{"id":"https://openalex.org/W4396877838","doi":"https://doi.org/10.1109/tbdata.2024.3399606","title":"Effective Personalized Search With Heterogeneous Graph Based Hawkes Process","display_name":"Effective Personalized Search With Heterogeneous Graph Based Hawkes Process","publication_year":2024,"publication_date":"2024-05-13","ids":{"openalex":"https://openalex.org/W4396877838","doi":"https://doi.org/10.1109/tbdata.2024.3399606"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2024.3399606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2024.3399606","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Big Data","raw_type":"journal-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":null,"display_name":"Xiang Wu","orcid":"https://orcid.org/0000-0002-9170-0410"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Wu","raw_affiliation_strings":["Department of Computer Science, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9170-0410","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059652667","display_name":"Hongchao Qin","orcid":"https://orcid.org/0000-0003-4364-0633"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongchao Qin","raw_affiliation_strings":["Department of Computer Science, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4364-0633","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100742464","display_name":"Rong-Hua Li","orcid":"https://orcid.org/0000-0001-8658-6599"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong-Hua Li","raw_affiliation_strings":["Department of Computer Science, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8658-6599","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111195233","display_name":"Yuchen Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchen Meng","raw_affiliation_strings":["Department of Computer Science, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-6580-1113","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082530668","display_name":"Huanzhong Duan","orcid":"https://orcid.org/0009-0000-7815-6142"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanzhong Duan","raw_affiliation_strings":["Wechat Search Application Deparment, Tencent, Beijing, China","Wechat search application deparment Tencent, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0000-7815-6142","affiliations":[{"raw_affiliation_string":"Wechat Search Application Deparment, Tencent, Beijing, China","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Wechat search application deparment Tencent, Beijing, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111797210","display_name":"Yanxiong Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanxiong Lu","raw_affiliation_strings":["Wechat Search Application Deparment, Tencent, Beijing, China","Wechat search application deparment Tencent, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-5247-1960","affiliations":[{"raw_affiliation_string":"Wechat Search Application Deparment, Tencent, Beijing, China","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Wechat search application deparment Tencent, Beijing, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102641426","display_name":"Yujing Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujing Gao","raw_affiliation_strings":["Department of Computer Science, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-6388-3010","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102826700","display_name":"Fusheng Jin","orcid":"https://orcid.org/0000-0001-5476-0177"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fusheng Jin","raw_affiliation_strings":["Department of Computer Science, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5476-0177","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054991337","display_name":"Guoren Wang","orcid":"https://orcid.org/0000-0002-0181-8379"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoren Wang","raw_affiliation_strings":["Department of Computer Science, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0181-8379","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2044,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43313114,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"11","issue":"2","first_page":"402","last_page":"413"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9210000038146973,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9210000038146973,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T13187","display_name":"Diffusion and Search Dynamics","score":0.9088000059127808,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8488918542861938},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.6844050884246826},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5510374903678894},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5018777847290039},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4871382415294647},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4448421895503998},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43527621030807495},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4342389404773712},{"id":"https://openalex.org/keywords/intuition","display_name":"Intuition","score":0.4281502664089203},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34358668327331543},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33667194843292236},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32246991991996765},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17082831263542175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8488918542861938},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.6844050884246826},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5510374903678894},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5018777847290039},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4871382415294647},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4448421895503998},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43527621030807495},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4342389404773712},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.4281502664089203},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34358668327331543},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33667194843292236},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32246991991996765},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17082831263542175},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbdata.2024.3399606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2024.3399606","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Big Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5766186352","display_name":"\u9762\u5411\u5927\u89c4\u6a21\u65f6\u5e8f\u56fe\u6570\u636e\u7684\u5b50\u56fe\u5339\u914d\u67e5\u8be2\u5904\u7406\u7814\u7a76","funder_award_id":"62072034","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8764403337","display_name":null,"funder_award_id":"U2241211","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W1546897512","https://openalex.org/W1979809564","https://openalex.org/W1980617223","https://openalex.org/W2064675550","https://openalex.org/W2069849731","https://openalex.org/W2105059961","https://openalex.org/W2109677301","https://openalex.org/W2135500808","https://openalex.org/W2143331230","https://openalex.org/W2145413874","https://openalex.org/W2168717408","https://openalex.org/W2171806843","https://openalex.org/W2740070748","https://openalex.org/W2760103357","https://openalex.org/W2799226155","https://openalex.org/W2808908091","https://openalex.org/W2897050313","https://openalex.org/W2902940626","https://openalex.org/W2954765895","https://openalex.org/W2955887579","https://openalex.org/W2962770891","https://openalex.org/W2986068433","https://openalex.org/W2998007616","https://openalex.org/W3034751553","https://openalex.org/W3035148656","https://openalex.org/W3035652925","https://openalex.org/W3093709503","https://openalex.org/W3114989016","https://openalex.org/W3153912254","https://openalex.org/W3200912640","https://openalex.org/W3203749733","https://openalex.org/W3210034782","https://openalex.org/W3214329563","https://openalex.org/W4220779330","https://openalex.org/W4252076394","https://openalex.org/W4285378361","https://openalex.org/W4294170691","https://openalex.org/W4385245566","https://openalex.org/W6639619044","https://openalex.org/W6726873649","https://openalex.org/W6731714541","https://openalex.org/W6745537798","https://openalex.org/W6747223802","https://openalex.org/W6774057418","https://openalex.org/W6780201295","https://openalex.org/W6864424756"],"related_works":["https://openalex.org/W2468279273","https://openalex.org/W2354198838","https://openalex.org/W1989130879","https://openalex.org/W2103419012","https://openalex.org/W4230197055","https://openalex.org/W4296749040","https://openalex.org/W4404605447","https://openalex.org/W621808327","https://openalex.org/W644007644","https://openalex.org/W2497198634"],"abstract_inverted_index":{"Personalized":[0],"search":[1,5,16,23,32,42,65,84,149,165,170,207],"aims":[2],"at":[3],"re-ranking":[4],"results":[6,219],"with":[7],"reference":[8],"to":[9,62,81,109,123,142,159,201],"users'":[10,147],"background":[11],"information.":[12],"The":[13],"state-of-the-art":[14,227],"personalized":[15,114],"methods":[17,228],"often":[18],"consider":[19],"both":[20,188],"the":[21,30,82,87,111,144,161,168,177,189,194,218,226],"short-term":[22,64],"interests":[24,33],"from":[25,34,69],"current":[26,70,83,169,190,206],"session":[27,36,71,76,191,196],"behaviors":[28,77,91,166,181,192,197],"and":[29,48,86,130,193,217],"long-term":[31],"previous":[35],"behaviors.":[37,150],"However,":[38],"sessions":[39,53],"in":[40,182,229],"real-world":[41],"scenarios":[43],"are":[44],"usually":[45],"very":[46],"short,":[47],"a":[49,102,120,135,155,183,203],"large":[50],"number":[51],"of":[52,89,113,146,163,179,231],"contain":[54],"only":[55],"one":[56],"query,":[57],"which":[58],"makes":[59],"it":[60],"difficult":[61],"model":[63,124,176],"interests.":[66],"Intuitively,":[67],"apart":[68],"behaviors,":[72],"some":[73],"recent":[74],"historical":[75,148,164,180,195],"could":[78],"also":[79],"contribute":[80],"interests,":[85],"influence":[88,162,178],"these":[90],"typically":[92],"decays":[93],"over":[94],"time.":[95],"Based":[96],"on":[97,167],"this":[98],"intuition,":[99],"we":[100,117,133,153],"propose":[101,134],"novel":[103],"heterogeneous":[104,121,136],"graph":[105,122,137],"based":[106,140],"Hawkes":[107,157],"process":[108,158],"improve":[110],"effectiveness":[112],"search.":[115],"Specifically,":[116],"first":[118],"construct":[119],"multiple":[125],"relations":[126],"between":[127],"users,":[128],"queries,":[129],"documents.":[131],"Then,":[132],"neural":[138],"network":[139],"algorithm":[141],"encode":[143],"representations":[145],"After":[151],"that,":[152],"develop":[154],"multivariate":[156],"capture":[160],"intent.":[171,208],"Our":[172],"approach":[173,223],"can":[174,198],"dynamically":[175],"continuous":[184],"time":[185],"space.":[186],"Thus,":[187],"be":[199],"utilized":[200],"characterize":[202],"more":[204],"accurate":[205],"We":[209],"evaluate":[210],"our":[211,222],"method":[212],"using":[213],"three":[214],"real-life":[215],"datasets,":[216],"show":[220],"that":[221],"significantly":[224],"outperforms":[225],"terms":[230],"several":[232],"widely-used":[233],"precision":[234],"metrics.":[235]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
