{"id":"https://openalex.org/W2097554513","doi":"https://doi.org/10.1145/2505515.2505586","title":"Estimating the relative utility of networks for predicting user activities","display_name":"Estimating the relative utility of networks for predicting user activities","publication_year":2013,"publication_date":"2013-10-27","ids":{"openalex":"https://openalex.org/W2097554513","doi":"https://doi.org/10.1145/2505515.2505586","mag":"2097554513"},"language":"en","primary_location":{"id":"doi:10.1145/2505515.2505586","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2505515.2505586","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM international conference on Information & 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/A5103852552","display_name":"Nina Mishra","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nina Mishra","raw_affiliation_strings":["Microsoft Research, Mountain View, CA, USA","Microsoft Research, Mountain View, CA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft Research, Mountain View, CA, USA#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064158757","display_name":"Daniel M. Romero","orcid":"https://orcid.org/0000-0002-8351-3463"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel M. Romero","raw_affiliation_strings":["Northwestern University, Evanston, IL, USA","Northwestern University; Evanston IL USA"],"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"Northwestern University; Evanston IL USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066962453","display_name":"Panayiotis Tsaparas","orcid":"https://orcid.org/0000-0002-3490-1507"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Panayiotis Tsaparas","raw_affiliation_strings":["University of Ioannina, Ioannina, Greece","University of Ioannina, Ioannina, Greece;"],"affiliations":[{"raw_affiliation_string":"University of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]},{"raw_affiliation_string":"University of Ioannina, Ioannina, Greece;","institution_ids":["https://openalex.org/I194019607"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103852552"],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":0.4985,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.67686139,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1047","last_page":"1056"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9993000030517578,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9986000061035156,"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":0.7877617478370667},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.7774307131767273},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.7425761222839355},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6016589403152466},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5846757888793945},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.5089263916015625},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3747904896736145},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3604549765586853},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34670114517211914},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3443739116191864},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3242088556289673},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.2658259868621826},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.24990978837013245},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.103555828332901}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7877617478370667},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7774307131767273},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.7425761222839355},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6016589403152466},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5846757888793945},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.5089263916015625},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3747904896736145},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3604549765586853},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34670114517211914},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3443739116191864},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3242088556289673},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.2658259868621826},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.24990978837013245},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.103555828332901},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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":2,"locations":[{"id":"doi:10.1145/2505515.2505586","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2505515.2505586","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM international conference on Information & Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.709.4743","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.709.4743","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.uoi.gr/%7Etsap/publications/km1264-mishra.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1966553486","https://openalex.org/W1970874697","https://openalex.org/W1995629273","https://openalex.org/W2020488968","https://openalex.org/W2042281163","https://openalex.org/W2045623532","https://openalex.org/W2049607688","https://openalex.org/W2063098598","https://openalex.org/W2116030947","https://openalex.org/W2128891547","https://openalex.org/W2130354913","https://openalex.org/W2141667528","https://openalex.org/W2144215705","https://openalex.org/W2144487656","https://openalex.org/W2145523428","https://openalex.org/W2149910108","https://openalex.org/W2152284345","https://openalex.org/W2157085604","https://openalex.org/W2159094788","https://openalex.org/W2161116977","https://openalex.org/W2166692930","https://openalex.org/W2167827540","https://openalex.org/W2171806843","https://openalex.org/W2341865734","https://openalex.org/W2912647241","https://openalex.org/W2962683462","https://openalex.org/W2996402732","https://openalex.org/W3099386891","https://openalex.org/W3122458291","https://openalex.org/W3124798963","https://openalex.org/W4285719527","https://openalex.org/W4298013486","https://openalex.org/W6638312147","https://openalex.org/W6683229209"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2020521331","https://openalex.org/W101162712","https://openalex.org/W4256618828","https://openalex.org/W2786691313"],"abstract_inverted_index":{"Link":[0],"structure":[1],"in":[2,79,165],"online":[3,26],"networks":[4,27,84,135,159,178,181],"carries":[5],"varying":[6],"semantics.":[7,20],"For":[8],"example,":[9],"Facebook":[10,167],"links":[11,17],"carry":[12,18],"social":[13,130],"semantics":[14],"while":[15],"LinkedIn":[16],"professional":[19],"It":[21],"has":[22],"been":[23],"shown":[24],"that":[25,67,98,103,127,188],"are":[28,85,138,143,182],"useful":[29,184],"for":[30,59,185,205],"predicting":[31,60],"users'":[32,146],"future":[33],"activities.":[34],"In":[35],"this":[36],"paper,":[37],"we":[38,51,112,136],"introduce":[39],"a":[40,45,65,80,101,128,206],"new":[41],"related":[42],"problem:":[43],"given":[44],"collection":[46],"of":[47,56,76,119,176,194,197,202,210],"networks,":[48,141],"how":[49],"can":[50],"determine":[52],"the":[53,72,94,108,117,154,166],"relative":[54,73,174],"importance":[55],"each":[57,77,200],"network":[58,78,131,191],"user":[61],"activities?":[62],"We":[63,87,156],"propose":[64],"framework":[66],"allows":[68],"us":[69],"to":[70,92,107,163],"quantify":[71],"predictive":[74,193],"value":[75],"setting":[81],"where":[82,122],"multiple":[83],"available.":[86],"give":[88],"an":[89],"\u025b-net":[90],"algorithm":[91],"solve":[93],"problem":[95],"and":[96,169],"prove":[97],"it":[99,123],"finds":[100],"solution":[102],"is":[104,124,192],"arbitrarily":[105],"close":[106],"optimal":[109],"solution.":[110],"Experimentally,":[111],"focus":[113],"our":[114],"study":[115,137],"on":[116,145,161],"prediction":[118],"ad":[120],"clicks,":[121],"already":[125],"known":[126],"single":[129,190],"improves":[132],"prediction.":[133],"The":[134,172],"implicit":[139],"affiliations":[140],"which":[142],"based":[144,160],"browsing":[147],"history":[148],"rather":[149],"than":[150],"declared":[151],"relationships":[152],"between":[153],"users.":[155],"create":[157],"two":[158],"covisitation":[162,180],"pages":[164],"domain":[168],"Wikipedia":[170],"domain.":[171],"learned":[173],"weighting":[175,209],"these":[177,211],"demonstrates":[179],"indeed":[183],"prediction,":[186],"but":[187],"no":[189],"all":[195],"kinds":[196],"ads.":[198],"Rather,":[199],"category":[201],"ads":[203],"calls":[204],"significantly":[207],"different":[208],"networks.":[212]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}