{"id":"https://openalex.org/W4386694196","doi":"https://doi.org/10.1145/3583780.3615512","title":"CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning","display_name":"CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4386694196","doi":"https://doi.org/10.1145/3583780.3615512"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3615512","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583780.3615512","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3615512","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3615512","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102922150","display_name":"Qingtian Bian","orcid":"https://orcid.org/0000-0002-6864-8992"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Qingtian Bian","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-6864-8992","affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029547119","display_name":"Jiaxing Xu","orcid":"https://orcid.org/0000-0003-2498-5812"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jiaxing Xu","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0003-2498-5812","affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101716409","display_name":"Hui Fang","orcid":"https://orcid.org/0000-0001-9788-6634"},"institutions":[{"id":"https://openalex.org/I181679659","display_name":"Shanghai University of Finance and Economics","ror":"https://ror.org/00wtvfq62","country_code":"CN","type":"education","lineage":["https://openalex.org/I181679659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Fang","raw_affiliation_strings":["Shanghai University of Finance and Economics, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9788-6634","affiliations":[{"raw_affiliation_string":"Shanghai University of Finance and Economics, Shanghai, China","institution_ids":["https://openalex.org/I181679659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074491217","display_name":"Yiping Ke","orcid":"https://orcid.org/0000-0001-9473-3202"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yiping Ke","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-9473-3202","affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2691,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.90026135,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"120","last_page":"130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9954000115394592,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9878000020980835,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8541355133056641},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7174685001373291},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6269147992134094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4991905689239502},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.44029417634010315},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.42103007435798645},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38109564781188965},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05029386281967163}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8541355133056641},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7174685001373291},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6269147992134094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4991905689239502},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.44029417634010315},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.42103007435798645},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38109564781188965},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05029386281967163},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3583780.3615512","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583780.3615512","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3615512","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2309.04802","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2309.04802","pdf_url":"https://arxiv.org/pdf/2309.04802","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/170988","is_oa":true,"landing_page_url":"https://hdl.handle.net/10356/170988","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/170988/2/CPMR_CIKM_23_CAMERA_READY.pdf","source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"}],"best_oa_location":{"id":"doi:10.1145/3583780.3615512","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583780.3615512","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3615512","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1261299744","display_name":null,"funder_award_id":"MOE-T2EP20220-0006","funder_id":"https://openalex.org/F4320320709","funder_display_name":"National Research Foundation Singapore"},{"id":"https://openalex.org/G155108461","display_name":null,"funder_award_id":"STEM RIE2025","funder_id":"https://openalex.org/F4320320751","funder_display_name":"Ministry of Education - Singapore"},{"id":"https://openalex.org/G2534699186","display_name":null,"funder_award_id":"23QA1403100","funder_id":"https://openalex.org/F4320327803","funder_display_name":"Shanghai Rising-Star Program"},{"id":"https://openalex.org/G2626357709","display_name":null,"funder_award_id":"72192832","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5949233296","display_name":null,"funder_award_id":"RIE2025","funder_id":"https://openalex.org/F4320320709","funder_display_name":"National Research Foundation Singapore"},{"id":"https://openalex.org/G6854926366","display_name":null,"funder_award_id":"Tier 2","funder_id":"https://openalex.org/F4320320751","funder_display_name":"Ministry of Education - Singapore"},{"id":"https://openalex.org/G7914167519","display_name":"\u878d\u5408\u591a\u6e90\u6570\u636e\u7684\u53ef\u89e3\u91ca\u63a8\u8350\u7cfb\u7edf","funder_award_id":"21ZR1421900","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"},{"id":"https://openalex.org/G8128072439","display_name":null,"funder_award_id":"MOE-T2EP20220-0006","funder_id":"https://openalex.org/F4320320751","funder_display_name":"Ministry of Education - Singapore"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"},{"id":"https://openalex.org/F4320320751","display_name":"Ministry of Education - Singapore","ror":"https://ror.org/01kcva023"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"},{"id":"https://openalex.org/F4320327803","display_name":"Shanghai Rising-Star Program","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386694196.pdf","grobid_xml":"https://content.openalex.org/works/W4386694196.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W2171279286","https://openalex.org/W2583674722","https://openalex.org/W2594230395","https://openalex.org/W2723293840","https://openalex.org/W2739805805","https://openalex.org/W2750004028","https://openalex.org/W2783272285","https://openalex.org/W2799125281","https://openalex.org/W2808310571","https://openalex.org/W2809290718","https://openalex.org/W2902940626","https://openalex.org/W2908404712","https://openalex.org/W2911829170","https://openalex.org/W2912351665","https://openalex.org/W2913189099","https://openalex.org/W2937556626","https://openalex.org/W2949136897","https://openalex.org/W2951369132","https://openalex.org/W2954765895","https://openalex.org/W2962745591","https://openalex.org/W2962989965","https://openalex.org/W2963367478","https://openalex.org/W2965381393","https://openalex.org/W2965683718","https://openalex.org/W2966483207","https://openalex.org/W2984100107","https://openalex.org/W2987679642","https://openalex.org/W2989915885","https://openalex.org/W2991079997","https://openalex.org/W2996931760","https://openalex.org/W2997261254","https://openalex.org/W2998103904","https://openalex.org/W3004578093","https://openalex.org/W3034329572","https://openalex.org/W3035666843","https://openalex.org/W3045108742","https://openalex.org/W3045200674","https://openalex.org/W3066766382","https://openalex.org/W3080122044","https://openalex.org/W3083058384","https://openalex.org/W3087931390","https://openalex.org/W3098040575","https://openalex.org/W3098649723","https://openalex.org/W3101588560","https://openalex.org/W3101707147","https://openalex.org/W3147409145","https://openalex.org/W3156994078","https://openalex.org/W3166827814","https://openalex.org/W3171370202","https://openalex.org/W3178835722","https://openalex.org/W3201053014","https://openalex.org/W3209048663","https://openalex.org/W3210512903","https://openalex.org/W4220698623","https://openalex.org/W4221160810","https://openalex.org/W4224314868","https://openalex.org/W4224319012","https://openalex.org/W4224324779","https://openalex.org/W4287025196","https://openalex.org/W4297808394","https://openalex.org/W4297971002","https://openalex.org/W6741729866"],"related_works":["https://openalex.org/W2349222429","https://openalex.org/W2116230991","https://openalex.org/W3117430770","https://openalex.org/W2046058552","https://openalex.org/W2590751808","https://openalex.org/W1972377868","https://openalex.org/W2132709506","https://openalex.org/W2098730537","https://openalex.org/W2186895195","https://openalex.org/W2748557612"],"abstract_inverted_index":{"The":[0,240],"motivations":[1],"of":[2,37,54,71,80,132,172,185,216,238],"users":[3,56],"to":[4,33,76,96,168,206],"make":[5],"interactions":[6,67],"can":[7],"be":[8],"divided":[9],"into":[10,152],"static":[11,118],"preference":[12],"and":[13,31,61,103,113,123,136,177,201,232],"dynamic":[14,81],"interest.":[15],"To":[16,84,127],"accurately":[17],"model":[18,77,97],"user":[19,112],"representations":[20,109],"over":[21],"time,":[22],"recent":[23,52,72],"studies":[24],"in":[25,57,100],"sequential":[26],"recommendation":[27,223],"utilize":[28],"information":[29],"propagation":[30],"evolution":[32,63,79,99,135,171],"mine":[34],"from":[35],"batches":[36,215],"arriving":[38],"interactions.":[39,217],"However,":[40],"they":[41],"ignore":[42],"the":[43,51,58,69,78,98,130,148,160,170,183,188,208],"fact":[44],"that":[45,226],"people":[46],"are":[47],"easily":[48],"influenced":[49],"by":[50,106,146],"actions":[53],"other":[55],"contextual":[59,104,124,178],"scenario,":[60],"applying":[62],"across":[64,175],"all":[65],"historical":[66,102,120,176],"dilutes":[68],"importance":[70],"ones,":[73],"thus":[74],"failing":[75],"interest":[82],"accurately.":[83],"address":[85],"this":[86],"issue,":[87],"we":[88,139],"propose":[89],"a":[90,141,165],"Context-Aware":[91],"Pseudo-Multi-Task":[92,142],"Recommender":[93],"System":[94],"(CPMR)":[95],"both":[101],"scenarios":[105],"creating":[107],"three":[108,237],"for":[110,156,198],"each":[111],"item":[114],"under":[115],"different":[116],"dynamics:":[117],"embedding,":[119],"temporal":[121,125,133,173,210],"states,":[122],"states.":[126],"dually":[128],"improve":[129],"performance":[131],"states":[134,174,211],"incremental":[137,149,199],"recommendation,":[138],"design":[140],"Learning":[143],"(PMTL)":[144],"paradigm":[145],"stacking":[147],"single-target":[150],"recommendations":[151],"one":[153,195],"multi-target":[154],"task":[155],"joint":[157],"optimization.":[158],"Within":[159],"PMTL":[161],"paradigm,":[162],"CPMR":[163,193,227],"employs":[164],"shared-bottom":[166],"network":[167],"conduct":[169],"scenarios,":[179],"as":[180,182],"well":[181],"fusion":[184],"them":[186],"at":[187,245],"user-item":[189],"level.":[190],"In":[191],"addition,":[192],"incorporates":[194],"real":[196],"tower":[197],"predictions,":[200],"two":[202],"pseudo":[203],"towers":[204],"dedicated":[205],"updating":[207],"respective":[209],"based":[212],"on":[213,220,236],"new":[214],"Experimental":[218],"results":[219],"four":[221],"benchmark":[222],"datasets":[224],"show":[225],"consistently":[228],"outperforms":[229],"state-of-the-art":[230],"baselines":[231],"achieves":[233],"significant":[234],"gains":[235],"them.":[239],"source":[241],"code":[242],"is":[243],"available":[244],"https://github.com/DiMarzioBian/CPMR.":[246]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2023-09-14T00:00:00"}