{"id":"https://openalex.org/W3201053143","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533630","title":"DSMN: A Personalized Information Retrieval Algorithm Based on Improved DSSM","display_name":"DSMN: A Personalized Information Retrieval Algorithm Based on Improved DSSM","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3201053143","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533630","mag":"3201053143"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533630","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533630","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101650869","display_name":"Weifeng Sun","orcid":"https://orcid.org/0000-0001-6013-1369"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weifeng Sun","raw_affiliation_strings":["School of Software Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Software Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100448142","display_name":"Lijun Zhang","orcid":"https://orcid.org/0000-0001-5697-4611"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijun Zhang","raw_affiliation_strings":["School of Software Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Software Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027265922","display_name":"Kangkang Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kangkang Chang","raw_affiliation_strings":["School of Software Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Software Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029768054","display_name":"Shumiao Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shumiao Yu","raw_affiliation_strings":["School of Software Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Software Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101650869"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":0.4079,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69008211,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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":0.996399998664856,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.858949601650238},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7509323358535767},{"id":"https://openalex.org/keywords/explicit-semantic-analysis","display_name":"Explicit semantic analysis","score":0.5538531541824341},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5286553502082825},{"id":"https://openalex.org/keywords/semantic-matching","display_name":"Semantic matching","score":0.5233199596405029},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.4809645712375641},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.4657158851623535},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4628787040710449},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.4611663222312927},{"id":"https://openalex.org/keywords/concept-search","display_name":"Concept search","score":0.4426402747631073},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42263007164001465},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4124370217323303},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3851056694984436},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.2723999619483948},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.1668427586555481},{"id":"https://openalex.org/keywords/semantic-technology","display_name":"Semantic technology","score":0.16168364882469177},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.14311492443084717},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08528923988342285}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.858949601650238},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7509323358535767},{"id":"https://openalex.org/C173862523","wikidata":"https://www.wikidata.org/wiki/Q5421270","display_name":"Explicit semantic analysis","level":5,"score":0.5538531541824341},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5286553502082825},{"id":"https://openalex.org/C2778493491","wikidata":"https://www.wikidata.org/wiki/Q7449072","display_name":"Semantic matching","level":3,"score":0.5233199596405029},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.4809645712375641},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.4657158851623535},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4628787040710449},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.4611663222312927},{"id":"https://openalex.org/C182861755","wikidata":"https://www.wikidata.org/wiki/Q5158391","display_name":"Concept search","level":4,"score":0.4426402747631073},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42263007164001465},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4124370217323303},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3851056694984436},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.2723999619483948},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.1668427586555481},{"id":"https://openalex.org/C6881194","wikidata":"https://www.wikidata.org/wiki/Q7449091","display_name":"Semantic technology","level":4,"score":0.16168364882469177},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.14311492443084717},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08528923988342285},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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:10.1109/ijcnn52387.2021.9533630","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533630","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7391918885","display_name":null,"funder_award_id":"DUT18JC28,DUT19ZD103,DUT21LAB115","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1722903425","https://openalex.org/W2136189984","https://openalex.org/W2186845332","https://openalex.org/W2260901818","https://openalex.org/W2472472130","https://openalex.org/W2766284073","https://openalex.org/W2808308446","https://openalex.org/W2890670455","https://openalex.org/W2913640436","https://openalex.org/W2922386288","https://openalex.org/W2963403868","https://openalex.org/W2964121744","https://openalex.org/W2964347220","https://openalex.org/W2971257822","https://openalex.org/W3098851962","https://openalex.org/W3120375180","https://openalex.org/W3135333592","https://openalex.org/W4297979306","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6637429262","https://openalex.org/W6680450716","https://openalex.org/W6692878851","https://openalex.org/W6739901393","https://openalex.org/W6788084058","https://openalex.org/W6791160869"],"related_works":["https://openalex.org/W2103835134","https://openalex.org/W1965623300","https://openalex.org/W2359259132","https://openalex.org/W3134365128","https://openalex.org/W2774861092","https://openalex.org/W2114077504","https://openalex.org/W2807098362","https://openalex.org/W4387489691","https://openalex.org/W2084010214","https://openalex.org/W2388581364"],"abstract_inverted_index":{"Due":[0],"to":[1,61,76,111],"rarely":[2],"considering":[3],"document":[4,98,108],"popularity":[5],"and":[6,65,81,97,106,124],"personalization":[7],"issues":[8],"at":[9],"the":[10,14,23,28,35,49,71,79,82,89,93,100,104,107,113,125,129,137],"same":[11],"time":[12],"in":[13,27],"extraction":[15],"of":[16,30,103,115,131],"semantic":[17,20,52,63,83,90,145],"features":[18],"based":[19,143],"matching":[21],"algorithms,":[22],"accuracy":[24],"is":[25,44,74,85,109,133],"low":[26],"field":[29],"information":[31,40,116,140],"retrieval.":[32,117],"To":[33],"solve":[34],"problem,":[36],"an":[37],"improved":[38],"personalized":[39],"retrieval":[41,141],"algorithm":[42],"DSMN":[43,46,132],"proposed.":[45],"bases":[47],"on":[48,121,144],"deep":[50],"struct":[51],"model":[53],"(DSSM),":[54],"uses":[55],"independent":[56],"recurrent":[57],"neural":[58],"network":[59],"(IndRNN)":[60],"extract":[62,78],"features,":[64,80],"process":[66],"long":[67],"sequences.":[68],"In":[69],"DSMN,":[70],"self-attention":[72],"mechanism":[73],"used":[75],"further":[77],"similarity":[84,91],"calculated.":[86],"By":[87],"combining":[88],"with":[92],"processed":[94],"user":[95],"characteristics":[96],"popularity,":[99],"relevance":[101],"score":[102],"query":[105],"calculated":[110],"improve":[112],"efficiency":[114],"Experiments":[118],"are":[119],"done":[120],"four":[122],"datasets,":[123],"results":[126],"show":[127],"that":[128],"performance":[130],"significantly":[134],"better":[135],"than":[136],"other":[138],"state-of-the-art":[139],"algorithms":[142],"matching.":[146]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
