{"id":"https://openalex.org/W4403577339","doi":"https://doi.org/10.1145/3627673.3679553","title":"A Power Method to Alleviate Over-smoothing for Recommendation","display_name":"A Power Method to Alleviate Over-smoothing for Recommendation","publication_year":2024,"publication_date":"2024-10-20","ids":{"openalex":"https://openalex.org/W4403577339","doi":"https://doi.org/10.1145/3627673.3679553"},"language":"en","primary_location":{"id":"doi:10.1145/3627673.3679553","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627673.3679553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd 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":"https://openalex.org/A5009052597","display_name":"Peng Zhou","orcid":"https://orcid.org/0000-0001-7492-5004"},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Zhou","raw_affiliation_strings":["Shaanxi Normal University, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0001-7492-5004","affiliations":[{"raw_affiliation_string":"Shaanxi Normal University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I88830068"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029038162","display_name":"Yachao Cui","orcid":"https://orcid.org/0000-0002-8650-9013"},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yachao Cui","raw_affiliation_strings":["Shaanxi Normal University, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-8650-9013","affiliations":[{"raw_affiliation_string":"Shaanxi Normal University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I88830068"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073628146","display_name":"Han Cao","orcid":"https://orcid.org/0000-0001-6444-3503"},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Cao","raw_affiliation_strings":["Shaanxi Normal University, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0001-6444-3503","affiliations":[{"raw_affiliation_string":"Shaanxi Normal University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I88830068"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009052597"],"corresponding_institution_ids":["https://openalex.org/I88830068"],"apc_list":null,"apc_paid":null,"fwci":1.492,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.87354664,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3484","last_page":"3493"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9810000061988831,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.681793212890625},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6479983329772949},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.46952739357948303},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.06410300731658936}],"concepts":[{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.681793212890625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6479983329772949},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.46952739357948303},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.06410300731658936},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3627673.3679553","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627673.3679553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1971040550","https://openalex.org/W2140310134","https://openalex.org/W2508504774","https://openalex.org/W2908510526","https://openalex.org/W2945827670","https://openalex.org/W2964051675","https://openalex.org/W2990045899","https://openalex.org/W2998431760","https://openalex.org/W2998496395","https://openalex.org/W3045200674","https://openalex.org/W3100278010","https://openalex.org/W3156861396","https://openalex.org/W3211009588","https://openalex.org/W3211143493","https://openalex.org/W4297733535","https://openalex.org/W4306317072","https://openalex.org/W4309795480","https://openalex.org/W4320814985","https://openalex.org/W4321480075","https://openalex.org/W4321593910","https://openalex.org/W4367047431","https://openalex.org/W4392203343"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W1978572805","https://openalex.org/W2383807498","https://openalex.org/W1997992934","https://openalex.org/W1987225439","https://openalex.org/W4238188170","https://openalex.org/W2125114371","https://openalex.org/W2019977573"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"graph":[3],"convolution":[4],"networks":[5],"(GCNs)":[6],"have":[7,62],"been":[8],"widely":[9],"used":[10],"in":[11,30,104],"recommender":[12,26],"systems":[13,27],"due":[14],"to":[15,46,82,91],"high-order":[16],"node":[17],"information":[18],"propagation":[19],"and":[20,58,123],"aggregation":[21],"mechanisms.":[22],"However,":[23],"existing":[24],"GCN-based":[25],"drop":[28],"sharply":[29],"performance":[31],"as":[32],"the":[33,36,47,50,69,100,106,121,125],"depth":[34],"of":[35,52,68,102],"network":[37],"increases.":[38],"This":[39,116],"phenomenon":[40],"is":[41],"called":[42,114],"over-smoothing,":[43],"which":[44],"refers":[45],"fact":[48],"that":[49,76,87,134],"embeddings":[51],"all":[53],"nodes":[54],"become":[55],"more":[56],"similar":[57],"indistinguishable.":[59],"Previous":[60],"works":[61],"rarely":[63],"explored":[64],"over-smoothing":[65,126],"from":[66],"characteristics":[67],"recommendation":[70],"field.":[71],"Specifically,":[72],"we":[73,96],"found":[74],"experimentally":[75],"too":[77],"many":[78],"layers":[79],"can":[80,97,118,137],"lead":[81],"such":[83],"large":[84],"loss":[85,107],"values":[86],"they":[88],"are":[89],"difficult":[90],"decrease.":[92],"After":[93],"theoretical":[94],"analysis,":[95],"effectively":[98,119,138],"solve":[99],"problem":[101],"difficulty":[103],"decreasing":[105],"value":[108],"by":[109],"adding":[110],"only":[111],"a":[112],"hyperparameter,":[113],"\"power\".":[115],"hyperparameter":[117,136],"control":[120],"smoothness":[122],"alleviate":[124],"problem.":[127],"Experiments":[128],"on":[129],"four":[130],"public":[131],"datasets":[132],"demonstrate":[133],"this":[135],"improve":[139],"performance.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
