{"id":"https://openalex.org/W4416017039","doi":"https://doi.org/10.1145/3746252.3761258","title":"Collaborative Interest Mining Network for Knowledge Graph-based Recommendation","display_name":"Collaborative Interest Mining Network for Knowledge Graph-based Recommendation","publication_year":2025,"publication_date":"2025-11-07","ids":{"openalex":"https://openalex.org/W4416017039","doi":"https://doi.org/10.1145/3746252.3761258"},"language":null,"primary_location":{"id":"doi:10.1145/3746252.3761258","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746252.3761258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","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":null,"display_name":"Jie Luo","orcid":"https://orcid.org/0009-0008-8080-0927"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Luo","raw_affiliation_strings":["School of Computer, Electronics and Information, Guangxi University, Nanning, China"],"raw_orcid":"https://orcid.org/0009-0008-8080-0927","affiliations":[{"raw_affiliation_string":"School of Computer, Electronics and Information, Guangxi University, Nanning, China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108462364","display_name":"Ying Pan","orcid":"https://orcid.org/0009-0000-5139-9603"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Pan","raw_affiliation_strings":["Information Network Center, Guangxi University, Nanning, China"],"raw_orcid":"https://orcid.org/0009-0000-5139-9603","affiliations":[{"raw_affiliation_string":"Information Network Center, Guangxi University, Nanning, China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113809314","display_name":"Guoliang Huang","orcid":"https://orcid.org/0009-0004-3514-4909"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoliang Huang","raw_affiliation_strings":["School of Computer, Electronics and Information, Guangxi University, Nanning, China"],"raw_orcid":"https://orcid.org/0009-0004-3514-4909","affiliations":[{"raw_affiliation_string":"School of Computer, Electronics and Information, Guangxi University, Nanning, China","institution_ids":["https://openalex.org/I150807315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150807315"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.45525845,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2000","last_page":"2010"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.8823999762535095,"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":0.8823999762535095,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.07289999723434448,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.006200000178068876,"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/collaborative-filtering","display_name":"Collaborative filtering","score":0.6434999704360962},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6186000108718872},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.516700029373169},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.47699999809265137},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47589999437332153},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.47450000047683716},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4156000018119812},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.39579999446868896},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.3808000087738037},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.3643999993801117}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8080999851226807},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.6434999704360962},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6186000108718872},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.516700029373169},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4810999929904938},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.47699999809265137},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47589999437332153},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.47450000047683716},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4156000018119812},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.39579999446868896},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.3808000087738037},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.3643999993801117},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.35260000824928284},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3495999872684479},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.3483000099658966},{"id":"https://openalex.org/C138020889","wikidata":"https://www.wikidata.org/wiki/Q2349659","display_name":"Collaborative learning","level":2,"score":0.33899998664855957},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3386000096797943},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.3319000005722046},{"id":"https://openalex.org/C69075417","wikidata":"https://www.wikidata.org/wiki/Q515701","display_name":"Linked data","level":3,"score":0.3280999958515167},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.31540000438690186},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3125999867916107},{"id":"https://openalex.org/C2776475305","wikidata":"https://www.wikidata.org/wiki/Q29627","display_name":"Public interest","level":2,"score":0.29910001158714294},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2962999939918518},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2718000113964081},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.265500009059906},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C12516257","wikidata":"https://www.wikidata.org/wiki/Q2504350","display_name":"Special Interest Group","level":2,"score":0.25679999589920044},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746252.3761258","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746252.3761258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5215962238","display_name":null,"funder_award_id":"U23A202226","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1981886741","https://openalex.org/W2010187764","https://openalex.org/W2509893387","https://openalex.org/W2605350416","https://openalex.org/W2792839191","https://openalex.org/W2793768763","https://openalex.org/W2911778742","https://openalex.org/W2913560138","https://openalex.org/W2945623882","https://openalex.org/W2945827670","https://openalex.org/W2963911286","https://openalex.org/W2966349618","https://openalex.org/W3034894152","https://openalex.org/W3045200674","https://openalex.org/W3129482887","https://openalex.org/W3155496675","https://openalex.org/W3179424508","https://openalex.org/W4214630692","https://openalex.org/W4220770035","https://openalex.org/W4224914537","https://openalex.org/W4225412853","https://openalex.org/W4286986033","https://openalex.org/W4292833715","https://openalex.org/W4292950683","https://openalex.org/W4308308126","https://openalex.org/W4311089153","https://openalex.org/W4366607195","https://openalex.org/W4367628378","https://openalex.org/W4379878972","https://openalex.org/W4383604692","https://openalex.org/W4385566358","https://openalex.org/W4385778235","https://openalex.org/W4386495823","https://openalex.org/W4388294554","https://openalex.org/W4390278281","https://openalex.org/W4391248406","https://openalex.org/W4392948282","https://openalex.org/W4394935158","https://openalex.org/W4396220739","https://openalex.org/W4396921188","https://openalex.org/W4400849599"],"related_works":[],"abstract_inverted_index":{"Knowledge":[0,54],"graphs":[1,34],"contain":[2],"rich":[3],"semantic":[4],"information":[5,139],"and":[6,27,98,111,135],"have":[7],"been":[8],"widely":[9],"applied":[10],"in":[11,35],"recommender":[12],"systems.":[13],"However,":[14],"most":[15],"existing":[16],"knowledge":[17,33,61],"graph-based":[18],"recommendation":[19,46],"methods":[20],"primarily":[21],"focus":[22],"on":[23,129,161],"modeling":[24],"item-side":[25],"semantics":[26],"overlook":[28],"the":[29,60,69,75,80,117,130,153],"critical":[30],"role":[31],"of":[32,82,155],"enhancing":[36,79],"user":[37,83],"representations.":[38],"In":[39],"this":[40],"work,":[41],"we":[42,145],"propose":[43],"a":[44,89],"novel":[45],"model":[47],"called":[48],"Collaborative":[49,119],"Interest":[50,120],"Mining":[51,121],"Network":[52],"for":[53],"Graph-based":[55],"Recommendation":[56],"(CIMNK),":[57],"which":[58,124],"leverages":[59],"graph":[62,91,126,132],"to":[63,104,133,151],"mine":[64,134],"collaborative":[65,137,156],"interest":[66,112,138,157],"similarity":[67,70],"(i.e.,":[68],"between":[71,100,109],"users":[72,110],"who":[73],"share":[74],"same":[76],"interests),":[77],"thereby":[78],"quality":[81],"embeddings.":[84],"Specifically,":[85],"CIMNK":[86,115,168],"first":[87],"constructs":[88],"user-interest":[90,131],"by":[92],"performing":[93],"fine-grained":[94],"filtering":[95],"over":[96],"entities":[97],"distinguishing":[99],"different":[101,141],"relation":[102,142],"types,":[103],"explicitly":[105],"represent":[106],"direct":[107],"associations":[108],"entities.":[113],"Subsequently,":[114],"introduces":[116],"Relation-aware":[118],"Module":[122],"(RCIM),":[123],"conducts":[125],"representation":[127],"learning":[128,154],"integrate":[136],"across":[140],"types.":[143],"Finally,":[144],"design":[146],"an":[147],"interest-aware":[148],"loss":[149],"function":[150],"supervise":[152],"similarity.":[158],"Extensive":[159],"experiments":[160],"three":[162],"public":[163],"benchmark":[164],"datasets":[165],"demonstrate":[166],"that":[167],"outperforms":[169],"state-of-the-art":[170],"methods.":[171],"The":[172],"implementations":[173],"are":[174],"available":[175],"at:":[176],"https://github.com/JieLuoRoger/CIMNK-Pytorch.":[177]},"counts_by_year":[],"updated_date":"2025-11-08T23:25:12.792448","created_date":"2025-11-08T00:00:00"}