{"id":"https://openalex.org/W2911713274","doi":"https://doi.org/10.1145/3308558.3313492","title":"Semi-supervised Multi-view Individual and Sharable Feature Learning for Webpage Classification","display_name":"Semi-supervised Multi-view Individual and Sharable Feature Learning for Webpage Classification","publication_year":2019,"publication_date":"2019-05-13","ids":{"openalex":"https://openalex.org/W2911713274","doi":"https://doi.org/10.1145/3308558.3313492","mag":"2911713274"},"language":"en","primary_location":{"id":"doi:10.1145/3308558.3313492","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313492","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":"The World Wide Web Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3308558.3313492","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039792198","display_name":"Fei Wu","orcid":"https://orcid.org/0000-0001-5498-4947"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Wu","raw_affiliation_strings":["College of Automation, Nanjing University of Posts and Telecommunications China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation, Nanjing University of Posts and Telecommunications China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029691902","display_name":"Xiao\u2010Yuan Jing","orcid":"https://orcid.org/0000-0002-0392-8475"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Yuan Jing","raw_affiliation_strings":["School of Computer, Wuhan University, College of Automation, Nanjing University of Posts and Telecommunications China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Wuhan University, College of Automation, Nanjing University of Posts and Telecommunications China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045140292","display_name":"Jun Zhou","orcid":"https://orcid.org/0000-0001-6033-6102"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhou","raw_affiliation_strings":["College of Automation, Nanjing University of Posts and Telecommunications China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation, Nanjing University of Posts and Telecommunications China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053206926","display_name":"Yimu Ji","orcid":"https://orcid.org/0000-0001-7019-3942"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yimu Ji","raw_affiliation_strings":["College of Computer, Nanjing University of Posts and Telecommunications China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, Nanjing University of Posts and Telecommunications China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023655697","display_name":"Chao Lan","orcid":"https://orcid.org/0000-0003-2526-7206"},"institutions":[{"id":"https://openalex.org/I12834331","display_name":"University of Wyoming","ror":"https://ror.org/01485tq96","country_code":"US","type":"education","lineage":["https://openalex.org/I12834331"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chao Lan","raw_affiliation_strings":["Department of Computer Science, University of Wyoming United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Wyoming United States","institution_ids":["https://openalex.org/I12834331"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066148256","display_name":"Qinghua Huang","orcid":"https://orcid.org/0000-0003-1080-6940"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghua Huang","raw_affiliation_strings":["School of Science, Nanjing University of Posts and Telecommunications China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Nanjing University of Posts and Telecommunications China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109232005","display_name":"Ruchuan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruchuan Wang","raw_affiliation_strings":["College of Computer, Nanjing University of Posts and Telecommunications China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, Nanjing University of Posts and Telecommunications China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1869,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.91181018,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3349","last_page":"3355"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9979000091552734,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.994700014591217,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.74844890832901},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6276211738586426},{"id":"https://openalex.org/keywords/web-page","display_name":"Web page","score":0.48355385661125183},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4339008927345276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4232487380504608},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3342769742012024}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.74844890832901},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6276211738586426},{"id":"https://openalex.org/C21959979","wikidata":"https://www.wikidata.org/wiki/Q36774","display_name":"Web page","level":2,"score":0.48355385661125183},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4339008927345276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4232487380504608},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3342769742012024},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3308558.3313492","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313492","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":"The World Wide Web Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3308558.3313492","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313492","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":"The World Wide Web Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W7538220","https://openalex.org/W1532327008","https://openalex.org/W1971511148","https://openalex.org/W1977566067","https://openalex.org/W1982493192","https://openalex.org/W1990334093","https://openalex.org/W2040566538","https://openalex.org/W2059586463","https://openalex.org/W2073389244","https://openalex.org/W2074435087","https://openalex.org/W2085789144","https://openalex.org/W2089494389","https://openalex.org/W2107407880","https://openalex.org/W2124436456","https://openalex.org/W2138451337","https://openalex.org/W2148029428","https://openalex.org/W2204517102","https://openalex.org/W2246771995","https://openalex.org/W2251808314","https://openalex.org/W2345837149","https://openalex.org/W2470106866","https://openalex.org/W2546313902","https://openalex.org/W2587382559","https://openalex.org/W2588822028","https://openalex.org/W2589266112","https://openalex.org/W2590019597","https://openalex.org/W2596136030","https://openalex.org/W2604405260","https://openalex.org/W2604572195","https://openalex.org/W2613193982","https://openalex.org/W2725249286","https://openalex.org/W2726132532","https://openalex.org/W2751733204","https://openalex.org/W2753064086","https://openalex.org/W2783367877","https://openalex.org/W2787885212","https://openalex.org/W2793681838","https://openalex.org/W2807776204"],"related_works":["https://openalex.org/W1488511360","https://openalex.org/W1781894645","https://openalex.org/W2894902932","https://openalex.org/W569715723","https://openalex.org/W188332989","https://openalex.org/W2982387199","https://openalex.org/W2106946048","https://openalex.org/W2120930843","https://openalex.org/W42013907","https://openalex.org/W2268257560"],"abstract_inverted_index":{"Semi-supervised":[0],"multi-view":[1,38,74],"feature":[2,42],"learning":[3,43,101],"(SMFL)":[4],"is":[5],"a":[6,36,72,106,124],"feasible":[7],"solution":[8],"for":[9,61,137],"webpage":[10,143,154],"classification.":[11,138],"However,":[12],"how":[13],"to":[14,56,111,117],"fully":[15,79],"extract":[16],"the":[17,58,65,81,113],"complementarity":[18],"and":[19,40,52,64,87,96,130,153],"correlation":[20],"information":[21,83,89],"effectively":[22,135],"under":[23],"semi-supervised":[24,37,73],"setting":[25],"has":[26],"not":[27],"been":[28],"well":[29],"studied.":[30],"In":[31],"this":[32],"paper,":[33],"we":[34,104,122],"propose":[35],"individual":[39],"sharable":[41,54],"(SMISFL)":[44],"approach,":[45],"which":[46,78],"jointly":[47],"learns":[48],"multiple":[49],"view-individual":[50,109],"transformations":[51],"one":[53],"transformation":[55,110],"explore":[57],"view-specific":[59,115,129],"property":[60,67],"each":[62],"view":[63],"common":[66],"across":[68],"views.":[69],"We":[70],"design":[71],"similarity":[75,88],"preserving":[76],"term,":[77],"utilizes":[80],"label":[82],"of":[84,90,102],"labeled":[85],"samples":[86,92],"unlabeled":[91],"from":[93],"both":[94],"intra-view":[95],"inter-view":[97],"aspects.":[98],"To":[99],"promote":[100],"diversity,":[103],"impose":[105],"constraint":[107],"on":[108,140],"make":[112],"learned":[114],"features":[116,132],"be":[118,134],"statistically":[119],"uncorrelated.":[120],"Furthermore,":[121],"train":[123],"linear":[125],"classifier,":[126],"such":[127],"that":[128,146],"shared":[131],"can":[133,148],"combined":[136],"Experiments":[139],"widely":[141],"used":[142],"datasets":[144],"demonstrate":[145],"SMISFL":[147],"significantly":[149],"outperform":[150],"state-of-the-art":[151],"SMFL":[152],"classification":[155],"methods.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}