{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T16:02:43Z","timestamp":1782230563103,"version":"3.54.5"},"reference-count":43,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2024,10,8]],"date-time":"2024-10-08T00:00:00Z","timestamp":1728345600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,10,8]],"date-time":"2024-10-08T00:00:00Z","timestamp":1728345600000},"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":["J Intell Inf Syst"],"published-print":{"date-parts":[[2025,4]]},"DOI":"10.1007\/s10844-024-00896-3","type":"journal-article","created":{"date-parts":[[2024,10,8]],"date-time":"2024-10-08T05:01:54Z","timestamp":1728363714000},"page":"413-439","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Persuasive explanations for path reasoning recommendations"],"prefix":"10.1007","volume":"63","author":[{"given":"Havva","family":"Alizadeh Noughabi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Behshid","family":"Behkamal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fattane","family":"Zarrinkalam","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohsen","family":"Kahani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,10,8]]},"reference":[{"issue":"9","key":"896_CR1","doi-asserted-by":"publisher","first-page":"137","DOI":"10.3390\/a11090137","volume":"11","author":"Q Ai","year":"2018","unstructured":"Ai, Q., Azizi, V., Chen, X., et al. (2018). Learning heterogeneous knowledge base embeddings for explainable recommendation. Algorithms, 11(9), 137. https:\/\/doi.org\/10.3390\/a11090137","journal-title":"Algorithms"},{"issue":"3","key":"896_CR2","doi-asserted-by":"publisher","first-page":"10326","DOI":"10.1016\/j.ipm.2023.103269","volume":"60","author":"SZ Alavijeh","year":"2023","unstructured":"Alavijeh, S. Z., Zarrinkalam, F., Noorian, Z., et al. (2023). What users\u2019 musical preference on twitter reveals about psychological disorders. Information Processing & Management, 60(3), 10326. https:\/\/doi.org\/10.1016\/j.ipm.2023.103269","journal-title":"Information Processing & Management"},{"key":"896_CR3","unstructured":"Alslaity, A., & Tran, T. (2020). The effect of personality traits on persuading recommender system users. In: IntRS\u201920-Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, pp 48\u201356, https:\/\/ceur-ws.org\/Vol-2682\/paper5.pdf"},{"key":"896_CR4","doi-asserted-by":"publisher","first-page":"679459","DOI":"10.3389\/frai.2021.679459","volume":"4","author":"A Alslaity","year":"2021","unstructured":"Alslaity, A., & Tran, T. (2021). Users\u2019 responsiveness to persuasive techniques in recommender systems. Frontiers in Artificial Intelligence, 4, 679459. https:\/\/doi.org\/10.3389\/frai.2021.679459","journal-title":"Frontiers in Artificial Intelligence"},{"key":"896_CR5","doi-asserted-by":"publisher","unstructured":"Balloccu, G., Boratto, L., Fenu, G., et\u00a0al. (2022). Post processing recommender systems with knowledge graphs for recency, popularity, and diversity of explanations. In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp 646\u2013656,https:\/\/doi.org\/10.1145\/3477495.3532041","DOI":"10.1145\/3477495.3532041"},{"key":"896_CR6","doi-asserted-by":"publisher","unstructured":"Balloccu, G., Boratto, L., Cancedda, C., et\u00a0al. (2023a). Knowledge is power, understanding is impact: Utility and beyond goals, explanation quality, and fairness in path reasoning recommendation. In: European Conference on Information Retrieval, Springer, pp 3\u201319,https:\/\/doi.org\/10.1007\/978-3-031-28241-6_1","DOI":"10.1007\/978-3-031-28241-6_1"},{"key":"896_CR7","doi-asserted-by":"publisher","first-page":"110098","DOI":"10.1016\/j.knosys.2022.110098","volume":"260","author":"G Balloccu","year":"2023","unstructured":"Balloccu, G., Boratto, L., Fenu, G., et al. (2023). Reinforcement recommendation reasoning through knowledge graphs for explanation path quality. Knowledge-Based Systems, 260, 110098. https:\/\/doi.org\/10.1016\/j.knosys.2022.110098","journal-title":"Knowledge-Based Systems"},{"key":"896_CR8","doi-asserted-by":"publisher","unstructured":"Bellini, V., Di\u00a0Sciascio, E., Donini, F. M., et\u00a0al. (2024). A qualitative analysis of knowledge graphs in recommendation scenarios through semantics-aware autoencoders. Journal of Intelligent Information Systems pp 1\u201321.https:\/\/doi.org\/10.1007\/s10844-023-00830-z","DOI":"10.1007\/s10844-023-00830-z"},{"issue":"2","key":"896_CR9","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1016\/S0010-8804(02)80030-1","volume":"43","author":"RB Cialdini","year":"2002","unstructured":"Cialdini, R. B., & Goldstein, N. J. (2002). The science and practice of persuasion. Cornell Hotel and Restaurant Administration Quarterly, 43(2), 40\u201350. https:\/\/doi.org\/10.1016\/S0010-8804(02)80030-1","journal-title":"Cornell Hotel and Restaurant Administration Quarterly"},{"issue":"7","key":"896_CR10","doi-asserted-by":"publisher","first-page":"9","DOI":"10.3390\/data7070094","volume":"7","author":"RF Doh","year":"2022","unstructured":"Doh, R. F., Zhou, C., Arthur, J. K., et al. (2022). A systematic review of deep knowledge graph-based recommender systems, with focus on explainable embeddings. Data, 7(7), 9. https:\/\/doi.org\/10.3390\/data7070094","journal-title":"Data"},{"key":"896_CR11","doi-asserted-by":"publisher","unstructured":"Fatahi, S., Mousavifar, M., & Vassileva, J. (2023). Investigating the effectiveness of persuasive justification messages in fair music recommender systems for users with different personality traits. In: Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, pp 66\u201377,https:\/\/doi.org\/10.1145\/3565472.3592958","DOI":"10.1145\/3565472.3592958"},{"key":"896_CR12","unstructured":"Gkika, S., & Lekakos, G. (2014). The persuasive role of explanations in recommender systems. In: BCSS@ PERSUASIVE, pp 59\u201368, https:\/\/ceur-ws.org\/Vol-1153\/Paper_6.pdf"},{"key":"896_CR13","doi-asserted-by":"publisher","unstructured":"Hu, B., Shi, C., Zhao, W. X., et\u00a0al. (2018). Leveraging meta-path based context for top-n recommendation with a neural co-attention model. In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp 1531\u2013154https:\/\/doi.org\/10.1145\/3219819.3219965","DOI":"10.1145\/3219819.3219965"},{"key":"896_CR14","doi-asserted-by":"publisher","unstructured":"Huang, C., Gan, Z., Ye, F., et\u00a0al. (2020). Kncr: Knowledge-aware neural collaborative ranking for recommender systems. In: 2020 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC\/PiCom\/CBDCom\/CyberSciTech), IEEE, pp 339\u201334https:\/\/doi.org\/10.1109\/DASC-PICom-CBDCom-CyberSciTech49142.2020.00066","DOI":"10.1109\/DASC-PICom-CBDCom-CyberSciTech49142.2020.00066"},{"issue":"4","key":"896_CR15","doi-asserted-by":"publisher","first-page":"422","DOI":"10.1145\/582415.582418","volume":"20","author":"K J\u00e4rvelin","year":"2002","unstructured":"J\u00e4rvelin, K., & Kek\u00e4l\u00e4inen, J. (2002). Cumulated gain-based evaluation of ir techniques. ACM Transactions on Information Systems (TOIS), 20(4), 422\u2013446. https:\/\/doi.org\/10.1145\/582415.582418","journal-title":"ACM Transactions on Information Systems (TOIS)"},{"key":"896_CR16","doi-asserted-by":"publisher","unstructured":"Jones, J., & Simons, H. (2017). Persuasion in Society, 3rd edn. Routledge, New York,https:\/\/doi.org\/10.4324\/9781315739816","DOI":"10.4324\/9781315739816"},{"issue":"3","key":"896_CR17","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1016\/j.intmar.2012.02.002","volume":"26","author":"M Kaptein","year":"2012","unstructured":"Kaptein, M., & Eckles, D. (2012). Heterogeneity in the effects of online persuasion. Journal of Interactive Marketing, 26(3), 176\u2013188. https:\/\/doi.org\/10.1016\/j.intmar.2012.02.002","journal-title":"Journal of Interactive Marketing"},{"issue":"2","key":"896_CR18","doi-asserted-by":"publisher","first-page":"638","DOI":"10.1109\/TCSS.2021.3108810","volume":"9","author":"KN Pk","year":"2021","unstructured":"Pk, K. N., & Gavrilova, M. L. (2021). Latent personality traits assessment from social network activity using contextual language embedding. IEEE Transactions on Computational Social Systems, 9(2), 638\u201364. https:\/\/doi.org\/10.1109\/TCSS.2021.3108810","journal-title":"IEEE Transactions on Computational Social Systems"},{"key":"896_CR19","doi-asserted-by":"publisher","unstructured":"Li, L., Chen, L., & Dong, R. (2021). Caesar: context-aware explanation based on supervised attention for service recommendations. Journal of Intelligent Information Systems, 57(1), 17\u2013147. https:\/\/doi.org\/10.1007\/s10844-020-00631-8","DOI":"10.1007\/s10844-020-00631-8"},{"issue":"1","key":"896_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3511019","volume":"41","author":"T Ma","year":"2023","unstructured":"Ma, T., Huang, L., Lu, Q., et al. (2023). Kr-gcn: Knowledge-aware reasoning with graph convolution network for explainable recommendation. ACM Transactions on Information Systems, 41(1), 1\u20132. https:\/\/doi.org\/10.1145\/3511019","journal-title":"ACM Transactions on Information Systems"},{"issue":"2","key":"896_CR21","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1111\/j.1467-6494.1992.tb00970.x","volume":"60","author":"RR McCrae","year":"1992","unstructured":"McCrae, R. R., & John, O. P. (1992). An introduction to the five-factor model and its applications. Journal of Personality, 60(2), 175\u2013215. https:\/\/doi.org\/10.1111\/j.1467-6494.1992.tb00970.x","journal-title":"Journal of Personality"},{"issue":"1","key":"896_CR22","doi-asserted-by":"publisher","first-page":"476","DOI":"10.1038\/srep04761","volume":"4","author":"Y Neuman","year":"2014","unstructured":"Neuman, Y., & Cohen, Y. (2014). A vectorial semantics approach to personality assessment. Scientific Reports, 4(1), 476. https:\/\/doi.org\/10.1038\/srep04761","journal-title":"Scientific Reports"},{"key":"896_CR23","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2024.3359010","author":"Z Noorian","year":"2024","unstructured":"Noorian, Z., Ghenai, A., Moradisani, H., et al. (2024). User-centric modeling of online hate through the lens of psycholinguistic patterns and behaviors in social media. IEEE Transactions on Computational Social Systems. https:\/\/doi.org\/10.1109\/TCSS.2024.3359010","journal-title":"IEEE Transactions on Computational Social Systems"},{"key":"896_CR24","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. (2017). A systematic review and taxonomy of explanations in decision support and recommender systems. User Modeling and User-Adapted Interaction, 27, 393\u2013444. https:\/\/doi.org\/10.1007\/s11257-017-9195-0","journal-title":"User Modeling and User-Adapted Interaction"},{"issue":"2","key":"896_CR25","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1007\/s10844-022-00698-5","volume":"59","author":"DK Panda","year":"2022","unstructured":"Panda, D. K., & Ray, S. (2022). Approaches and algorithms to mitigate cold start problems in recommender systems: a systematic literature review. Journal of Intelligent Information Systems, 59(2), 341\u2013366. https:\/\/doi.org\/10.1007\/s10844-022-00698-5","journal-title":"Journal of Intelligent Information Systems"},{"key":"896_CR26","doi-asserted-by":"publisher","unstructured":"Ricci, F., Rokach, L., & Shapira, B. (2021). Recommender systems: Techniques, applications, and challenges. Recommender Systems Handbook pp 1\u201335.https:\/\/doi.org\/10.1007\/978-1-0716-2197-4_1","DOI":"10.1007\/978-1-0716-2197-4_1"},{"key":"896_CR27","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.copsyc.2019.06.025","volume":"31","author":"AE Schlosser","year":"2020","unstructured":"Schlosser, A. E. (2020). Self-disclosure versus self-presentation on social media. Current Opinion in Psychology, 31, 1\u20136. https:\/\/doi.org\/10.1016\/j.copsyc.2019.06.025","journal-title":"Current Opinion in Psychology"},{"key":"896_CR28","doi-asserted-by":"publisher","unstructured":"Shi, C., Zhang, Z., Ji, Y., et al. (2019). Semrec: a personalized semantic recommendation method based on weighted heterogeneous information networks. World Wide Web, 22, 18\u2013153. https:\/\/doi.org\/10.1007\/s11280-018-0553-6","DOI":"10.1007\/s11280-018-0553-6"},{"key":"896_CR29","unstructured":"Sofia, G., Marianna, S., George, L., et\u00a0al. (2016). Investigating the role of personality traits and influence strategies on the persuasive effect of personalized recommendations. In: 4th Workshop on Emotions and Personality in Personalized Systems (EMPIRE), https:\/\/ceur-ws.org\/Vol-1680\/paper2.pdf"},{"key":"896_CR30","doi-asserted-by":"publisher","unstructured":"Sun, Y., Han, J., Yan, X., et\u00a0al. (2011). Pathsim: Meta path-based top-k similarity search in heterogeneous information networks. Proceedings of the VLDB Endowment 4(11):992\u2013100https:\/\/doi.org\/10.14778\/3402707.3402736","DOI":"10.14778\/3402707.3402736"},{"key":"896_CR31","doi-asserted-by":"publisher","unstructured":"Tai, C. Y., Huang, L. Y., Huang, C. K., et\u00a0al. (2021). User-centric path reasoning towards explainable recommendation. In: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp 879\u201388https:\/\/doi.org\/10.1145\/3404835.3462847","DOI":"10.1145\/3404835.3462847"},{"issue":"2","key":"896_CR32","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1111\/j.1467-6494.1992.tb00973.x","volume":"60","author":"EC Tupes","year":"1992","unstructured":"Tupes, E. C., & Christal, R. E. (1992). Recurrent personality factors based on trait ratings. Journal of Personality, 60(2), 225\u2013251. https:\/\/doi.org\/10.1111\/j.1467-6494.1992.tb00973.x","journal-title":"Journal of Personality"},{"key":"896_CR33","doi-asserted-by":"publisher","unstructured":"Wang, H., Zhang, F,. Wang, J., et\u00a0al. (2018a). Ripplenet: Propagating user preferences on the knowledge graph for recommender systems. In: Proceedings of the 27th ACM International Conference on Information and Knowledge Management, pp 417\u201342https:\/\/doi.org\/10.1145\/3269206.3271739","DOI":"10.1145\/3269206.3271739"},{"key":"896_CR34","doi-asserted-by":"publisher","unstructured":"Wang, N., Wang, H., Jia, Y., et\u00a0al. (2018b). Explainable recommendation via multi-task learning in opinionated text data. In: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, pp 165\u2013174, https:\/\/doi.org\/10.1145\/3209978.3210010","DOI":"10.1145\/3209978.3210010"},{"key":"896_CR35","doi-asserted-by":"publisher","unstructured":"Wang, X., He, X., Cao, Y., et\u00a0al. (2019a). Kgat: Knowledge graph attention network for recommendation. In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp 950\u2013958, https:\/\/doi.org\/10.1145\/3292500.3330989","DOI":"10.1145\/3292500.3330989"},{"key":"896_CR36","doi-asserted-by":"publisher","unstructured":"Wang, X., Wang, D., Xu, C., et\u00a0al. (2019b). Explainable reasoning over knowledge graphs for recommendation. In: Proceedings of the AAAI Conference on Artificial Intelligence, pp 5329\u20135336, https:\/\/doi.org\/10.1609\/aaai.v33i01.33015329","DOI":"10.1609\/aaai.v33i01.33015329"},{"key":"896_CR37","doi-asserted-by":"publisher","first-page":"2098","DOI":"10.1145\/3485447.3512083","volume":"2022","author":"X Wang","year":"2022","unstructured":"Wang, X., Liu, K., Wang, D., et al. (2022). Multi-level recommendation reasoning over knowledge graphs with reinforcement learning. Proceedings of the ACM Web Conference, 2022, 2098\u20132108. https:\/\/doi.org\/10.1145\/3485447.3512083","journal-title":"Proceedings of the ACM Web Conference"},{"key":"896_CR38","doi-asserted-by":"publisher","unstructured":"Xian, Y., Fu, Z., Muthukrishnan, S., et\u00a0al. (2019). Reinforcement knowledge graph reasoning for explainable recommendation. In: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp 285\u2013294, https:\/\/doi.org\/10.1145\/3331184.3331203","DOI":"10.1145\/3331184.3331203"},{"key":"896_CR39","doi-asserted-by":"publisher","unstructured":"Xian, Y., Fu, Z., Zhao, H., et\u00a0al. (2020). Cafe: Coarse-to-fine neural symbolic reasoning for explainable recommendation. In: Proceedings of the 29th ACM International Conference on Information & Knowledge Management, pp 1645\u20131654, https:\/\/doi.org\/10.1145\/3340531.3412038","DOI":"10.1145\/3340531.3412038"},{"key":"896_CR40","doi-asserted-by":"publisher","unstructured":"Zhang, F., Yuan, N.J., Lian, D., et\u00a0al. (2016). Collaborative knowledge base embedding for recommender systems. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp 353\u2013362, https:\/\/doi.org\/10.1145\/2939672.2939673","DOI":"10.1145\/2939672.2939673"},{"key":"896_CR41","doi-asserted-by":"publisher","unstructured":"Zhang, Y., Lai, G., Zhang, M., et\u00a0al. (2014). Explicit factor models for explainable recommendation based on phrase-level sentiment analysis. In: Proceedings of the 37th International ACM SIGIR Conference on Research & Development in Information Retrieval, pp 83\u201392, https:\/\/doi.org\/10.1145\/2600428.2609579","DOI":"10.1145\/2600428.2609579"},{"issue":"1","key":"896_CR42","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1561\/1500000066","volume":"14","author":"Y Zhang","year":"2020","unstructured":"Zhang, Y., Chen, X., et al. (2020). Explainable recommendation: A survey and new perspectives. Foundations and Trends\u00ae in Information Retrieval, 14(1), 1\u2013101. https:\/\/doi.org\/10.1561\/1500000066","journal-title":"Foundations and Trends\u00ae in Information Retrieval"},{"issue":"2","key":"896_CR43","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3531267","volume":"41","author":"Y Zhao","year":"2022","unstructured":"Zhao, Y., Wang, X., Chen, J., et al. (2022). Time-aware path reasoning on knowledge graph for recommendation. ACM Transactions on Information Systems, 41(2), 1\u201326. https:\/\/doi.org\/10.1145\/3531267","journal-title":"ACM Transactions on Information Systems"}],"container-title":["Journal of Intelligent Information Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10844-024-00896-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10844-024-00896-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10844-024-00896-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,4]],"date-time":"2025-04-04T10:45:38Z","timestamp":1743763538000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10844-024-00896-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,8]]},"references-count":43,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2025,4]]}},"alternative-id":["896"],"URL":"https:\/\/doi.org\/10.1007\/s10844-024-00896-3","relation":{},"ISSN":["0925-9902","1573-7675"],"issn-type":[{"value":"0925-9902","type":"print"},{"value":"1573-7675","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,8]]},"assertion":[{"value":"23 July 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 September 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 September 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 October 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not Applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics Approval"}},{"value":"The authors declare no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}]}}