":"13_CR10","doi-asserted-by":"crossref","unstructured":"Brooks, M., Amershi, S., Lee, B., Drucker, S.M., Kapoor, A., Simard, P.: FeatureInsight: visual support for error-driven feature ideation in text classification. In: 2015 IEEE Conference on Visual Analytics Science and Technology (VAST), pp. 105\u2013112. IEEE (2015)","DOI":"10.1109\/VAST.2015.7347637"},{"key":"13_CR11","doi-asserted-by":"crossref","unstructured":"Bunt, A., Lount, M., Lauzon, C.: Are explanations always important?: A study of deployed, low-cost intelligent interactive systems. In: Proceedings of the 2012 ACM International Conference on Intelligent User Interfaces, pp. 169\u2013178. ACM (2012)","DOI":"10.1145\/2166966.2166996"},{"key":"13_CR12","doi-asserted-by":"crossref","unstructured":"Bussone, A., Stumpf, S., O\u2019Sullivan, D.: The role of explanations on trust and reliance in clinical decision support systems. In: 2015 International Conference on Healthcare Informatics, pp. 160\u2013169. IEEE (2015)","DOI":"10.1109\/ICHI.2015.26"},{"key":"13_CR13","doi-asserted-by":"crossref","unstructured":"Cai, C.J., Jongejan, J., Holbrook, J.: The effects of example-based explanations in a machine learning interface. In: Proceedings of the 24th International Conference on Intelligent User Interfaces, pp. 258\u2013262. ACM (2019)","DOI":"10.1145\/3301275.3302289"},{"key":"13_CR14","unstructured":"Chromik, M., Eiband, M., V\u00f6lkel, S.T., Buschek, D.: Dark patterns of explainability, transparency, and user control for intelligent systems. In: IUI Workshops (2019)"},{"key":"13_CR15","doi-asserted-by":"crossref","unstructured":"Coba, L., Zanker, M., Rook, L., Symeonidis, P.: Exploring users\u2019 perception of collaborative explanation styles. In: 2018 IEEE 20th Conference on Business Informatics (CBI), vol. 1, pp. 70\u201378. IEEE (2018)","DOI":"10.1109\/CBI.2018.00017"},{"key":"13_CR16","unstructured":"D\u00edaz-Agudo, B., Recio-Garcia, J.A., Jimenez-D\u00edaz, G.: Data explanation with CBR. In: ICCBR 2018, p. 64 (2018)"},{"key":"13_CR17","doi-asserted-by":"crossref","unstructured":"Dodge, J., Liao, Q.V., Zhang, Y., Bellamy, R.K., Dugan, C.: Explaining models: an empirical study of how explanations impact fairness judgment. In: Proceedings of the 24th International Conference on Intelligent User Interfaces, pp. 275\u2013285. ACM (2019)","DOI":"10.1145\/3301275.3302310"},{"key":"13_CR18","doi-asserted-by":"crossref","unstructured":"Dominguez, V., Messina, P., Donoso-Guzm\u00e1n, I., Parra, D.: The effect of explanations and algorithmic accuracy on visual recommender systems of artistic images. In: Proceedings of the 24th International Conference on Intelligent User Interfaces, pp. 408\u2013416. ACM (2019)","DOI":"10.1145\/3301275.3302274"},{"issue":"2","key":"13_CR19","first-page":"32","volume":"30","author":"E Du Toit","year":"2012","unstructured":"Du Toit, E.: Constructive feedback as a learning tool to enhance students\u2019 self-regulation and performance in higher education. Perspect. Educ. 30(2), 32\u201340 (2012)","journal-title":"Perspect. Educ."},{"key":"13_CR20","doi-asserted-by":"crossref","unstructured":"Ehrlich, K., Kirk, S.E., Patterson, J., Rasmussen, J.C., Ross, S.I., Gruen, D.M.: Taking advice from intelligent systems: the double-edged sword of explanations. In: Proceedings of the 16th International Conference on Intelligent User Interfaces, pp. 125\u2013134. ACM (2011)","DOI":"10.1145\/1943403.1943424"},{"key":"13_CR21","doi-asserted-by":"crossref","unstructured":"Eiband, M., Buschek, D., Kremer, A., Hussmann, H.: The impact of placebic explanations on trust in intelligent systems. In: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, p. LBW0243. ACM (2019)","DOI":"10.1145\/3290607.3312787"},{"key":"13_CR22","unstructured":"Eiband, M., Schneider, H., Buschek, D.: Normative vs. pragmatic: two perspectives on the design of explanations in intelligent systems. In: IUI Workshops (2018)"},{"key":"13_CR23","doi-asserted-by":"crossref","unstructured":"Eiband, M., V\u00f6lkel, S.T., Buschek, D., Cook, S., Hussmann, H.: When people and algorithms meet: user-reported problems in intelligent everyday applications. In: Proceedings of the 24th International Conference on Intelligent User Interfaces, pp. 96\u2013106. ACM (2019)","DOI":"10.1145\/3301275.3302262"},{"key":"13_CR24","unstructured":"Elahi, M., Ge, M., Ricci, F., Fern\u00e1ndez-Tob\u00edas, I., Berkovsky, S., David, M.: Interaction design in a mobile food recommender system. In: CEUR Workshop Proceedings, CEUR-WS (2015)"},{"key":"13_CR25","doi-asserted-by":"crossref","unstructured":"Eslami, M., Krishna Kumaran, S.R., Sandvig, C., Karahalios, K.: Communicating algorithmic process in online behavioral advertising. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, p. 432. ACM (2018)","DOI":"10.1145\/3173574.3174006"},{"key":"13_CR26","doi-asserted-by":"crossref","unstructured":"Galindo, J.A., Dupuy-Chessa, S., Mandran, N., C\u00e9ret, E.: Using user emotions to trigger UI adaptation. In: 2018 12th International Conference on Research Challenges in Information Science (RCIS), pp. 1\u201311. IEEE (2018)","DOI":"10.1109\/RCIS.2018.8406661"},{"issue":"4","key":"13_CR27","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1016\/j.ijhcs.2013.12.007","volume":"72","author":"F Gedikli","year":"2014","unstructured":"Gedikli, F., Jannach, D., Ge, M.: How should I explain? A comparison of different explanation types for recommender systems. Int. J. Hum Comput. Stud. 72(4), 367\u2013382 (2014)","journal-title":"Int. J. Hum Comput. Stud."},{"key":"13_CR28","unstructured":"Goodman, B., Flaxman, S.: Eu regulations on algorithmic decision-making and a \u2018right to explanation\u2019. In: ICML Workshop on Human Interpretability in Machine Learning (WHI 2016), New York (2016)"},{"key":"13_CR29","doi-asserted-by":"crossref","unstructured":"Gretarsson, B., O\u2019Donovan, J., Bostandjiev, S., Hall, C., H\u00f6llerer, T.: SmallWorlds: visualizing social recommendations. In: Computer Graphics Forum, vol. 29, pp. 833\u2013842. Wiley Online Library (2010)","DOI":"10.1111\/j.1467-8659.2009.01679.x"},{"key":"13_CR30","doi-asserted-by":"crossref","unstructured":"Guti\u00e9rrez, F., Charleer, S., De Croon, R., Htun, N.N., Goetschalckx, G., Verbert, K.: Explaining and exploring job recommendations: a user-driven approach for interacting with knowledge-based job recommender systems. In: Proceedings of the 13th ACM Conference on Recommender Systems, pp. 60\u201368 (2019)","DOI":"10.1145\/3298689.3347001"},{"issue":"9","key":"13_CR31","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1109\/MC.2018.3620965","volume":"51","author":"H Hagras","year":"2018","unstructured":"Hagras, H.: Toward human-understandable, explainable AI. Computer 51(9), 28\u201336 (2018)","journal-title":"Computer"},{"key":"13_CR32","unstructured":"ter Hoeve, M., Heruer, M., Odijk, D., Schuth, A., de Rijke, M.: Do news consumers want explanations for personalized news rankings. In: FATREC Workshop on Responsible Recommendation Proceedings (2017)"},{"key":"13_CR33","doi-asserted-by":"crossref","unstructured":"Holliday, D., Wilson, S., Stumpf, S.: The effect of explanations on perceived control and behaviors in intelligent systems. In: CHI 2013 Extended Abstracts on Human Factors in Computing Systems, pp. 181\u2013186. ACM (2013)","DOI":"10.1145\/2468356.2468389"},{"key":"13_CR34","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/j.cosrev.2015.05.001","volume":"17","author":"M Hosseini","year":"2015","unstructured":"Hosseini, M., Shahri, A., Phalp, K., Taylor, J., Ali, R.: Crowdsourcing: a taxonomy and systematic mapping study. Comput. Sci. Rev. 17, 43\u201369 (2015)","journal-title":"Comput. Sci. Rev."},{"key":"13_CR35","doi-asserted-by":"crossref","unstructured":"Hu, J., Zhang, Z., Liu, J., Shi, C., Yu, P.S., Wang, B.: RecExp: a semantic recommender system with explanation based on heterogeneous information network. In: Proceedings of the 10th ACM Conference on Recommender Systems, pp. 401\u2013402. ACM (2016)","DOI":"10.1145\/2959100.2959112"},{"key":"13_CR36","doi-asserted-by":"crossref","unstructured":"Huang, S.H., Bhatia, K., Abbeel, P., Dragan, A.D.: Establishing appropriate trust via critical states. In: 2018 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3929\u20133936. IEEE (2018)","DOI":"10.1109\/IROS.2018.8593649"},{"key":"13_CR37","doi-asserted-by":"crossref","unstructured":"Hussein, T., Neuhaus, S.: Explanation of spreading activation based recommendations. In: Proceedings of the 1st International Workshop on Semantic Models for Adaptive Interactive Systems, SEMAIS, vol. 10, pp. 24\u201328. Citeseer (2010)","DOI":"10.1145\/2002375.2002381"},{"key":"13_CR38","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1007\/978-3-319-47874-6_20","volume-title":"Social Informatics","author":"B Kang","year":"2016","unstructured":"Kang, B., Tintarev, N., H\u00f6llerer, T., O\u2019Donovan, J.: What am I not seeing? An interactive approach to social content discovery in microblogs. In: Spiro, E., Ahn, Y.-Y. (eds.) SocInfo 2016. LNCS, vol. 10047, pp. 279\u2013294. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-47874-6_20"},{"key":"13_CR39","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10639-019-09909-z","volume":"24","author":"S Karga","year":"2019","unstructured":"Karga, S., Satratzemi, M.: Using explanations for recommender systems in learning design settings to enhance teachers\u2019 acceptance and perceived experience. Educ. Inf. Technol. 24, 1\u201322 (2019)","journal-title":"Educ. Inf. Technol."},{"key":"13_CR40","doi-asserted-by":"crossref","unstructured":"Katarya, R., Jain, I., Hasija, H.: An interactive interface for instilling trust and providing diverse recommendations. In: 2014 International Conference on Computer and Communication Technology (ICCCT), pp. 17\u201322. IEEE (2014)","DOI":"10.1109\/ICCCT.2014.7001463"},{"key":"13_CR41","doi-asserted-by":"crossref","unstructured":"Kleinerman, A., Rosenfeld, A., Kraus, S.: Providing explanations for recommendations in reciprocal environments. In: Proceedings of the 12th ACM Conference on Recommender Systems, pp. 22\u201330. ACM (2018)","DOI":"10.1145\/3240323.3240362"},{"issue":"3","key":"13_CR42","first-page":"20","volume":"3","author":"BP Knijnenburg","year":"2013","unstructured":"Knijnenburg, B.P., Kobsa, A.: Making decisions about privacy: information disclosure in context-aware recommender systems. ACM Trans. Interact. Intell. Syst. (TiiS) 3(3), 20 (2013)","journal-title":"ACM Trans. Interact. Intell. Syst. (TiiS)"},{"key":"13_CR43","unstructured":"Krause, J., Perer, A., Bertini, E.: A user study on the effect of aggregating explanations for interpreting machine learning models. In: ACM KDD Workshop on Interactive Data Exploration and Analytics (2018)"},{"key":"13_CR44","first-page":"633","volume":"165","author":"JA Kroll","year":"2016","unstructured":"Kroll, J.A., Barocas, S., Felten, E.W., Reidenberg, J.R., Robinson, D.G., Yu, H.: Accountable algorithms. U. Pa. L. Rev. 165, 633 (2016)","journal-title":"U. Pa. L. Rev."},{"key":"13_CR45","doi-asserted-by":"crossref","unstructured":"Kulesza, T., Burnett, M., Wong, W.K., Stumpf, S.: Principles of explanatory debugging to personalize interactive machine learning. In: Proceedings of the 20th International Conference on Intelligent User Interfaces, pp. 126\u2013137. ACM (2015)","DOI":"10.1145\/2678025.2701399"},{"key":"13_CR46","doi-asserted-by":"crossref","unstructured":"Kulesza, T., Stumpf, S., Burnett, M., Kwan, I.: Tell me more?: The effects of mental model soundness on personalizing an intelligent agent. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1\u201310. ACM (2012)","DOI":"10.1145\/2207676.2207678"},{"key":"13_CR47","doi-asserted-by":"crossref","unstructured":"Kulesza, T., Stumpf, S., Burnett, M., Yang, S., Kwan, I., Wong, W.K.: Too much, too little, or just right? Ways explanations impact end users\u2019 mental models. In: 2013 IEEE Symposium on Visual Languages and Human Centric Computing, pp. 3\u201310. IEEE (2013)","DOI":"10.1109\/VLHCC.2013.6645235"},{"key":"13_CR48","doi-asserted-by":"crossref","unstructured":"Lai, V., Tan, C.: On human predictions with explanations and predictions of machine learning models: a case study on deception detection, pp. 29\u201338 (2019)","DOI":"10.1145\/3287560.3287590"},{"key":"13_CR49","unstructured":"Lamche, B., Ad\u0131g\u00fczel, U., W\u00f6rndl, W.: Interactive explanations in mobile shopping recommender systems. In: Joint Workshop on Interfaces and Human Decision Making in Recommender Systems, p. 14 (2014)"},{"key":"13_CR50","doi-asserted-by":"crossref","unstructured":"Langley, P., Meadows, B., Sridharan, M., Choi, D.: Explainable agency for intelligent autonomous systems. In: Twenty-Ninth IAAI Conference (2017)","DOI":"10.1609\/aaai.v31i2.19108"},{"key":"13_CR51","doi-asserted-by":"crossref","unstructured":"Le Bras, P., Robb, D.A., Methven, T.S., Padilla, S., Chantler, M.J.: Improving user confidence in concept maps: exploring data driven explanations. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, p. 404. ACM (2018)","DOI":"10.1145\/3173574.3173978"},{"key":"13_CR52","doi-asserted-by":"crossref","unstructured":"Leon, P.G., Cranshaw, J., Cranor, L.F., Graves, J., Hastak, M., Xu, G.: What do online behavioral advertising disclosures communicate to users? (cmu-cylab-12-008) (2012)","DOI":"10.1145\/2381966.2381970"},{"issue":"4","key":"13_CR53","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1007\/s13347-017-0279-x","volume":"31","author":"B Lepri","year":"2018","unstructured":"Lepri, B., Oliver, N., Letouz\u00e9, E., Pentland, A., Vinck, P.: Fair, transparent, and accountable algorithmic decision-making processes. Philos. Technol. 31(4), 611\u2013627 (2018)","journal-title":"Philos. Technol."},{"key":"13_CR54","doi-asserted-by":"crossref","unstructured":"Li, T., Convertino, G., Tayi, R.K., Kazerooni, S.: What data should I protect?: Recommender and planning support for data security analysts. In: IUI, pp. 286\u2013297 (2019)","DOI":"10.1145\/3301275.3302294"},{"key":"13_CR55","doi-asserted-by":"crossref","unstructured":"Lim, B.Y., Dey, A.K.: Assessing demand for intelligibility in context-aware applications. In: Proceedings of the 11th International Conference on Ubiquitous Computing, pp. 195\u2013204. ACM (2009)","DOI":"10.1145\/1620545.1620576"},{"key":"13_CR56","doi-asserted-by":"crossref","unstructured":"Loepp, B., Herrmanny, K., Ziegler, J.: Blended recommending: integrating interactive information filtering and algorithmic recommender techniques. In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, pp. 975\u2013984. ACM (2015)","DOI":"10.1145\/2702123.2702496"},{"key":"13_CR57","doi-asserted-by":"crossref","unstructured":"Millecamp, M., Htun, N.N., Conati, C., Verbert, K.: To explain or not to explain: the effects of personal characteristics when explaining music recommendations. In: IUI, pp. 397\u2013407 (2019)","DOI":"10.1145\/3301275.3302313"},{"key":"13_CR58","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.artint.2018.07.007","volume":"267","author":"T Miller","year":"2018","unstructured":"Miller, T.: Explanation in artificial intelligence: insights from the social sciences. Artif. Intell. 267, 1\u201338 (2018)","journal-title":"Artif. Intell."},{"issue":"4","key":"13_CR59","doi-asserted-by":"publisher","first-page":"264","DOI":"10.7326\/0003-4819-151-4-200908180-00135","volume":"151","author":"D Moher","year":"2009","unstructured":"Moher, D., Liberati, A., Tetzlaff, J., Altman, D.G.: Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann. Int. Med. 151(4), 264\u2013269 (2009)","journal-title":"Ann. Int. Med."},{"key":"13_CR60","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"244","DOI":"10.1007\/978-3-319-24586-7_17","volume-title":"Case-Based Reasoning Research and Development","author":"K Muhammad","year":"2015","unstructured":"Muhammad, K., Lawlor, A., Rafter, R., Smyth, B.: Great explanations: opinionated explanations for recommendations. In: H\u00fcllermeier, E., Minor, M. (eds.) ICCBR 2015. LNCS (LNAI), vol. 9343, pp. 244\u2013258. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-24586-7_17"},{"key":"13_CR61","doi-asserted-by":"crossref","unstructured":"Naiseh, M., Jiang, N., Ma, J., Ali, R.: Personalising explainable recommendations: literature and conceptualisation. In: WorldCist 2020 - 8th World Conference on Information Systems and Technologies. Springer, Heidelberg (2020)","DOI":"10.1007\/978-3-030-45691-7_49"},{"key":"13_CR62","unstructured":"Narayanan, M., Chen, E., He, J., Kim, B., Gershman, S., Doshi-Velez, F.: How do humans understand explanations from machine learning systems? An evaluation of the human-interpretability of explanation (2018)"},{"key":"13_CR63","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1007\/978-3-319-51168-9_2","volume-title":"Information and Communication Technologies in Tourism 2017","author":"TN Nguyen","year":"2017","unstructured":"Nguyen, T.N., Ricci, F.: A chat-based group recommender system for tourism. In: Schegg, R., Stangl, B. (eds.) Information and Communication Technologies in Tourism 2017, pp. 17\u201330. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-51168-9_2"},{"issue":"3\u20135","key":"13_CR64","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1007\/s11257-017-9195-0","volume":"27","author":"I Nunes","year":"2017","unstructured":"Nunes, I., Jannach, D.: A systematic review and taxonomy of explanations in decision support and recommender systems. User Model. User-Adap. Inter. 27(3\u20135), 393\u2013444 (2017)","journal-title":"User Model. User-Adap. Inter."},{"key":"13_CR65","doi-asserted-by":"crossref","unstructured":"Paraschakis, D.: Towards an ethical recommendation framework. In: 2017 11th International Conference on Research Challenges in Information Science (RCIS), pp. 211\u2013220. IEEE (2017)","DOI":"10.1109\/RCIS.2017.7956539"},{"key":"13_CR66","doi-asserted-by":"crossref","unstructured":"Parra, D., Brusilovsky, P., Trattner, C.: See what you want to see: visual user-driven approach for hybrid recommendation. In: Proceedings of the 19th International Conference on Intelligent User Interfaces, pp. 235\u2013240. ACM (2014)","DOI":"10.1145\/2557500.2557542"},{"key":"13_CR67","unstructured":"Poursabzi-Sangdeh, F., Goldstein, D.G., Hofman, J.M., Vaughan, J.W., Wallach, H.: Manipulating and measuring model interpretability (2018)"},{"key":"13_CR68","doi-asserted-by":"crossref","unstructured":"Ramachandran, D., et al.: A TV program discovery dialog system using recommendations. In: Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue, pp. 435\u2013437 (2015)","DOI":"10.18653\/v1\/W15-4659"},{"issue":"6","key":"13_CR69","doi-asserted-by":"publisher","first-page":"673","DOI":"10.1007\/s10458-019-09408-y","volume":"33","author":"A Rosenfeld","year":"2019","unstructured":"Rosenfeld, A., Richardson, A.: Explainability in human-agent systems. Auton. Agent. Multi-Agent Syst. 33(6), 673\u2013705 (2019)","journal-title":"Auton. Agent. Multi-Agent Syst."},{"key":"13_CR70","doi-asserted-by":"crossref","unstructured":"Ruiz-Iniesta, A., Melgar, L., Baldominos, A., Quintana, D.: Improving childrens\u2019 experience on a mobile EdTech platform through a recommender system. Mob. Inf. Syst. 2018 (2018)","DOI":"10.1155\/2018\/1374017"},{"key":"13_CR71","unstructured":"Samek, W., Wiegand, T., M\u00fcller, K.R.: Explainable artificial intelligence: understanding, visualizing and interpreting deep learning models (2017)"},{"key":"13_CR72","doi-asserted-by":"crossref","unstructured":"Sato, M., Ahsan, B., Nagatani, K., Sonoda, T., Zhang, Q., Ohkuma, T.: Explaining recommendations using contexts. In: 23rd International Conference on Intelligent User Interfaces, pp. 659\u2013664. ACM (2018)","DOI":"10.1145\/3172944.3173012"},{"key":"13_CR73","doi-asserted-by":"crossref","unstructured":"Sch\u00e4fer, H., et al.: Towards health (aware) recommender systems. In: Proceedings of the 2017 International Conference on Digital Health, pp. 157\u2013161. ACM (2017)","DOI":"10.1145\/3079452.3079499"},{"key":"13_CR74","doi-asserted-by":"crossref","unstructured":"Schaffer, J., Giridhar, P., Jones, D., H\u00f6llerer, T., Abdelzaher, T., O\u2019donovan, J.: Getting the message?: A study of explanation interfaces for microblog data analysis. In: Proceedings of the 20th International Conference on Intelligent User Interfaces, pp. 345\u2013356. ACM (2015)","DOI":"10.1145\/2678025.2701406"},{"key":"13_CR75","doi-asserted-by":"crossref","unstructured":"Schaffer, J., O\u2019Donovan, J., Michaelis, J., Raglin, A., H\u00f6llerer, T.: I can do better than your AI: expertise and explanations. In: IUI, pp. 240\u2013251 (2019)","DOI":"10.1145\/3301275.3302308"},{"key":"13_CR76","doi-asserted-by":"crossref","unstructured":"Springer, A., Whittaker, S.: Progressive disclosure: empirically motivated approaches to designing effective transparency, pp. 107\u2013120 (2019)","DOI":"10.1145\/3301275.3302322"},{"issue":"8","key":"13_CR77","doi-asserted-by":"publisher","first-page":"639","DOI":"10.1016\/j.ijhcs.2009.03.004","volume":"67","author":"S Stumpf","year":"2009","unstructured":"Stumpf, S., et al.: Interacting meaningfully with machine learning systems: three experiments. Int. J. Hum. Comput. Stud. 67(8), 639\u2013662 (2009)","journal-title":"Int. J. Hum. Comput. Stud."},{"key":"13_CR78","unstructured":"Stumpf, S., Skrebe, S., Aymer, G., Hobson, J.: Explaining smart heating systems to discourage fiddling with optimized behavior. In: CEUR Workshop Proceedings, vol. 2068 (2018)"},{"issue":"1","key":"13_CR79","doi-asserted-by":"publisher","first-page":"179","DOI":"10.2298\/CSIS171217012S","volume":"16","author":"M Svrcek","year":"2019","unstructured":"Svrcek, M., Kompan, M., Bielikova, M.: Towards understandable personalized recommendations: hybrid explanations. Comput. Sci. Inf. Syst. 16(1), 179\u2013203 (2019)","journal-title":"Comput. Sci. Inf. Syst."},{"key":"13_CR80","doi-asserted-by":"crossref","unstructured":"Tamagnini, P., Krause, J., Dasgupta, A., Bertini, E.: Interpreting black-box classifiers using instance-level visual explanations. In: Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics, p. 6. ACM (2017)","DOI":"10.1145\/3077257.3077260"},{"key":"13_CR81","doi-asserted-by":"crossref","unstructured":"Tsai, C.H., Brusilovsky, P.: Providing control and transparency in a social recommender system for academic conferences. In: Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, pp. 313\u2013317. ACM (2017)","DOI":"10.1145\/3079628.3079701"},{"key":"13_CR82","doi-asserted-by":"crossref","unstructured":"Tsai, C.H., Brusilovsky, P.: Explaining recommendations in an interactive hybrid social recommender. In: Proceedings of the 24th International Conference on Intelligent User Interfaces, pp. 391\u2013396. ACM (2019)","DOI":"10.1145\/3301275.3302318"},{"key":"13_CR83","doi-asserted-by":"crossref","unstructured":"Verbert, K., Parra, D., Brusilovsky, P., Duval, E.: Visualizing recommendations to support exploration, transparency and controllability. In: Proceedings of the 2013 International Conference on Intelligent User Interfaces, pp. 351\u2013362. ACM (2013)","DOI":"10.1145\/2449396.2449442"},{"key":"13_CR84","doi-asserted-by":"crossref","unstructured":"Wiebe, M., Geiskkovitch, D.Y., Bunt, A.: Exploring user attitudes towards different approaches to command recommendation in feature-rich software. In: Proceedings of the 21st International Conference on Intelligent User Interfaces, pp. 43\u201347. ACM (2016)","DOI":"10.1145\/2856767.2856814"},{"key":"13_CR85","doi-asserted-by":"crossref","unstructured":"Zanker, M., Ninaus, D.: Knowledgeable explanations for recommender systems. In: 2010 IEEE\/WIC\/ACM International Conference on Web Intelligence and Intelligent Agent Technology, vol. 1, pp. 657\u2013660. IEEE (2010)","DOI":"10.1109\/WI-IAT.2010.131"},{"key":"13_CR86","unstructured":"Zanker, M., Schoberegger, M.: An empirical study on the persuasiveness of fact-based explanations for recommender systems. In: Joint Workshop on Interfaces and Human Decision Making in Recommender Systems, vol. 1253, pp. 33\u201336 (2014)"},{"issue":"4","key":"13_CR87","first-page":"41","volume":"10","author":"G Zhao","year":"2019","unstructured":"Zhao, G., et al.: Personalized reason generation for explainable song recommendation. ACM Trans. Intell. Syst. Technol. (TIST) 10(4), 41 (2019)","journal-title":"ACM Trans. Intell. Syst. Technol. (TIST)"}],"container-title":["Lecture Notes in Business Information Processing","Research Challenges in Information Science"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-50316-1_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,30]],"date-time":"2022-10-30T05:37:07Z","timestamp":1667108227000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-50316-1_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030503154","9783030503161"],"references-count":87,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-50316-1_13","relation":{},"ISSN":["1865-1348","1865-1356"],"issn-type":[{"type":"print","value":"1865-1348"},{"type":"electronic","value":"1865-1356"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"25 June 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"RCIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Research Challenges in Information Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Limassol","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cyprus","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 September 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"rcis2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.rcis-conf.com\/rcis2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"106","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"26","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"25% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.05","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"There are also 12 poster and demo papers, and 4 Doctoral Consortium papers","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}