{"id":"https://openalex.org/W2490872203","doi":"https://doi.org/10.1145/2957792.2957811","title":"Predicting the quality of user contributions via LSTMs","display_name":"Predicting the quality of user contributions via LSTMs","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2490872203","doi":"https://doi.org/10.1145/2957792.2957811","mag":"2490872203"},"language":"en","primary_location":{"id":"doi:10.1145/2957792.2957811","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2957792.2957811","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Symposium on Open Collaboration","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://escholarship.org/content/qt32k365xv/qt32k365xv.pdf?t=o90ehd","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103855547","display_name":"Rakshit Agrawal","orcid":null},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rakshit Agrawal","raw_affiliation_strings":["University of California, Santa Cruz, Santa Cruz, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Santa Cruz, Santa Cruz, CA, USA","institution_ids":["https://openalex.org/I185103710"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055982204","display_name":"Luca deAlfaro","orcid":null},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luca deAlfaro","raw_affiliation_strings":["University of California, Santa Cruz, Santa Cruz, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Santa Cruz, Santa Cruz, CA, USA","institution_ids":["https://openalex.org/I185103710"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3218,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.90006167,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12478","display_name":"Wikis in Education and Collaboration","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12478","display_name":"Wikis in Education and Collaboration","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9861000180244446,"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/T10028","display_name":"Topic Modeling","score":0.980400025844574,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.9150043725967407},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8556153178215027},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6864981055259705},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6541086435317993},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5535045862197876},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5322297215461731},{"id":"https://openalex.org/keywords/reputation","display_name":"Reputation","score":0.5201547741889954},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4876350462436676},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4561149775981903},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.44362160563468933},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34692084789276123}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9150043725967407},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8556153178215027},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6864981055259705},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6541086435317993},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5535045862197876},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5322297215461731},{"id":"https://openalex.org/C48798503","wikidata":"https://www.wikidata.org/wiki/Q877546","display_name":"Reputation","level":2,"score":0.5201547741889954},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4876350462436676},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4561149775981903},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.44362160563468933},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34692084789276123},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2957792.2957811","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2957792.2957811","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Symposium on Open Collaboration","raw_type":"proceedings-article"},{"id":"pmh:oai:escholarship.org:ark:/13030/qt32k365xv","is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/32k365xv","pdf_url":"https://escholarship.org/content/qt32k365xv/qt32k365xv.pdf?t=o90ehd","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},{"id":"pmh:qt32k365xv","is_oa":false,"landing_page_url":"http://www.escholarship.org/uc/item/32k365xv","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Agrawal, R; &amp; de Alfaro, L. (2016). Predicting the quality of user contributions via LSTMs. UC Santa Cruz: Retrieved from: http://www.escholarship.org/uc/item/32k365xv","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:escholarship.org:ark:/13030/qt32k365xv","is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/32k365xv","pdf_url":"https://escholarship.org/content/qt32k365xv/qt32k365xv.pdf?t=o90ehd","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2505263969","display_name":null,"funder_award_id":"1432690","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2490872203.pdf","grobid_xml":"https://content.openalex.org/works/W2490872203.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W167418381","https://openalex.org/W1602942503","https://openalex.org/W1996070121","https://openalex.org/W2005708641","https://openalex.org/W2055485077","https://openalex.org/W2064675550","https://openalex.org/W2077513286","https://openalex.org/W2078054796","https://openalex.org/W2095030488","https://openalex.org/W2102271161","https://openalex.org/W2118847082","https://openalex.org/W2120845601","https://openalex.org/W2122585011","https://openalex.org/W2144499799","https://openalex.org/W2145284623","https://openalex.org/W2147568880","https://openalex.org/W2148517649","https://openalex.org/W2150355110","https://openalex.org/W2962872417","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W1517524280","https://openalex.org/W4389760904","https://openalex.org/W4306886878","https://openalex.org/W4323520239"],"abstract_inverted_index":{"In":[0,60],"many":[1],"collaborative":[2],"systems":[3],"it":[4,37],"is":[5,38,66,115],"useful":[6,39],"to":[7,22,40,100,159],"automatically":[8],"estimate":[9],"the":[10,15,29,45,48,52,63,97,109,118],"quality":[11,30],"of":[12,31,47,55,72,77,96,134,146,164],"new":[13],"contributions;":[14],"estimates":[16],"can":[17,149],"be":[18,150],"used":[19,116],"for":[20,25,108],"instance":[21],"flag":[23],"contributions":[24,56],"review.":[26],"To":[27],"predict":[28],"a":[32,35,70,101,106,131],"contribution":[33],"by":[34,57,152],"user,":[36],"take":[41],"into":[42,69],"account":[43],"both":[44],"characteristics":[46],"revision":[49,99],"itself,":[50],"and":[51,85],"past":[53],"history":[54,65],"that":[58,142,156],"user.":[59],"several":[61],"approaches,":[62],"user's":[64],"first":[67],"summarized":[68],"number":[71,76,133],"features,":[73],"such":[74,123],"as":[75,124],"contributions,":[78],"user":[79,110],"reputation,":[80],"time":[81],"from":[82],"previous":[83],"revision,":[84],"so":[86],"forth.":[87],"These":[88],"features":[89,95,148],"are":[90,157],"then":[91],"passed":[92],"along":[93],"with":[94,161],"current":[98],"machine-learning":[102,154],"classifier,":[103],"which":[104],"outputs":[105],"prediction":[107],"contribution.":[111],"The":[112],"summarization":[113,147],"step":[114],"because":[117],"usual":[119],"machine":[120],"learning":[121],"models,":[122],"neural":[125],"nets,":[126],"SVMs,":[127],"etc.":[128],"rely":[129],"on":[130],"fixed":[132],"input":[135],"features.":[136],"We":[137],"show":[138],"in":[139],"this":[140,143],"paper":[141],"manual":[144],"selection":[145],"avoided":[151],"adopting":[153],"approaches":[155],"able":[158],"cope":[160],"temporal":[162],"sequences":[163],"input.":[165]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
