{"id":"https://openalex.org/W3011978330","doi":"https://doi.org/10.1109/apcc47188.2019.9026481","title":"Why Simple Models Perform Well in Predicting Popularity for Caching?","display_name":"Why Simple Models Perform Well in Predicting Popularity for Caching?","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3011978330","doi":"https://doi.org/10.1109/apcc47188.2019.9026481","mag":"3011978330"},"language":"en","primary_location":{"id":"doi:10.1109/apcc47188.2019.9026481","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apcc47188.2019.9026481","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 25th Asia-Pacific Conference on Communications (APCC)","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/A5100621604","display_name":"Jiajun Wu","orcid":"https://orcid.org/0000-0002-2813-3249"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiajun Wu","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082950698","display_name":"Chenyang Yang","orcid":"https://orcid.org/0000-0003-0058-0765"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyang Yang","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100621604"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.3537,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65984321,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"7","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11478","display_name":"Caching and Content Delivery","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/popularity","display_name":"Popularity","score":0.9274369478225708},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8367138504981995},{"id":"https://openalex.org/keywords/movielens","display_name":"MovieLens","score":0.769477367401123},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.4946150481700897},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.452910453081131},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.4525472819805145},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4218546450138092},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42004355788230896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40865421295166016},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40159982442855835},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.15317460894584656},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10890364646911621},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.0796014666557312}],"concepts":[{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.9274369478225708},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8367138504981995},{"id":"https://openalex.org/C2776156558","wikidata":"https://www.wikidata.org/wiki/Q4353746","display_name":"MovieLens","level":4,"score":0.769477367401123},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.4946150481700897},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.452910453081131},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.4525472819805145},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4218546450138092},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42004355788230896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40865421295166016},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40159982442855835},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.15317460894584656},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10890364646911621},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.0796014666557312},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apcc47188.2019.9026481","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apcc47188.2019.9026481","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 25th Asia-Pacific Conference on Communications (APCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1512098439","https://openalex.org/W2037169571","https://openalex.org/W2042034885","https://openalex.org/W2137226992","https://openalex.org/W2155349113","https://openalex.org/W2156909104","https://openalex.org/W2330820318","https://openalex.org/W2415391790","https://openalex.org/W2519564973","https://openalex.org/W2771556079","https://openalex.org/W2790635750","https://openalex.org/W2897039430","https://openalex.org/W2899750976","https://openalex.org/W2911964244","https://openalex.org/W2916236867","https://openalex.org/W2943418633","https://openalex.org/W2955026632","https://openalex.org/W2962850461","https://openalex.org/W2963155944","https://openalex.org/W2963465792","https://openalex.org/W2964150361","https://openalex.org/W3125952634","https://openalex.org/W6843735874"],"related_works":["https://openalex.org/W2398491113","https://openalex.org/W4400199659","https://openalex.org/W4384919653","https://openalex.org/W2794657157","https://openalex.org/W2219888463","https://openalex.org/W2368605798","https://openalex.org/W1837700621","https://openalex.org/W2963583100","https://openalex.org/W2336784203","https://openalex.org/W2020181841"],"abstract_inverted_index":{"Predicting":[0],"file":[1,37],"popularity":[2,67,105,126,146],"is":[3],"an":[4],"important":[5],"task":[6],"for":[7,50,90,99,107],"proactive":[8],"caching,":[9],"which":[10],"has":[11],"been":[12,31,44],"shown":[13,45],"a":[14,87],"promising":[15],"way":[16],"to":[17,35,46,57,132],"support":[18,83],"the":[19,69,101,109,115,121,139,162,170],"explosive":[20],"increase":[21],"of":[22,72,104,161],"data":[23],"traffic.":[24],"Both":[25],"linear":[26,76,128,154],"and":[27,39,86,96,106,156],"non-linear":[28,135],"predictors":[29],"have":[30,43],"proposed":[32],"in":[33,64,169],"literature":[34],"predict":[36],"popularity,":[38],"shallow":[40],"neural":[41,79],"networks":[42],"achieve":[47],"good":[48],"performance":[49],"caching.":[51],"In":[52],"this":[53],"paper,":[54],"we":[55],"strive":[56],"explain":[58],"why":[59],"simple":[60],"models":[61,129,155],"perform":[62],"well":[63],"predicting":[65,91],"dynamic":[66],"with":[68,124,147,153,166],"historical":[70],"number":[71],"requests.":[73],"We":[74,93,112,137],"consider":[75],"regression,":[77,85],"deep":[78],"networks,":[80],"random":[81],"forest,":[82],"vector":[84],"persistence":[88],"model":[89],"popularity.":[92],"employ":[94],"MovieLens":[95],"Youku":[97],"datasets":[98],"analyzing":[100],"time-varying":[102],"pattern":[103],"evaluating":[108],"caching":[110,122],"performance.":[111],"show":[113],"that":[114,133,144,159],"cache":[116],"hit":[117],"ratios":[118],"achieved":[119],"by":[120,141],"policy":[123],"predicted":[125,152],"using":[127,134],"are":[130,165],"close":[131],"models.":[136],"interpret":[138],"observation":[140],"first":[142],"proving":[143],"deterministic":[145],"typical":[148],"profiles":[149,168],"can":[150],"be":[151],"then":[157],"showing":[158],"majority":[160],"popular":[163],"files":[164],"these":[167],"real":[171],"dataset.":[172]},"counts_by_year":[{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}