{"id":"https://openalex.org/W3185628561","doi":"https://doi.org/10.1109/siu53274.2021.9478035","title":"Deep Learning Based Query Expansion for Content Relevance Tracking","display_name":"Deep Learning Based Query Expansion for Content Relevance Tracking","publication_year":2021,"publication_date":"2021-06-09","ids":{"openalex":"https://openalex.org/W3185628561","doi":"https://doi.org/10.1109/siu53274.2021.9478035","mag":"3185628561"},"language":"en","primary_location":{"id":"doi:10.1109/siu53274.2021.9478035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu53274.2021.9478035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th Signal Processing and Communications Applications Conference (SIU)","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/A5075817320","display_name":"Beyzanur Sara\u00e7lar","orcid":"https://orcid.org/0000-0002-4202-1657"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Beyzanur Sara\u00e7lar","raw_affiliation_strings":["Sefamerve Ar-Ge Merkezi,İstanbul,Türkiye"],"affiliations":[{"raw_affiliation_string":"Sefamerve Ar-Ge Merkezi,İstanbul,Türkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059288728","display_name":"Birol Kuyumcu","orcid":"https://orcid.org/0000-0002-6366-6198"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Birol Kuyumcu","raw_affiliation_strings":["Sefamerve Ar-Ge Merkezi,Ankara,Türkiye"],"affiliations":[{"raw_affiliation_string":"Sefamerve Ar-Ge Merkezi,Ankara,Türkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022518507","display_name":"Selman Del\u0131l","orcid":"https://orcid.org/0000-0001-8149-3561"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Selman Del\u0131l","raw_affiliation_strings":["Sefamerve Ar-Ge Merkezi,İstanbul,Türkiye"],"affiliations":[{"raw_affiliation_string":"Sefamerve Ar-Ge Merkezi,İstanbul,Türkiye","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065661615","display_name":"C\u00fcneyt Aksakall\u0131","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"C\u00fcneyt Aksakalli","raw_affiliation_strings":["Sefamerve Ar-Ge Merkezi,İstanbul,Türkiye"],"affiliations":[{"raw_affiliation_string":"Sefamerve Ar-Ge Merkezi,İstanbul,Türkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5075817320"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14436748,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9976000189781189,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9976000189781189,"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":0.9973999857902527,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9914000034332275,"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":0.8316339254379272},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6577249765396118},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6398835182189941},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6382315158843994},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5674706101417542},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.518455445766449},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.5171434283256531},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.4748259484767914},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.473591148853302},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.4352797269821167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3944282829761505},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0817512571811676}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8316339254379272},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6577249765396118},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6398835182189941},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6382315158843994},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5674706101417542},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.518455445766449},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.5171434283256531},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.4748259484767914},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.473591148853302},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.4352797269821167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3944282829761505},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0817512571811676},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu53274.2021.9478035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu53274.2021.9478035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2130942839","https://openalex.org/W2147880316","https://openalex.org/W2154652894","https://openalex.org/W2157331557","https://openalex.org/W2322434968","https://openalex.org/W2514317811","https://openalex.org/W2626376796","https://openalex.org/W2963140597","https://openalex.org/W2963212250","https://openalex.org/W2964308564","https://openalex.org/W2996284762","https://openalex.org/W3116714104"],"related_works":["https://openalex.org/W1601704076","https://openalex.org/W2350026801","https://openalex.org/W3017013479","https://openalex.org/W3003296168","https://openalex.org/W2799419010","https://openalex.org/W2161902337","https://openalex.org/W1984668040","https://openalex.org/W2363027842","https://openalex.org/W2399754499","https://openalex.org/W2137843624"],"abstract_inverted_index":{"Search":[0],"engine":[1,126],"ads,":[2],"which":[3],"constitute":[4],"an":[5],"important":[6,31],"part":[7],"of":[8,34,40,55,68,77,170,177],"digital":[9],"advertising":[10],"expenditures,":[11],"are":[12],"formed":[13],"by":[14,97,197],"defining":[15],"keywords":[16],"to":[17,24,91,99,145,154,190],"specified":[18],"ad":[19,35,43,94,127],"sets":[20,128],"and":[21,51,73,82,89,103,129,139],"directing":[22],"them":[23],"the":[25,38,41,48,53,63,66,69,74,147,155,157,165,175,178,185,188],"relevant":[26],"pages.":[27],"It":[28,86],"is":[29,45,87],"very":[30],"in":[32,164,184],"terms":[33],"conversion":[36],"that":[37,57,121],"content":[39,78],"target":[42,130],"page":[44,71,83,131],"compatible":[46],"with":[47],"word":[49],"set":[50,95,168],"targets":[52],"needs":[54],"customers":[56],"may":[58],"change":[59,79],"over":[60],"time.":[61],"On":[62],"other":[64],"hand,":[65],"size":[67],"landing":[70],"volume":[72],"high":[75],"speed":[76],"cause":[80],"query":[81],"matching":[84,195],"problems.":[85],"time-consuming":[88],"costly":[90],"evaluate":[92],"each":[93],"one":[96,98],"detect":[100],"incorrect":[101],"matches":[102,123],"ensure":[104],"correct":[105],"matches.":[106],"In":[107],"this":[108],"study,":[109],"a":[110,192],"new":[111],"method":[112],"called":[113],"Query-Page":[114],"Matching":[115],"Model":[116],"(QPMM)":[117],"has":[118],"been":[119],"developed":[120],"evaluates":[122],"between":[124,150],"search":[125],"content.":[132],"QPMM":[133],"uses":[134],"Deep":[135],"Neural":[136],"Networks":[137],"(DNN)":[138],"Named":[140],"Entity":[141],"Recognition":[142],"(NER)":[143],"methods":[144],"calculate":[146],"match":[148],"score":[149,163,196],"query-page":[151],"groups.":[152],"According":[153],"results,":[156],"NER":[158],"model":[159,182],"achieved":[160],"0.94":[161],"F1":[162],"labeled":[166],"data":[167],"consisting":[169],"nearly":[171],"16,000":[172],"samples,":[173],"increasing":[174],"performance":[176],"SSEM.":[179],"The":[180],"DNN":[181],"used":[183],"study":[186],"enabled":[187],"system":[189],"produce":[191],"successful":[193],"semantic":[194],"obtaining":[198],"0.56":[199],"ROUGE-1":[200],"score.":[201]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}