乐胖代购免代理版

{"id":"https://openalex.org/W3100479353","doi":"https://doi.org/10.1145/3331184.3331310","title":"Cleaned Similarity for Better Memory-Based Recommenders","display_name":"Cleaned Similarity for Better Memory-Based Recommenders","publication_year":2019,"publication_date":"2019-07-18","ids":{"openalex":"https://openalex.org/W3100479353","doi":"https://doi.org/10.1145/3331184.3331310","mag":"3100479353"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3331184.3331310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"proceedings-article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1905.07370","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015514291","display_name":"Farhan Khawar","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Farhan Khawar","raw_affiliation_strings":["The Hong Kong University of Science and Technology, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070840566","display_name":"Nevin L. Zhang","orcid":"https://orcid.org/0000-0002-4662-3217"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Nevin L. Zhang","raw_affiliation_strings":["The Hong Kong University of Science and Technology, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":5,"citation_normalized_percentile":{"value":0.909896,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":79,"max":81},"biblio":{"volume":null,"issue":null,"first_page":"1193","last_page":"1196"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender System Technologies","score":0.999,"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 System Technologies","score":0.999,"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/T10792","display_name":"Matrix Algorithms and Iterative Methods","score":0.9774,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":"Optimization of Multi-Armed Bandit Problems","score":0.9606,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.72058433},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.61975515},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative Filtering","score":0.571896},{"id":"https://openalex.org/keywords/trust-aware-recommender-systems","display_name":"Trust-Aware Recommender Systems","score":0.534658},{"id":"https://openalex.org/keywords/context-aware-recommender-systems","display_name":"Context-Aware Recommender Systems","score":0.534076},{"id":"https://openalex.org/keywords/eigenvalue-problems","display_name":"Eigenvalue Problems","score":0.533713},{"id":"https://openalex.org/keywords/content-based-recommendation","display_name":"Content-Based Recommendation","score":0.525707}],"concepts":[{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.730204},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.72058433},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6306325},{"id":"https://openalex.org/C64812099","wikidata":"https://www.wikidata.org/wiki/Q176604","display_name":"Random matrix","level":3,"score":0.6244409},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.61975515},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5397284},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.490172},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.484922},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.47963196},{"id":"https://openalex.org/C55078378","wikidata":"https://www.wikidata.org/wiki/Q1136628","display_name":"Pearson product-moment correlation coefficient","level":2,"score":0.47833633},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.45612422},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.4524081},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41315433},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39417455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3295449},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19155854},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3331184.3331310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1905.07370","pdf_url":"https://arxiv.org/pdf/1905.07370","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.1905.07370","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1905.07370","pdf_url":"https://arxiv.org/pdf/1905.07370","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":["https://openalex.org/W2945128686","https://openalex.org/W3100479353"],"referenced_works_count":4,"referenced_works":["https://openalex.org/W1812558952","https://openalex.org/W1987431925","https://openalex.org/W1999973986","https://openalex.org/W2746011824"],"related_works":["https://openalex.org/W4288376261","https://openalex.org/W4288350469","https://openalex.org/W3153713962","https://openalex.org/W2949233314","https://openalex.org/W2934566931","https://openalex.org/W2789574762","https://openalex.org/W2612202022","https://openalex.org/W2101854343","https://openalex.org/W2020422879","https://openalex.org/W1916685473"],"abstract_inverted_index":{"Memory-based":[0],"collaborative":[1],"filtering":[2],"methods":[3,25,122],"like":[4],"user":[5],"or":[6],"item":[7],"k-nearest":[8],"neighbors":[9],"(kNN)":[10],"are":[11],"a":[12,107],"simple":[13,108],"yet":[14],"effective":[15],"solution":[16],"to":[17,59,92,124],"the":[18,27,30,40,44,47,73,76,81,98,120],"recommendation":[19],"problem.":[20],"The":[21],"backbone":[22],"of":[23,29,43,84,119],"these":[24],"is":[26],"estimation":[28],"empirical":[31],"similarity":[32,49,78],"between":[33],"users/items.":[34],"In":[35],"this":[36,103],"paper,":[37],"we":[38,52],"analyze":[39],"spectral":[41],"properties":[42],"Pearson":[45,74],"and":[46,51,66,105,110],"cosine":[48,77],"estimators,":[50],"use":[53],"tools":[54],"from":[55,64],"random":[56],"matrix":[57],"theory":[58],"argue":[60,70],"that":[61],"they":[62],"suffer":[63],"noise":[65,111],"eigenvalues":[67],"spreading.":[68],"We":[69,101],"that,":[71],"unlike":[72],"correlation,":[75],"naturally":[79],"possesses":[80],"desirable":[82],"property":[83],"eigenvalue":[85],"shrinkage":[86],"for":[87],"large":[88],"eigenvalues.":[89,100],"However,":[90],"due":[91],"its":[93],"zero-mean":[94],"assumption,":[95],"it":[96],"overestimates":[97],"largest":[99],"quantify":[102],"overestimation":[104],"present":[106],"re-scaling":[109],"cleaning":[112],"scheme.":[113],"This":[114],"results":[115],"in":[116],"better":[117],"performance":[118],"memory-based":[121],"compared":[123],"their":[125],"vanilla":[126],"counterparts.":[127]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3100479353","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2024-11-17T23:39:48.556900","created_date":"2020-11-23"}