{"id":"https://openalex.org/W4245817654","doi":"https://doi.org/10.1145/3510362.3510368","title":"User Click Preference Prediction Using Attention-based LSTM Model","display_name":"User Click Preference Prediction Using Attention-based LSTM Model","publication_year":2021,"publication_date":"2021-10-15","ids":{"openalex":"https://openalex.org/W4245817654","doi":"https://doi.org/10.1145/3510362.3510368"},"language":"en","primary_location":{"id":"doi:10.1145/3510362.3510368","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3510362.3510368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 6th International Conference on Systems, Control and Communications (ICSCC)","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/A5032265449","display_name":"Sara Abri","orcid":"https://orcid.org/0000-0001-6637-9787"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sara Abri","raw_affiliation_strings":["Mavinci Informatics Inc, Turkey"],"affiliations":[{"raw_affiliation_string":"Mavinci Informatics Inc, Turkey","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026482781","display_name":"Rayan Abri","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rayan Abri","raw_affiliation_strings":["Mavinci Informatics Inc, Turkey"],"affiliations":[{"raw_affiliation_string":"Mavinci Informatics Inc, Turkey","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077448010","display_name":"Salih \u00c7etin","orcid":"https://orcid.org/0009-0003-1713-702X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Salih Cetin","raw_affiliation_strings":["Mavinci Informatics Inc, Turkey"],"affiliations":[{"raw_affiliation_string":"Mavinci Informatics Inc, Turkey","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032265449"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5508,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75884554,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"30","last_page":"34"},"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9966999888420105,"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":0.8301188349723816},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6978408098220825},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6127659678459167},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5661443471908569},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.565079391002655},{"id":"https://openalex.org/keywords/mean-reciprocal-rank","display_name":"Mean reciprocal rank","score":0.5542263984680176},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.544833779335022},{"id":"https://openalex.org/keywords/reciprocal","display_name":"Reciprocal","score":0.5027565956115723},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4995102882385254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.481569766998291},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46910151839256287},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.4638645052909851},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4501934349536896},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.44489046931266785},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.43212074041366577},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.14741525053977966}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8301188349723816},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6978408098220825},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6127659678459167},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5661443471908569},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.565079391002655},{"id":"https://openalex.org/C44083865","wikidata":"https://www.wikidata.org/wiki/Q3853443","display_name":"Mean reciprocal rank","level":2,"score":0.5542263984680176},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.544833779335022},{"id":"https://openalex.org/C2777742833","wikidata":"https://www.wikidata.org/wiki/Q1964083","display_name":"Reciprocal","level":2,"score":0.5027565956115723},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4995102882385254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.481569766998291},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46910151839256287},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.4638645052909851},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4501934349536896},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.44489046931266785},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.43212074041366577},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.14741525053977966},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3510362.3510368","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3510362.3510368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 6th International Conference on Systems, Control and Communications (ICSCC)","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":17,"referenced_works":["https://openalex.org/W1546897512","https://openalex.org/W1979809564","https://openalex.org/W1980617223","https://openalex.org/W2039771848","https://openalex.org/W2114721537","https://openalex.org/W2122654842","https://openalex.org/W2135500808","https://openalex.org/W2211192759","https://openalex.org/W2562607067","https://openalex.org/W2562898347","https://openalex.org/W2578506968","https://openalex.org/W3006484790","https://openalex.org/W3043170443","https://openalex.org/W3046082395","https://openalex.org/W3096801289","https://openalex.org/W3128338244","https://openalex.org/W4234455345"],"related_works":["https://openalex.org/W2944454640","https://openalex.org/W4205887426","https://openalex.org/W4379381520","https://openalex.org/W143007064","https://openalex.org/W2782111296","https://openalex.org/W2140634465","https://openalex.org/W3150259772","https://openalex.org/W4231510080","https://openalex.org/W2643304348","https://openalex.org/W1982173547"],"abstract_inverted_index":{"Predicting":[0],"user":[1,47,59,73,85],"clicking":[2],"preferences":[3,61],"is":[4,100],"a":[5,42,63],"critical":[6],"issue":[7],"in":[8,30,142,149],"the":[9,14,25,31,68,81,90,97,103,107,111,116,143,150,158],"ranking":[10,120],"process":[11],"reflected":[12],"by":[13,154],"returned":[15],"results":[16],"from":[17,124],"search":[18,127],"engines.":[19],"A":[20],"few":[21],"studies":[22],"have":[23],"explored":[24],"extracted":[26,99],"sequen-":[27],"tial":[28],"information":[29,36,95,105],"queries":[32,70],"while":[33],"this":[34,77],"underlying":[35],"can":[37],"be":[38],"focused":[39],"on":[40,62],"as":[41,87,102],"valuable":[43],"source":[44],"for":[45],"predicting":[46],"click":[48,60,74],"preferences.":[49],"This":[50],"paper":[51],"proposes":[52],"an":[53,125],"attention-based":[54,144],"LSTM":[55,91,108,145],"model":[56,117,146],"to":[57,89,133,157],"predict":[58],"submitted":[64],"input":[65],"quey":[66],"using":[67,147],"previous":[69],"sequence":[71],"and":[72,129],"history.":[75],"In":[76],"model,":[78],"we":[79],"use":[80],"topic":[82],"distribution":[83],"of":[84,96,106],"documents":[86],"attention":[88,104],"model.":[92],"The":[93,137],"feature":[94],"content":[98],"used":[101],"network":[109],"during":[110],"training":[112],"process.":[113],"We":[114],"compare":[115],"with":[118,122],"topic-based":[119,160],"models":[121],"data":[123],"AOL":[126],"engine":[128],"Session":[130],"TREC":[131],"2013,2014":[132],"show":[134],"its":[135],"performance.":[136],"result":[138],"reveals":[139],"significant":[140],"improvement":[141],"topics":[148],"Mean":[151],"Reciprocal":[152],"Rank":[153],"13%":[155],"compared":[156],"baseline":[159],"models.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}