{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T16:47:44Z","timestamp":1771260464281,"version":"3.50.1"},"publisher-location":"Cham","reference-count":36,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783031001284","type":"print"},{"value":"9783031001291","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\/978-3-031-00129-1_9","type":"book-chapter","created":{"date-parts":[[2022,4,22]],"date-time":"2022-04-22T14:23:55Z","timestamp":1650637435000},"page":"133-148","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Fake Restaurant Review Detection Using Deep Neural Networks with Hybrid Feature Fusion Method"],"prefix":"10.1007","author":[{"given":"Yifei","family":"Jian","sequence":"first","affiliation":[]},{"given":"Xingshu","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Haizhou","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,4,8]]},"reference":[{"key":"9_CR1","doi-asserted-by":"crossref","unstructured":"Archchitha, K., Charles, E.: Opinion spam detection in online reviews using neural networks. In: Proceedings of the 19th International Conference on Advances in ICT for Emerging Regions, Colombo, Sri Lanka, pp. 1\u20136 (2019)","DOI":"10.1109\/ICTer48817.2019.9023695"},{"issue":"2","key":"9_CR2","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1109\/TPAMI.2018.2798607","volume":"41","author":"T Baltrusaitis","year":"2019","unstructured":"Baltrusaitis, T., Ahuja, C., Morency, L.P.: Multimodal machine learning: a survey and taxonomy. IEEE Trans. Pattern Anal. Mach. Intell. 41(2), 423\u2013443 (2019)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"4","key":"9_CR3","doi-asserted-by":"publisher","first-page":"1234","DOI":"10.1016\/j.ipm.2019.03.002","volume":"56","author":"R Barbado","year":"2019","unstructured":"Barbado, R., Araque, O., Iglesias, C.A.: A framework for fake review detection in online consumer electronics retailers. Inf. Process. Manag. 56(4), 1234\u20131244 (2019)","journal-title":"Inf. Process. Manag."},{"key":"9_CR4","doi-asserted-by":"crossref","unstructured":"Byun, H., Jeong, S., Kwon Kim, C.: SC-Com: spotting collusive community in opinion spam detection. Inf. Process. Manag. 58(4), 102593 (2021)","DOI":"10.1016\/j.ipm.2021.102593"},{"key":"9_CR5","doi-asserted-by":"publisher","first-page":"656","DOI":"10.1016\/j.future.2018.04.059","volume":"86","author":"W Chang","year":"2018","unstructured":"Chang, W., Xu, Z., Zhou, S., Cao, W.: Research on detection methods based on Doc2vec abnormal comments. Futur. Gener. Comput. Syst. 86, 656\u2013662 (2018)","journal-title":"Futur. Gener. Comput. Syst."},{"key":"9_CR6","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 17th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Minneapolis, Minnesota, USA, pp. 4171\u20134186 (2019)"},{"key":"9_CR7","doi-asserted-by":"crossref","unstructured":"Fahfouh, A., Riffi, J., Mahraz, M.A., Yahyaouy, A., Tairi, H.: PV-DAE: a hybrid model for deceptive opinion spam based on neural network architectures. Expert Syst. Appl. 157, 113517 (2020)","DOI":"10.1016\/j.eswa.2020.113517"},{"key":"9_CR8","doi-asserted-by":"crossref","unstructured":"Fontanarava, J., Pasi, G., Viviani, M.: Feature analysis for fake review detection through supervised classification. In: Proceedings of the 4th International Conference on Data Science and Advanced Analytics, Tokyo, Japan, pp. 658\u2013666 (2017)","DOI":"10.1109\/DSAA.2017.51"},{"key":"9_CR9","doi-asserted-by":"publisher","first-page":"784","DOI":"10.1109\/TMM.2020.2990085","volume":"23","author":"Y Gao","year":"2021","unstructured":"Gao, Y., Gong, M., Xie, Y., Qin, A.K.: An attention-based unsupervised adversarial model for movie review spam detection. IEEE Trans. Multimed. 23, 784\u2013796 (2021)","journal-title":"IEEE Trans. Multimed."},{"key":"9_CR10","doi-asserted-by":"crossref","unstructured":"Gutierrez-Espinoza, L., Abri, F., Namin, A.S., Jones, K.S., Sears, D.R.W.: Ensemble learning for detecting fake reviews. In: Proceedings of the IEEE 44th Annual Computers, Software, and Applications Conference, Madrid, Spain, pp. 1320\u20131325 (2020)","DOI":"10.1109\/COMPSAC48688.2020.00-73"},{"issue":"23","key":"9_CR11","doi-asserted-by":"publisher","first-page":"17259","DOI":"10.1007\/s00521-020-04757-2","volume":"32","author":"P Hajek","year":"2020","unstructured":"Hajek, P., Barushka, A., Munk, M.: Fake consumer review detection using deep neural networks integrating word embeddings and emotion mining. Neural Comput. Appl. 32(23), 17259\u201317274 (2020). https:\/\/doi.org\/10.1007\/s00521-020-04757-2","journal-title":"Neural Comput. Appl."},{"key":"9_CR12","doi-asserted-by":"crossref","unstructured":"Jindal, N., Liu, B.: Analyzing and detecting review spam. In: Proceedings of the 7th IEEE International Conference on Data Mining, Omaha, Nebraska, USA, pp. 547\u2013552 (2007)","DOI":"10.1109\/ICDM.2007.68"},{"key":"9_CR13","unstructured":"Li, F., Huang, M., Yang, Y., Zhu, X.: Learning to identify review spam. In: Proceedings of the 22nd International Joint Conference on Artificial Intelligence, Barcelona, Catalonia, Spain, pp. 2488\u20132493 (2011)"},{"key":"9_CR14","doi-asserted-by":"crossref","unstructured":"Li, H., Chen, Z., Mukherjee, A., Liu, B., Shao, J.: Analyzing and detecting opinion spam on a large-scale dataset via temporal and spatial patterns. In: Proceedings of the 9th AAAI International Conference on Web and Social Media, Oxford, England, pp. 634\u2013637 (2015)","DOI":"10.1609\/icwsm.v9i1.14652"},{"key":"9_CR15","doi-asserted-by":"crossref","unstructured":"Li, J., Zhang, P., Yang, L.: An unsupervised approach to detect review spam using duplicates of images, videos and Chinese texts. Comput. Speech Lang. 68, 101186 (2021)","DOI":"10.1016\/j.csl.2020.101186"},{"key":"9_CR16","doi-asserted-by":"crossref","unstructured":"Li, J., Ott, M., Cardie, C., Hovy, E.: Towards a general rule for identifying deceptive opinion spam. In: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, Baltimore, Maryland, USA, pp. 1566\u20131576 (2014)","DOI":"10.3115\/v1\/P14-1147"},{"key":"9_CR17","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.neucom.2016.10.080","volume":"254","author":"L Li","year":"2017","unstructured":"Li, L., Qin, B., Ren, W., Liu, T.: Document representation and feature combination for deceptive spam review detection. Neurocomputing 254, 33\u201341 (2017)","journal-title":"Neurocomputing"},{"key":"9_CR18","doi-asserted-by":"crossref","unstructured":"Ligthart, A., Catal, C., Tekinerdogan, B.: Analyzing the effectiveness of semi-supervised learning approaches for opinion spam classification. Appl. Soft Comput. 101, 107023 (2021)","DOI":"10.1016\/j.asoc.2020.107023"},{"key":"9_CR19","doi-asserted-by":"publisher","first-page":"276","DOI":"10.1016\/j.neucom.2019.08.013","volume":"366","author":"Y Liu","year":"2019","unstructured":"Liu, Y., Pang, B., Wang, X.: Opinion spam detection by incorporating multimodal embedded representation into a probabilistic review graph. Neurocomputing 366, 276\u2013283 (2019)","journal-title":"Neurocomputing"},{"issue":"6","key":"9_CR20","doi-asserted-by":"publisher","first-page":"1444","DOI":"10.1109\/TIFS.2017.2668992","volume":"12","author":"Y Liu","year":"2017","unstructured":"Liu, Y., Zhou, W., Chen, H.: Efficiently promoting product online outcome: an iterative rating attack utilizing product and market property. IEEE Trans. Inf. Forensics Secur. 12(6), 1444\u20131457 (2017)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"9_CR21","doi-asserted-by":"crossref","unstructured":"Noekhah, S., Binti Salim, N., Zakaria, N.H.: Opinion spam detection: using multi-iterative graph-based model. Inf. Process. Manag. 57(1), 102140 (2020)","DOI":"10.1016\/j.ipm.2019.102140"},{"key":"9_CR22","unstructured":"Ott, M., Choi, Y., Cardie, C., Hancock, J.T.: Finding deceptive opinion spam by any stretch of the imagination. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Portland, Oregon, USA, pp. 309\u2013319 (2011)"},{"key":"9_CR23","doi-asserted-by":"crossref","unstructured":"Radovanovic, D., Krstajic, B.: Review spam detection using machine learning. In: Proceedings of the 23rd International Scientific-Professional Conference on Information Technology, Piscataway, New Jersey, USA, pp. 1\u20134 (2018)","DOI":"10.1109\/SPIT.2018.8350457"},{"key":"9_CR24","doi-asserted-by":"crossref","unstructured":"Rayana, S., Akoglu, L.: Collective opinion spam detection: bridging review networks and metadata. In: Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, New South Wales, Australia, pp. 985\u2013994 (2015)","DOI":"10.1145\/2783258.2783370"},{"key":"9_CR25","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1016\/j.ins.2017.01.015","volume":"385\u2013386","author":"Y Ren","year":"2017","unstructured":"Ren, Y., Ji, D.: Neural networks for deceptive opinion spam detection: an empirical study. Inf. Sci. 385\u2013386, 213\u2013224 (2017)","journal-title":"Inf. Sci."},{"key":"9_CR26","doi-asserted-by":"crossref","unstructured":"Ruan, N., Deng, R., Su, C.: GADM: manual fake review detection for O2O commercial platforms. Comput. Secur. 88, 101657 (2020)","DOI":"10.1016\/j.cose.2019.101657"},{"issue":"7","key":"9_CR27","doi-asserted-by":"publisher","first-page":"1585","DOI":"10.1109\/TIFS.2017.2675361","volume":"12","author":"S Shehnepoor","year":"2017","unstructured":"Shehnepoor, S., Salehi, M., Farahbakhsh, R., Crespi, N.: NetSpam: a network-based spam detection framework for reviews in online social media. IEEE Trans. Inf. Forensics Secur. 12(7), 1585\u20131595 (2017)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"9_CR28","doi-asserted-by":"crossref","unstructured":"Stanton, G., Irissappane, A.A.: GANs for semi-supervised opinion spam detection. In: Proceedings of the 28th International Joint Conference on Artificial Intelligence, Macao, China, pp. 5204\u20135210 (2019)","DOI":"10.24963\/ijcai.2019\/723"},{"key":"9_CR29","unstructured":"Sun, Y., Loparo, K.: Contextualized opinion spam detection. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, Florence, Italy, pp. 344\u2013350 (2019)"},{"key":"9_CR30","doi-asserted-by":"crossref","unstructured":"Sun, Y., Loparo, K.: Opinion spam detection based on heterogeneous information network. In: Proceedings of the IEEE 31st International Conference on Tools with Artificial Intelligence, Portland, Oregon, USA, pp. 1156\u20131163 (2019)","DOI":"10.1109\/ICTAI.2019.00277"},{"issue":"10","key":"9_CR31","doi-asserted-by":"publisher","first-page":"2686","DOI":"10.1109\/TMM.2019.2904878","volume":"21","author":"JH Tan","year":"2019","unstructured":"Tan, J.H., Chan, C.S., Chuah, J.H.: Comic: toward a compact image captioning model with attention. IEEE Trans. Multimed. 21(10), 2686\u20132696 (2019)","journal-title":"IEEE Trans. Multimed."},{"key":"9_CR32","doi-asserted-by":"crossref","unstructured":"Wang, X., Liu, K., Zhao, J.: Handling cold-start problem in review spam detection by jointly embedding texts and behaviors. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, Vancouver, Canada, pp. 366\u2013376 (2017)","DOI":"10.18653\/v1\/P17-1034"},{"key":"9_CR33","doi-asserted-by":"crossref","unstructured":"Wu, Y., Ngai, E.W., Wu, P., Wu, C.: Fake online reviews: literature review, synthesis, and directions for future research. Decis. Support Syst. 132, 113280 (2020)","DOI":"10.1016\/j.dss.2020.113280"},{"key":"9_CR34","doi-asserted-by":"crossref","unstructured":"Xie, S., Wang, G., Lin, S., Yu, P.S.: Review spam detection via temporal pattern discovery. In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Beijing, China, pp. 823\u2013831 (2012)","DOI":"10.1145\/2339530.2339662"},{"issue":"12","key":"9_CR35","doi-asserted-by":"publisher","first-page":"3106","DOI":"10.1109\/TMM.2019.2919431","volume":"21","author":"W Yang","year":"2019","unstructured":"Yang, W., Zhang, X., Tian, Y., Wang, W., Xue, J.H., Liao, Q.: Deep learning for single image super-resolution: a brief review. IEEE Trans. Multimed. 21(12), 3106\u20133121 (2019)","journal-title":"IEEE Trans. Multimed."},{"key":"9_CR36","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1016\/j.future.2019.07.044","volume":"102","author":"L You","year":"2020","unstructured":"You, L., Peng, Q., Xiong, Z., He, D., Qiu, M., Zhang, X.: Integrating aspect analysis and local outlier factor for intelligent review spam detection. Futur. Gener. Comput. Syst. 102, 163\u2013172 (2020)","journal-title":"Futur. Gener. Comput. Syst."}],"container-title":["Lecture Notes in Computer Science","Database Systems for Advanced Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-00129-1_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,3]],"date-time":"2023-02-03T02:49:30Z","timestamp":1675392570000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-00129-1_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031001284","9783031001291"],"references-count":36,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-00129-1_9","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":"8 April 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DASFAA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database Systems for Advanced Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 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":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dasfaa2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.dasfaa2022.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":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"543","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":"72","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":"76","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":"13% - 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":"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":"Conference was originally planned to take place in Hyberabad, India. 24 other papers are included in the volume.","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)"}}]}}