{"id":"https://openalex.org/W3153562715","doi":"https://doi.org/10.1145/3442381.3449920","title":"IFSpard: An Information Fusion-based Framework for Spam Review Detection","display_name":"IFSpard: An Information Fusion-based Framework for Spam Review Detection","publication_year":2021,"publication_date":"2021-04-19","ids":{"openalex":"https://openalex.org/W3153562715","doi":"https://doi.org/10.1145/3442381.3449920","mag":"3153562715"},"language":"en","primary_location":{"id":"doi:10.1145/3442381.3449920","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449920","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Web Conference 2021","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3442381.3449920","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101567070","display_name":"Yao Zhu","orcid":"https://orcid.org/0009-0000-6731-4475"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yao Zhu","raw_affiliation_strings":["Peking University, China"],"affiliations":[{"raw_affiliation_string":"Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100679042","display_name":"Hongzhi Liu","orcid":"https://orcid.org/0000-0001-6216-0796"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongzhi Liu","raw_affiliation_strings":["Peking University, China"],"affiliations":[{"raw_affiliation_string":"Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006057467","display_name":"Yingpeng Du","orcid":"https://orcid.org/0000-0001-9881-7171"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingpeng Du","raw_affiliation_strings":["Peking University, China"],"affiliations":[{"raw_affiliation_string":"Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041563693","display_name":"Zhonghai Wu","orcid":"https://orcid.org/0000-0003-1268-836X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhonghai Wu","raw_affiliation_strings":["Peking University, China"],"affiliations":[{"raw_affiliation_string":"Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101567070"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":3.305,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.92832774,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"507","last_page":"517"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.9380884170532227},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7685304880142212},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7554742097854614},{"id":"https://openalex.org/keywords/complementarity","display_name":"Complementarity (molecular biology)","score":0.7143552899360657},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5342162251472473},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5065392255783081},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49647432565689087},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4504663348197937},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38580912351608276},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3356851041316986}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9380884170532227},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7685304880142212},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7554742097854614},{"id":"https://openalex.org/C202269582","wikidata":"https://www.wikidata.org/wiki/Q2644277","display_name":"Complementarity (molecular biology)","level":2,"score":0.7143552899360657},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5342162251472473},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5065392255783081},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49647432565689087},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4504663348197937},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38580912351608276},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3356851041316986},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3442381.3449920","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449920","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Web Conference 2021","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3442381.3449920","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449920","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Web Conference 2021","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W205829674","https://openalex.org/W1990897852","https://openalex.org/W2016266039","https://openalex.org/W2040953641","https://openalex.org/W2047756776","https://openalex.org/W2064058256","https://openalex.org/W2089340591","https://openalex.org/W2103063352","https://openalex.org/W2113242816","https://openalex.org/W2136710010","https://openalex.org/W2137974413","https://openalex.org/W2168069066","https://openalex.org/W2251645975","https://openalex.org/W2295739661","https://openalex.org/W2406149405","https://openalex.org/W2509235963","https://openalex.org/W2561920916","https://openalex.org/W2562273329","https://openalex.org/W2618063639","https://openalex.org/W2889386526","https://openalex.org/W2945996535","https://openalex.org/W2963668037","https://openalex.org/W2970127247","https://openalex.org/W3098259638","https://openalex.org/W4365799947"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W1986582023","https://openalex.org/W2966829450"],"abstract_inverted_index":{"Online":[0],"reviews,":[1,71],"which":[2,48],"contain":[3],"the":[4,14,67,76,95],"quality":[5],"information":[6],"and":[7,53,73],"user":[8],"experience":[9],"about":[10],"products,":[11],"always":[12],"affect":[13],"consumption":[15],"decisions":[16],"of":[17,23,70,84,97],"customers.":[18],"Unfortunately,":[19],"quite":[20],"a":[21],"number":[22],"spammers":[24],"attempt":[25,64],"to":[26,65],"mislead":[27],"consumers":[28],"by":[29],"writing":[30],"fake":[31],"reviews":[32,41],"for":[33,38],"some":[34,56,62],"intents.":[35],"Existing":[36],"methods":[37,86],"detecting":[39],"spam":[40],"mainly":[42],"focus":[43],"on":[44,51,89],"constructing":[45],"discriminative":[46],"features,":[47],"heavily":[49],"depend":[50],"experts":[52],"may":[54],"miss":[55],"complex":[57],"but":[58],"effective":[59],"features.":[60],"Recently,":[61],"models":[63],"learn":[66],"latent":[68],"representations":[69],"users,":[72],"items.":[74],"However,":[75],"learned":[77],"embeddings":[78],"usually":[79],"lack":[80],"interpretability.":[81],"Moreover,":[82],"most":[83],"existing":[85],"are":[87],"based":[88],"single":[90],"classification":[91,99],"model":[92],"while":[93],"ignoring":[94],"complementarity":[96],"different":[98],"models.":[100]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}