{"id":"https://openalex.org/W2982646441","doi":"https://doi.org/10.1109/icnp.2019.8888084","title":"Intentionality-related Deep Learning Method in Web Prefetching","display_name":"Intentionality-related Deep Learning Method in Web Prefetching","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2982646441","doi":"https://doi.org/10.1109/icnp.2019.8888084","mag":"2982646441"},"language":"en","primary_location":{"id":"doi:10.1109/icnp.2019.8888084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnp.2019.8888084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 27th International Conference on Network Protocols (ICNP)","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/A5101627140","display_name":"Wenbo Zou","orcid":"https://orcid.org/0000-0002-9759-0291"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Wenbo Zou","raw_affiliation_strings":["Dept. of Computer Science and Engineering, Hanyang University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Hanyang University, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042133722","display_name":"Jiwoong Won","orcid":"https://orcid.org/0000-0002-2045-7636"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jiwoong Won","raw_affiliation_strings":["Dept. of Computer Science and Engineering, Hanyang University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Hanyang University, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018043661","display_name":"Jemin Ahn","orcid":null},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jemin Ahn","raw_affiliation_strings":["Dept. of Computer Science and Engineering, Hanyang University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Hanyang University, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014427808","display_name":"Kyungtae Kang","orcid":"https://orcid.org/0000-0002-6587-7044"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyungtae Kang","raw_affiliation_strings":["Dept. of Computer Science and Engineering, Hanyang University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Hanyang University, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101627140"],"corresponding_institution_ids":["https://openalex.org/I4575257"],"apc_list":null,"apc_paid":null,"fwci":1.061,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.79860938,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9993000030517578,"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":0.9993000030517578,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.996399998664856,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9940999746322632,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8706705570220947},{"id":"https://openalex.org/keywords/proxy","display_name":"Proxy (statistics)","score":0.6734637022018433},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.49457404017448425},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.45091113448143005},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39190539717674255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36130863428115845},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33816424012184143}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8706705570220947},{"id":"https://openalex.org/C2780148112","wikidata":"https://www.wikidata.org/wiki/Q1432581","display_name":"Proxy (statistics)","level":2,"score":0.6734637022018433},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.49457404017448425},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.45091113448143005},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39190539717674255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36130863428115845},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33816424012184143},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnp.2019.8888084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnp.2019.8888084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 27th International Conference on Network Protocols (ICNP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2135136477","https://openalex.org/W2296759342","https://openalex.org/W2998584138","https://openalex.org/W4285719527","https://openalex.org/W6697465411"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2028495302","https://openalex.org/W2183306018","https://openalex.org/W2549990292","https://openalex.org/W2345479200","https://openalex.org/W2951819827","https://openalex.org/W1598955744","https://openalex.org/W2849310602","https://openalex.org/W2002261065","https://openalex.org/W1513656766"],"abstract_inverted_index":{"Many":[0],"prediction":[1,78,91],"models":[2,28],"have":[3],"been":[4],"proposed":[5,105],"to":[6,47,155],"improve":[7],"the":[8,15,23,38,59,83,98,106,116,121,126,148,152],"effectiveness":[9],"of":[10,26,62,65,101,151],"web":[11],"prefetching":[12,49],"for":[13,68,140],"reducing":[14],"response":[16],"time":[17],"perceived":[18],"by":[19],"users":[20],"when":[21],"browsing":[22,102],"web.":[24],"Most":[25],"these":[27],"are":[29,35],"based":[30,96],"on":[31,97],"structure":[32],"learning":[33],"and":[34,55,120,145],"applied":[36],"at":[37],"client":[39],"side.":[40],"Currently,":[41],"considerable":[42],"attention":[43],"is":[44,52,93],"being":[45],"paid":[46],"proxy-based":[48],"because":[50],"it":[51],"more":[53,69,76,89],"effective":[54],"accurate":[56],"in":[57,82],"predicting":[58],"correlated":[60],"pages":[61],"many":[63],"websites":[64],"similar":[66],"interest":[67],"homogeneous":[70],"users.":[71],"Compared":[72],"with":[73,129],"client-based":[74],"prefetching,":[75],"complex":[77],"tasks":[79],"must":[80],"run":[81],"proxy,":[84],"which":[85,113],"implies":[86],"that":[87],"a":[88,135],"powerful":[90],"model":[92,123],"required.":[94],"Thus,":[95],"time-series":[99],"characteristics":[100],"records,":[103],"we":[104],"intentionality-related":[107],"long":[108],"short-term":[109],"memory":[110],"(Ir-LSTM)":[111],"model,":[112],"combines":[114],"both":[115],"Skip-Gram":[117],"embedding":[118],"method":[119],"LSTM":[122],"while":[124,161],"expanding":[125],"input":[127],"features":[128],"user":[130],"information.":[131],"We":[132],"also":[133],"propose":[134],"novel":[136],"dynamic":[137],"allocation":[138],"module":[139],"detecting":[141],"real-time":[142],"traffic":[143],"bursts":[144],"correspondingly":[146],"adjusting":[147],"correlation":[149],"coefficient":[150],"model's":[153],"output":[154],"achieve":[156],"higher":[157],"server-side":[158],"resource":[159],"utilization":[160],"fully":[162],"maximizing":[163],"hit":[164],"ratio.":[165]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
