{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T02:11:23Z","timestamp":1771035083881,"version":"3.50.1"},"publisher-location":"Cham","reference-count":32,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030997359","type":"print"},{"value":"9783030997366","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-030-99736-6_33","type":"book-chapter","created":{"date-parts":[[2022,4,4]],"date-time":"2022-04-04T23:02:47Z","timestamp":1649113367000},"page":"487-501","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Effective Rating Prediction Using an Attention-Based User Review Sentiment Model"],"prefix":"10.1007","author":[{"given":"Xi","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Iadh","family":"Ounis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Craig","family":"Macdonald","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,4,5]]},"reference":[{"key":"33_CR1","doi-asserted-by":"crossref","unstructured":"Chen, C., Zhang, M., Liu, Y., Ma, S.: Neural attentional rating regression with review-level explanations. In: Proceedings of WWW (2018)","DOI":"10.1145\/3178876.3186070"},{"key":"33_CR2","doi-asserted-by":"crossref","unstructured":"Chen, L., Liu, Y., Zheng, Z., Yu, P.: Heterogeneous neural attentive factorization machine for rating prediction. In: Proceedings of CIKM (2018)","DOI":"10.1145\/3269206.3271759"},{"key":"33_CR3","doi-asserted-by":"crossref","unstructured":"Cheng, C., Xia, F., Zhang, T., King, I., Lyu, M.R.: Gradient boosting factorization machines. In: Proceedings of RecSys (2014)","DOI":"10.1145\/2645710.2645730"},{"key":"33_CR4","series-title":"Smart Innovation, Systems and Technologies","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1007\/978-981-13-9714-1_29","volume-title":"Advances in Intelligent Information Hiding and Multimedia Signal Processing","author":"K Davagdorj","year":"2020","unstructured":"Davagdorj, K., Park, K.H., Ryu, K.H.: A collaborative filtering recommendation system for rating prediction. In: Pan, J.-S., Li, J., Tsai, P.-W., Jain, L.C. (eds.) Advances in Intelligent Information Hiding and Multimedia Signal Processing. SIST, vol. 156, pp. 265\u2013271. Springer, Singapore (2020). https:\/\/doi.org\/10.1007\/978-981-13-9714-1_29"},{"key":"33_CR5","doi-asserted-by":"crossref","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8) (1997)","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"33_CR6","doi-asserted-by":"crossref","unstructured":"Hyun, D., Park, C., Yang, M.C., Song, I., Lee, J.T., Yu, H.: Review sentiment-guided scalable deep recommender system. In: Proceedings of SIGIR (2018)","DOI":"10.1145\/3209978.3210111"},{"key":"33_CR7","doi-asserted-by":"crossref","unstructured":"Jiang, Y., Hu, C., Xiao, T., Zhang, C., Zhu, J.: Improved differentiable architecture search for language modeling and named entity recognition. In: Proceedings of EMNLP (2019)","DOI":"10.18653\/v1\/D19-1367"},{"key":"33_CR8","doi-asserted-by":"crossref","unstructured":"Kim, D., Park, C., Oh, J., Lee, S., Yu, H.: Convolutional matrix factorization for document context-aware recommendation. In: Proceedings of RecSys (2016)","DOI":"10.1145\/2959100.2959165"},{"key":"33_CR9","doi-asserted-by":"crossref","unstructured":"Kim, Y.: Convolutional neural networks for sentence classification. In: Proceedings of EMNLP (2014)","DOI":"10.3115\/v1\/D14-1181"},{"key":"33_CR10","doi-asserted-by":"crossref","unstructured":"Koren, Y., Bell, R.M., Volinsky, C.: Matrix factorization techniques for recommender systems. IEEE Comput. 42(8) (2009)","DOI":"10.1109\/MC.2009.263"},{"issue":"9","key":"33_CR11","doi-asserted-by":"publisher","first-page":"1910","DOI":"10.1109\/TMM.2016.2575738","volume":"18","author":"X Lei","year":"2016","unstructured":"Lei, X., Qian, X., Zhao, G.: Rating prediction based on social sentiment from textual reviews. IEEE Trans. Multimedia 18(9), 1910\u20131921 (2016)","journal-title":"IEEE Trans. Multimedia"},{"key":"33_CR12","doi-asserted-by":"crossref","unstructured":"Ling, G., Lyu, M.R., King, I.: Ratings meet reviews, a combined approach to recommend. In: Proceedings of RecSys (2014)","DOI":"10.1145\/2645710.2645728"},{"key":"33_CR13","unstructured":"Liu, H., Simonyan, K., Yang, Y.: DARTS: differentiable architecture search. In: Proceedings of ICLR (2019)"},{"key":"33_CR14","doi-asserted-by":"crossref","unstructured":"Luong, T., Pham, H., Manning, C.D.: Effective approaches to attention-based neural machine translation. In: Proceedings of EMNLP (2015)","DOI":"10.18653\/v1\/D15-1166"},{"key":"33_CR15","doi-asserted-by":"crossref","unstructured":"Ma, X., Lei, X., Zhao, G., Qian, X.: Rating prediction by exploring user\u2019s preference and sentiment. Multimedia Tools Applicat. 77(6) (2018)","DOI":"10.1007\/s11042-017-4550-z"},{"key":"33_CR16","doi-asserted-by":"crossref","unstructured":"Manotumruksa, J., Macdonald, C., Ounis, I.: Regularising factorised models for venue recommendation using friends and their comments. In: Proceedings of CIKM (2016)","DOI":"10.1145\/2983323.2983889"},{"key":"33_CR17","doi-asserted-by":"crossref","unstructured":"McAuley, J., Leskovec, J.: Hidden factors and hidden topics: understanding rating dimensions with review text. In: Proceedings of RecSys (2013)","DOI":"10.1145\/2507157.2507163"},{"key":"33_CR18","unstructured":"Mikolov, T., Sutskever, I., Chen, K., Corrado, G.S., Dean, J.: Distributed representations of words and phrases and their compositionality. In: Proceedings of NeurIPS (2013)"},{"key":"33_CR19","doi-asserted-by":"crossref","unstructured":"Pennington, J., Socher, R., Manning, C.D.: GloVe: global vectors for word representation. In: Proceedings of EMNLP (2014)","DOI":"10.3115\/v1\/D14-1162"},{"key":"33_CR20","doi-asserted-by":"crossref","unstructured":"Rendle, S.: Factorization machines with libfm. ACM Trans. Intell. Syst. Technol. (TIST) 3(3) (2012)","DOI":"10.1145\/2168752.2168771"},{"key":"33_CR21","doi-asserted-by":"crossref","unstructured":"Rendle, S., Gantner, Z., Freudenthaler, C., Schmidt-Thieme, L.: Fast context-aware recommendations with factorization machines. In: Proceedings of SIGIR (2011)","DOI":"10.1145\/2009916.2010002"},{"key":"33_CR22","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-0-387-85820-3_1","volume-title":"Recommender Systems Handbook","author":"F Ricci","year":"2011","unstructured":"Ricci, F., Rokach, L., Shapira, B.: Introduction to recommender systems handbook. In: Ricci, F., Rokach, L., Shapira, B., Kantor, P.B. (eds.) Recommender Systems Handbook, pp. 1\u201335. Springer, Boston, MA (2011). https:\/\/doi.org\/10.1007\/978-0-387-85820-3_1"},{"key":"33_CR23","doi-asserted-by":"crossref","unstructured":"Sakai, T.: Laboratory experiments in information retrieval. Inf. Retrieval Series 40 (2018)","DOI":"10.1007\/978-981-13-1199-4"},{"key":"33_CR24","doi-asserted-by":"crossref","unstructured":"Seo, S., Huang, J., Yang, H., Liu, Y.: Interpretable convolutional neural networks with dual local and global attention for review rating prediction. In: Proceedings of RecSys (2017)","DOI":"10.1145\/3109859.3109890"},{"key":"33_CR25","unstructured":"Vaswani, A., et al.: Attention is all you need. In: Proceedings of NeurIPS (2017)"},{"key":"33_CR26","doi-asserted-by":"crossref","unstructured":"Wang, H., Fu, Y., Wang, Q., Yin, H., Du, C., Xiong, H.: A location-sentiment-aware recommender system for both home-town and out-of-town users. In: Proceedings of SIGKDD (2017)","DOI":"10.1145\/3097983.3098122"},{"key":"33_CR27","doi-asserted-by":"crossref","unstructured":"Wang, J., et al.: Human-like decision making: Document-level aspect sentiment classification via hierarchical reinforcement learning. In: Proceedings of EMNLP (2019)","DOI":"10.18653\/v1\/D19-1560"},{"key":"33_CR28","doi-asserted-by":"crossref","unstructured":"Wang, X., Ounis, I., Macdonald, C.: Comparison of sentiment analysis and user ratings in venue recommendation. In: Proceedings of ECIR (2019)","DOI":"10.1007\/978-3-030-15712-8_14"},{"key":"33_CR29","doi-asserted-by":"crossref","unstructured":"Wu, C., Wu, F., Qi, T., Ge, S., Huang, Y., Xie, X.: Reviews meet graphs: enhancing user and item representations for recommendation with hierarchical attentive graph neural network. In: Proceedings of EMNLP (2019)","DOI":"10.18653\/v1\/D19-1494"},{"key":"33_CR30","doi-asserted-by":"crossref","unstructured":"Zhang, W., Du, T., Wang, J.: Deep learning over multi-field categorical data. In: Proceedings of ECIR (2016)","DOI":"10.1007\/978-3-319-30671-1_4"},{"key":"33_CR31","doi-asserted-by":"crossref","unstructured":"Zhao, K., Cong, G., Yuan, Q., Zhu, K.Q.: Sar: a sentiment-aspect-region model for user preference analysis in geo-tagged reviews. In: Proceedings of ICDE (2015)","DOI":"10.1109\/ICDE.2015.7113324"},{"key":"33_CR32","doi-asserted-by":"crossref","unstructured":"Zheng, L., Noroozi, V., Yu, P.S.: Joint deep modeling of users and items using reviews for recommendation. In: Proceedings of WSDM (2017)","DOI":"10.1145\/3018661.3018665"}],"container-title":["Lecture Notes in Computer Science","Advances in Information Retrieval"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-99736-6_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T13:00:36Z","timestamp":1710248436000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-99736-6_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783030997359","9783030997366"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-99736-6_33","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"5 April 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECIR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Information Retrieval","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Stavanger","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Norway","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 April 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 April 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"44","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecir2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ecir2022.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-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":"395","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":"35","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":"29","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":"9% - 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","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":"4-6","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":"Additionally, there are other papers: 11 reproducibility, 12 doctoral, 13 CLEF Labs, 5 workshops and 4 tutorials.","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)"}}]}}