{"id":"https://openalex.org/W4213211355","doi":"https://doi.org/10.1145/3488560.3498517","title":"Dy-HIEN","display_name":"Dy-HIEN","publication_year":2022,"publication_date":"2022-02-11","ids":{"openalex":"https://openalex.org/W4213211355","doi":"https://doi.org/10.1145/3488560.3498517"},"language":"en","primary_location":{"id":"doi:10.1145/3488560.3498517","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488560.3498517","pdf_url":null,"source":{"id":"https://openalex.org/S4363608885","display_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","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/A5067129219","display_name":"Zhenyun Hao","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenyun Hao","raw_affiliation_strings":["Shandong University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013075379","display_name":"Jianing Hao","orcid":"https://orcid.org/0000-0001-7110-8236"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianing Hao","raw_affiliation_strings":["Shandong University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101523367","display_name":"Zhaohui Peng","orcid":"https://orcid.org/0000-0002-1296-2114"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaohui Peng","raw_affiliation_strings":["Shandong University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035708362","display_name":"Senzhang Wang","orcid":"https://orcid.org/0000-0002-3615-4859"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Senzhang Wang","raw_affiliation_strings":["Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036357902","display_name":"Philip S. Yu","orcid":"https://orcid.org/0000-0002-3491-5968"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip S. Yu","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422555","display_name":"Xue Wang","orcid":"https://orcid.org/0000-0002-0063-5896"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Wang","raw_affiliation_strings":["Shandong University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100370411","display_name":"Jian Wang","orcid":"https://orcid.org/0000-0002-1559-9314"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Wang","raw_affiliation_strings":["Shandong University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5067129219"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":0.437,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58019142,"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":"363","last_page":"371"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9987000226974487,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9987000226974487,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9965000152587891,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8322242498397827},{"id":"https://openalex.org/keywords/purchasing","display_name":"Purchasing","score":0.7915219068527222},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.5320765972137451},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5182066559791565},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.44077178835868835},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4391276240348816},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4217965006828308},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.41085439920425415},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3243641257286072},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3206307888031006},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.30524998903274536},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29299360513687134}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8322242498397827},{"id":"https://openalex.org/C2778813691","wikidata":"https://www.wikidata.org/wiki/Q1369832","display_name":"Purchasing","level":2,"score":0.7915219068527222},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.5320765972137451},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5182066559791565},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.44077178835868835},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4391276240348816},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4217965006828308},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.41085439920425415},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3243641257286072},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3206307888031006},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.30524998903274536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29299360513687134},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","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},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3488560.3498517","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488560.3498517","pdf_url":null,"source":{"id":"https://openalex.org/S4363608885","display_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W2064675550","https://openalex.org/W2154851992","https://openalex.org/W2393319904","https://openalex.org/W2723293840","https://openalex.org/W2808787330","https://openalex.org/W2947297791","https://openalex.org/W2951045934","https://openalex.org/W2954691982","https://openalex.org/W2962756421","https://openalex.org/W2963707260","https://openalex.org/W2966659172","https://openalex.org/W2998116985","https://openalex.org/W3012752604","https://openalex.org/W3034260007","https://openalex.org/W3099427620","https://openalex.org/W3104097132","https://openalex.org/W4205807230","https://openalex.org/W6600561556","https://openalex.org/W6603740758"],"related_works":["https://openalex.org/W4230197055","https://openalex.org/W4296749040","https://openalex.org/W621808327","https://openalex.org/W644007644","https://openalex.org/W2497198634","https://openalex.org/W3012257603","https://openalex.org/W1586784764","https://openalex.org/W4292264782","https://openalex.org/W1559289099","https://openalex.org/W3016450995"],"abstract_inverted_index":{"Many":[0],"video":[1,133,216],"websites":[2],"offer":[3],"packages":[4,52,93],"composed":[5],"of":[6,16,62,90,101,106,194,212,262,269],"paid":[7,30],"videos.":[8,31,108],"Users":[9],"who":[10],"purchase":[11,60,143,210],"a":[12,120,132,152,176,202,267],"package":[13,246],"become":[14,41],"members":[15,42],"the":[17,23,29,45,50,59,78,83,99,104,107,144,171,192,199,209,215,225,240,245,260,263],"website,":[18],"and":[19,92,103,186,196,229,233],"thus":[20],"can":[21,47],"enjoy":[22],"membership":[24,164],"service,":[25],"such":[26,71,97,116],"as":[27,98],"watching":[28,131],"It":[32],"is":[33,124,205,219],"practically":[34],"important":[35,88],"to":[36,77,82,114,127,142,189,207,238,258],"predict":[37,58],"which":[38,166],"users":[39,63],"will":[40],"so":[43],"that":[44,138],"website":[46],"recommend":[48],"them":[49],"suitable":[51],"for":[53,161,163],"purchasing.":[54],"Existing":[55,109],"works":[56,72],"generally":[57],"behavior":[61],"through":[64],"capturing":[65],"their":[66],"interests":[67],"in":[68,248],"items.":[69],"However,":[70],"cannot":[73],"be":[74],"directly":[75],"applied":[76,237],"studied":[79],"problem":[80],"due":[81],"following":[84],"challenges.":[85],"First,":[86,214],"some":[87],"features":[89],"videos":[91,195],"change":[94],"over":[95],"time,":[96],"number":[100],"clicks":[102,226],"update":[105],"methods":[110],"are":[111,236,256],"not":[112,135],"capable":[113],"capture":[115],"dynamic":[117,177],"features.":[118],"Second,":[119],"user's":[121],"purchasing":[122],"intention":[123,211,241],"very":[125],"hard":[126],"capture.":[128],"A":[129],"user":[130],"does":[134],"necessarily":[136],"mean":[137],"he/she":[139],"would":[140],"like":[141],"corresponding":[145],"package.":[146],"In":[147,170,198],"this":[148],"paper,":[149],"we":[150,174],"propose":[151],"Dynamic":[153],"Evolution":[154],"based":[155,223],"Deep":[156],"Hierarchical":[157],"Intention":[158],"Network":[159],"(Dy-HIEN":[160],"short)":[162],"prediction,":[165],"contains":[167],"two":[168],"modules.":[169],"first":[172],"module,":[173,201],"design":[175],"embedding":[178,193],"learning":[179],"method,":[180],"applying":[181],"multi-relational":[182],"heterogeneous":[183],"information":[184],"network":[185],"attention":[187],"mechanism":[188],"effectively":[190],"represent":[191],"packages.":[197],"second":[200],"hierarchical":[203],"method":[204],"proposed":[206,264],"extract":[208],"users.":[213],"play":[217],"history":[218],"divided":[220],"into":[221],"sessions":[222],"on":[224,227,253,266],"packages,":[228],"then":[230],"time-order":[231],"encoder":[232],"kernel":[234],"functions":[235],"mine":[239],"pattern":[242],"associated":[243],"with":[244],"clicked":[247],"each":[249],"session.":[250],"Extensive":[251],"experiments":[252],"real-world":[254],"datasets":[255],"conducted":[257],"demonstrate":[259],"advantages":[261],"model":[265],"variety":[268],"evaluation":[270],"metrics.":[271]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2022-02-24T00:00:00"}