{"id":"https://openalex.org/W4411551872","doi":"https://doi.org/10.1109/cscwd64889.2025.11033271","title":"MACRec: A Meta-learning Enhanced Model for Academic Collaborator Recommendation","display_name":"MACRec: A Meta-learning Enhanced Model for Academic Collaborator Recommendation","publication_year":2025,"publication_date":"2025-05-05","ids":{"openalex":"https://openalex.org/W4411551872","doi":"https://doi.org/10.1109/cscwd64889.2025.11033271"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd64889.2025.11033271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd64889.2025.11033271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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/A5026787386","display_name":"Haoyu Guo","orcid":"https://orcid.org/0000-0002-5109-329X"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haoyu Guo","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University,Suzhou,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University,Suzhou,China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102728193","display_name":"Jingya Zhou","orcid":"https://orcid.org/0000-0003-0721-7424"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingya Zhou","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University,Suzhou,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University,Suzhou,China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058691076","display_name":"Zhuoyang Liu","orcid":"https://orcid.org/0000-0002-4309-3839"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuoyang Liu","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University,Suzhou,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University,Suzhou,China","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026787386"],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23840007,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"978","last_page":"983"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.8932999968528748,"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":0.8932999968528748,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.8845000267028809,"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":0.8756999969482422,"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/computer-science","display_name":"Computer science","score":0.7230185270309448},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.42660921812057495},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.36874574422836304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3638256788253784},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12460175156593323},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.04400897026062012}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7230185270309448},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.42660921812057495},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.36874574422836304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3638256788253784},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12460175156593323},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.04400897026062012},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd64889.2025.11033271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd64889.2025.11033271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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":24,"referenced_works":["https://openalex.org/W42768238","https://openalex.org/W103340358","https://openalex.org/W2743104969","https://openalex.org/W2777715678","https://openalex.org/W2955624969","https://openalex.org/W2963878746","https://openalex.org/W2963919031","https://openalex.org/W2964983698","https://openalex.org/W2997896225","https://openalex.org/W3004507689","https://openalex.org/W3011643233","https://openalex.org/W3043239945","https://openalex.org/W3106777270","https://openalex.org/W3130673365","https://openalex.org/W3131021461","https://openalex.org/W3142845669","https://openalex.org/W3153108722","https://openalex.org/W4280647190","https://openalex.org/W4285386900","https://openalex.org/W4313367797","https://openalex.org/W4400490995","https://openalex.org/W6743755419","https://openalex.org/W6763049584","https://openalex.org/W6783596713"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Identifying":[0],"potential":[1],"academic":[2,28,59,62,71,93,103,114],"collaborators":[3,16],"has":[4],"become":[5],"increasingly":[6],"crucial":[7],"to":[8,41,80,97,126],"promote":[9],"scientific":[10],"development.":[11],"Existing":[12],"methods":[13,33],"of":[14],"recommending":[15],"primarily":[17],"focus":[18],"on":[19,57,139],"analyzing":[20],"publication":[21],"content":[22,26],"or":[23],"integrating":[24],"both":[25,75],"and":[27,77,95,109,119],"network":[29,104],"information.":[30],"However,":[31],"these":[32],"often":[34],"suffer":[35],"from":[36],"the":[37,70,82,106,134],"cold-start":[38,83],"problem":[39],"due":[40],"sparse":[42],"interaction":[43],"data":[44,76,94,107,132],"among":[45],"researchers.":[46],"To":[47],"this":[48],"end,":[49],"we":[50,110],"propose":[51],"a":[52,87],"novel":[53],"meta-learning":[54],"enhanced":[55],"model":[56,68,78,135],"heterogeneous":[58],"networks":[60],"for":[61,123],"collaborator":[63,72],"recommendation,":[64],"named":[65],"MACRec.":[66],"This":[67],"considers":[69],"recommendation":[73],"in":[74],"levels":[79],"address":[81],"problem.":[84],"We":[85],"introduce":[86],"multi-view":[88],"task":[89],"constructor":[90],"that":[91,116,144],"uses":[92],"meta-paths":[96],"capture":[98],"semantic":[99],"contexts":[100],"within":[101],"an":[102,113],"at":[105,133],"level,":[108],"also":[111],"include":[112],"meta-learner":[115],"performs":[117,146],"semantic-wise":[118],"task-wise":[120],"adaptations,":[121],"allowing":[122],"fast":[124],"adaptation":[125],"new":[127],"researcher":[128],"tasks":[129],"with":[130],"few":[131],"level.":[136],"Extensive":[137],"experiments":[138],"two":[140],"real-world":[141],"datasets":[142],"show":[143],"MACRec":[145],"significantly":[147],"better":[148],"than":[149],"state-of-the-art":[150],"baseline":[151],"methods.":[152]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}