{"id":"https://openalex.org/W2912759951","doi":"https://doi.org/10.1145/3308558.3313407","title":"Automatic Generation of Pattern-controlled Product Description in E-commerce","display_name":"Automatic Generation of Pattern-controlled Product Description in E-commerce","publication_year":2019,"publication_date":"2019-05-13","ids":{"openalex":"https://openalex.org/W2912759951","doi":"https://doi.org/10.1145/3308558.3313407","mag":"2912759951"},"language":"en","primary_location":{"id":"doi:10.1145/3308558.3313407","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313407","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":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3308558.3313407","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100375823","display_name":"Tao Zhang","orcid":"https://orcid.org/0000-0002-6272-4069"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhang","raw_affiliation_strings":["Alibaba Group, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100406022","display_name":"Jin Zhang","orcid":"https://orcid.org/0000-0003-4871-6318"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Zhang","raw_affiliation_strings":["Alibaba Group, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028822516","display_name":"Chengfu Huo","orcid":"https://orcid.org/0000-0003-3611-6921"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengfu Huo","raw_affiliation_strings":["Alibaba Group, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069560367","display_name":"Weijun Ren","orcid":"https://orcid.org/0009-0003-3016-564X"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijun Ren","raw_affiliation_strings":["Alibaba Group, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I45928872"],"apc_list":null,"apc_paid":null,"fwci":2.1695,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.90420491,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2355","last_page":"2365"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9991000294685364,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9991000294685364,"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":0.996999979019165,"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":0.9965000152587891,"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/computer-science","display_name":"Computer science","score":0.8204042911529541},{"id":"https://openalex.org/keywords/pointer","display_name":"Pointer (user interface)","score":0.7542800903320312},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5256855487823486},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.503440797328949},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.49078401923179626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3095328211784363},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09624704718589783}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8204042911529541},{"id":"https://openalex.org/C150202949","wikidata":"https://www.wikidata.org/wiki/Q107602","display_name":"Pointer (user interface)","level":2,"score":0.7542800903320312},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5256855487823486},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.503440797328949},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.49078401923179626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3095328211784363},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09624704718589783},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3308558.3313407","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313407","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:10.1145/3308558.3313407","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313407","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":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W182831726","https://openalex.org/W1516184288","https://openalex.org/W1533861849","https://openalex.org/W1731081199","https://openalex.org/W1753482797","https://openalex.org/W2003170434","https://openalex.org/W2064675550","https://openalex.org/W2101105183","https://openalex.org/W2116716943","https://openalex.org/W2119874156","https://openalex.org/W2123301721","https://openalex.org/W2131953535","https://openalex.org/W2154652894","https://openalex.org/W2154764394","https://openalex.org/W2157278156","https://openalex.org/W2167247296","https://openalex.org/W2251656952","https://openalex.org/W2389937032","https://openalex.org/W2467173223","https://openalex.org/W2507756961","https://openalex.org/W2552839021","https://openalex.org/W2600463316","https://openalex.org/W2626778328","https://openalex.org/W2740747242","https://openalex.org/W2741375528","https://openalex.org/W2774772126","https://openalex.org/W2775022418","https://openalex.org/W2888103369","https://openalex.org/W2888539709","https://openalex.org/W2902468147","https://openalex.org/W2949888546","https://openalex.org/W2949952668","https://openalex.org/W2962886331","https://openalex.org/W2962905474","https://openalex.org/W2962944953","https://openalex.org/W2963091658","https://openalex.org/W2963450096","https://openalex.org/W2963595025","https://openalex.org/W2964165364","https://openalex.org/W2964308564","https://openalex.org/W2964325845","https://openalex.org/W2998115938","https://openalex.org/W3017041246","https://openalex.org/W4385245566","https://openalex.org/W6725207838","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2387387477","https://openalex.org/W2394051415","https://openalex.org/W4293226380","https://openalex.org/W3203142394","https://openalex.org/W4255928847","https://openalex.org/W4390516098","https://openalex.org/W4388218401","https://openalex.org/W2352114091","https://openalex.org/W2221419418","https://openalex.org/W3007164922"],"abstract_inverted_index":{"Nowadays,":[0],"online":[1,23,168,179],"shoppers":[2],"have":[3],"paid":[4],"more":[5,7],"and":[6,69,90,123],"attention":[8,81],"to":[9,61,75,97,113,125],"detailed":[10],"product":[11,32,63],"descriptions,":[12],"since":[13],"a":[14,18,27,56,70,88,91,107,136,177],"well-written":[15],"description":[16,117],"is":[17,95,111],"huge":[19],"factor":[20],"in":[21,176],"making":[22],"sales.":[24],"However,":[25],"for":[26,163],"website":[28],"with":[29,79,87,143,151],"billions":[30],"of":[31,39,47,129,139,149,159,173],"data":[33,155],"like":[34],"Alibaba,":[35],"the":[36,44,99,104,115,127,130,157,160,185],"writing":[37],"efficiency":[38],"human":[40,153],"copywriters":[41],"cannot":[42],"match":[43],"growth":[45],"rate":[46],"new":[48],"products.":[49],"To":[50],"address":[51],"this":[52],"issue,":[53],"we":[54,134],"propose":[55],"novel":[57],"pointer-generator":[58],"neural":[59],"network":[60],"generate":[62],"description.":[64,131],"In":[65,103],"particular,":[66],"coordinate":[67,84],"encoders":[68,85],"pattern-controlled":[71],"decoder":[72,110],"are":[73],"utilized":[74],"improve":[76],"generation":[77,164],"quality":[78,128],"an":[80,167],"mechanism.":[82],"The":[83],"equipped":[86],"Transformer":[89],"gated":[92],"convolutional":[93],"unit":[94],"introduced":[96],"learn":[98],"source":[100],"input":[101],"representations.":[102],"decoding":[105],"phase,":[106],"pattern":[108,118],"controlled":[109],"proposed":[112,161],"control":[114],"output":[116],"(such":[119],"as":[120,182],"category,":[121],"length,":[122],"style)":[124],"ensure":[126],"For":[132],"evaluation,":[133],"build":[135],"substantial":[137],"collection":[138],"real-world":[140],"products":[141],"along":[142],"human-written":[144],"descriptions.":[145],"An":[146],"extensive":[147],"set":[148],"experiments":[150],"both":[152],"annotated":[154],"demonstrate":[156],"advantage":[158],"method":[162],"qualities.":[165],"Finally,":[166],"deployment":[169],"shows":[170],"significant":[171],"benefits":[172],"our":[174],"model":[175],"real":[178],"shopping":[180],"scenario,":[181],"measured":[183],"by":[184],"click-through":[186],"rate.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}