{"id":"https://openalex.org/W4413773121","doi":"https://doi.org/10.3390/bdcc9090222","title":"DPBD: Disentangling Preferences via Borrowing Duration for Book Recommendation","display_name":"DPBD: Disentangling Preferences via Borrowing Duration for Book Recommendation","publication_year":2025,"publication_date":"2025-08-28","ids":{"openalex":"https://openalex.org/W4413773121","doi":"https://doi.org/10.3390/bdcc9090222"},"language":"en","primary_location":{"id":"doi:10.3390/bdcc9090222","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc9090222","pdf_url":"https://www.mdpi.com/2504-2289/9/9/222/pdf?version=1756372363","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2504-2289/9/9/222/pdf?version=1756372363","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039343813","display_name":"Zhifang Liao","orcid":"https://orcid.org/0000-0002-5525-904X"},"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":"Zhifang Liao","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha 410083, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha 410083, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430200","display_name":"Liping Chen","orcid":"https://orcid.org/0000-0003-4873-8533"},"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":"Liping Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha 410083, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha 410083, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013463992","display_name":"Yi Qi","orcid":"https://orcid.org/0000-0002-6314-2626"},"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":"Yuelan Qi","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha 410083, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha 410083, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100325874","display_name":"Fei Li","orcid":"https://orcid.org/0000-0003-0332-4011"},"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"]},{"id":"https://openalex.org/I2800350601","display_name":"Central Committee of the Communist Party of China","ror":"https://ror.org/00akhyy70","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800350601"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fei Li","raw_affiliation_strings":["Communist Youth League Committee, Central South University, Changsha 410083, China"],"affiliations":[{"raw_affiliation_string":"Communist Youth League Committee, Central South University, Changsha 410083, China","institution_ids":["https://openalex.org/I2800350601","https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100325874"],"corresponding_institution_ids":["https://openalex.org/I139660479","https://openalex.org/I2800350601"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":3.2508,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.93349824,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"9","issue":"9","first_page":"222","last_page":"222"},"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/T10028","display_name":"Topic Modeling","score":0.9955000281333923,"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/T11106","display_name":"Data Management and Algorithms","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/duration","display_name":"Duration (music)","score":0.7990320920944214},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3784889280796051},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.15820470452308655},{"id":"https://openalex.org/keywords/literature","display_name":"Literature","score":0.08350867033004761}],"concepts":[{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.7990320920944214},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3784889280796051},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.15820470452308655},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.08350867033004761}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/bdcc9090222","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc9090222","pdf_url":"https://www.mdpi.com/2504-2289/9/9/222/pdf?version=1756372363","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3a613360aacb40579383b4a605727496","is_oa":true,"landing_page_url":"https://doaj.org/article/3a613360aacb40579383b4a605727496","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data and Cognitive Computing, Vol 9, Iss 9, p 222 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/bdcc9090222","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc9090222","pdf_url":"https://www.mdpi.com/2504-2289/9/9/222/pdf?version=1756372363","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4413773121.pdf","grobid_xml":"https://content.openalex.org/works/W4413773121.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1966553486","https://openalex.org/W1988320457","https://openalex.org/W1996508123","https://openalex.org/W2042281163","https://openalex.org/W2095705004","https://openalex.org/W2117311203","https://openalex.org/W2127480961","https://openalex.org/W2139948651","https://openalex.org/W2159094788","https://openalex.org/W2171279286","https://openalex.org/W2346327804","https://openalex.org/W2564903370","https://openalex.org/W2583674722","https://openalex.org/W2783272285","https://openalex.org/W2902040508","https://openalex.org/W2963367478","https://openalex.org/W2964296635","https://openalex.org/W2965744319","https://openalex.org/W2984100107","https://openalex.org/W2990987115","https://openalex.org/W2996931760","https://openalex.org/W3044893918","https://openalex.org/W3100480425","https://openalex.org/W3105472188","https://openalex.org/W3135396887","https://openalex.org/W3190794503","https://openalex.org/W4393307203","https://openalex.org/W4412875463"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2348837382","https://openalex.org/W746329893","https://openalex.org/W4205872570","https://openalex.org/W4245971243","https://openalex.org/W1922805944","https://openalex.org/W4253588120","https://openalex.org/W2383732295"],"abstract_inverted_index":{"Traditional":[0],"book":[1,23,39,48],"recommendation":[2,49],"methods":[3,14],"predominantly":[4],"rely":[5],"on":[6,57,154,180,186],"collaborative":[7],"filtering":[8],"and":[9,25,121,178,182,184],"context-based":[10],"approaches.":[11],"However,":[12],"existing":[13],"fail":[15],"to":[16,87,113,127,143],"account":[17],"for":[18,101,148],"the":[19,26,78,161,165,174,189],"order":[20],"of":[21,32,164],"users\u2019":[22,38],"borrowings":[24],"duration":[27,95],"they":[28],"hold":[29],"them,":[30],"both":[31,136],"which":[33,53],"are":[34],"crucial":[35],"indicators":[36],"reflecting":[37],"preferences.":[40],"To":[41],"address":[42],"this":[43],"challenge,":[44],"we":[45],"propose":[46],"a":[47,73],"framework":[50,133],"called":[51],"DPBD,":[52],"disentangles":[54],"preferences":[55],"based":[56],"borrowing":[58,67,90,94],"duration,":[59],"thereby":[60],"explicitly":[61],"modeling":[62],"temporal":[63],"patterns":[64],"in":[65],"library":[66,158],"behaviors.":[68],"The":[69,81,106,132],"DPBD":[70,167],"model":[71,128,168,175],"adopts":[72],"dual-path":[74],"neural":[75],"architecture":[76],"comprising":[77],"following:":[79],"(1)":[80],"item-level":[82],"path":[83,108,137],"utilizes":[84],"self-attention":[85,125],"networks":[86,126],"encode":[88],"historical":[89],"sequences":[91],"while":[92],"incorporating":[93],"as":[96],"an":[97],"adaptive":[98],"weighting":[99],"mechanism":[100],"attention":[102],"score":[103],"refinement.":[104],"(2)":[105],"feature-level":[107],"employs":[109],"gated":[110],"fusion":[111],"modules":[112],"effectively":[114],"aggregate":[115],"multi-source":[116],"item":[117],"attributes":[118],"(e.g.,":[119],"category":[120],"title),":[122],"followed":[123],"by":[124],"feature":[129],"transition":[130],"patterns.":[131],"subsequently":[134],"combines":[135],"representations":[138],"through":[139],"fully":[140],"connected":[141],"layers":[142],"generate":[144],"user":[145],"preference":[146],"embeddings":[147],"next-book":[149],"recommendation.":[150],"Extensive":[151],"experiments":[152],"conducted":[153],"two":[155,190],"real-world":[156],"university":[157],"datasets":[159],"demonstrate":[160],"superior":[162],"performance":[163],"proposed":[166],"compared":[169],"with":[170],"baseline":[171],"methods.":[172],"Specifically,":[173],"achieved":[176],"13.67%":[177],"15.75%":[179,183],"HR@1":[181],"12.90%":[185],"NDCG@1":[187],"across":[188],"datasets.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
