{"id":"https://openalex.org/W2138101053","doi":"https://doi.org/10.1145/2645710.2645726","title":"Cold-start news recommendation with domain-dependent browse graph","display_name":"Cold-start news recommendation with domain-dependent browse graph","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2138101053","doi":"https://doi.org/10.1145/2645710.2645726","mag":"2138101053"},"language":"en","primary_location":{"id":"doi:10.1145/2645710.2645726","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2645710.2645726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM Conference on Recommender systems","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/A5004946117","display_name":"Michele Trevisiol","orcid":null},"institutions":[{"id":"https://openalex.org/I170486558","display_name":"Pompeu Fabra University","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Michele Trevisiol","raw_affiliation_strings":["Universitat Pompeu Fabra &amp; Yahoo Labs, Barcelona, Spain","Universitat Pompeu Fabra & Yahoo Labs, Barcelona, Spain#TAB#"],"affiliations":[{"raw_affiliation_string":"Universitat Pompeu Fabra &amp; Yahoo Labs, Barcelona, Spain","institution_ids":["https://openalex.org/I170486558"]},{"raw_affiliation_string":"Universitat Pompeu Fabra & Yahoo Labs, Barcelona, Spain#TAB#","institution_ids":["https://openalex.org/I170486558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034406723","display_name":"Luca Maria Aiello","orcid":"https://orcid.org/0000-0002-0654-2527"},"institutions":[{"id":"https://openalex.org/I1325784139","display_name":"Yahoo (United Kingdom)","ror":"https://ror.org/038p3gq39","country_code":"GB","type":"company","lineage":["https://openalex.org/I1325784139","https://openalex.org/I4210134091"]},{"id":"https://openalex.org/I2800095910","display_name":"Yahoo (Spain)","ror":"https://ror.org/03gq8sg42","country_code":"ES","type":"company","lineage":["https://openalex.org/I2800095910","https://openalex.org/I4210134091"]}],"countries":["ES","GB"],"is_corresponding":false,"raw_author_name":"Luca Maria Aiello","raw_affiliation_strings":["Yahoo Labs, Barcelona, Spain",", Yahoo! Labs, Barcelona, Spain#TAB#"],"affiliations":[{"raw_affiliation_string":"Yahoo Labs, Barcelona, Spain","institution_ids":["https://openalex.org/I2800095910"]},{"raw_affiliation_string":", Yahoo! Labs, Barcelona, Spain#TAB#","institution_ids":["https://openalex.org/I1325784139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036258938","display_name":"Rossano Schifanella","orcid":"https://orcid.org/0000-0002-3745-5792"},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Rossano Schifanella","raw_affiliation_strings":["Universit\u00e0 degli Studi di Torino, Torino, Italy"],"affiliations":[{"raw_affiliation_string":"Universit\u00e0 degli Studi di Torino, Torino, Italy","institution_ids":["https://openalex.org/I55143463"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041492681","display_name":"Alejandro Jaimes","orcid":null},"institutions":[{"id":"https://openalex.org/I1325784139","display_name":"Yahoo (United Kingdom)","ror":"https://ror.org/038p3gq39","country_code":"GB","type":"company","lineage":["https://openalex.org/I1325784139","https://openalex.org/I4210134091"]},{"id":"https://openalex.org/I2800095910","display_name":"Yahoo (Spain)","ror":"https://ror.org/03gq8sg42","country_code":"ES","type":"company","lineage":["https://openalex.org/I2800095910","https://openalex.org/I4210134091"]}],"countries":["ES","GB"],"is_corresponding":false,"raw_author_name":"Alejandro Jaimes","raw_affiliation_strings":["Yahoo Labs, Barcelona, Spain",", Yahoo! Labs, Barcelona, Spain#TAB#"],"affiliations":[{"raw_affiliation_string":"Yahoo Labs, Barcelona, Spain","institution_ids":["https://openalex.org/I2800095910"]},{"raw_affiliation_string":", Yahoo! Labs, Barcelona, Spain#TAB#","institution_ids":["https://openalex.org/I1325784139"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004946117"],"corresponding_institution_ids":["https://openalex.org/I170486558"],"apc_list":null,"apc_paid":null,"fwci":13.0887,"has_fulltext":false,"cited_by_count":53,"citation_normalized_percentile":{"value":0.98436935,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"81","last_page":"88"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10028","display_name":"Topic Modeling","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"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9983000159263611,"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":0.818446159362793},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.6914420127868652},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.6426762342453003},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6060105562210083},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.5727580189704895},{"id":"https://openalex.org/keywords/cold-start","display_name":"Cold start (automotive)","score":0.5496090054512024},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5484873652458191},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4909708797931671},{"id":"https://openalex.org/keywords/social-graph","display_name":"Social graph","score":0.4279368817806244},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41974738240242004},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4095526337623596},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.32496780157089233},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.09853029251098633}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.818446159362793},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.6914420127868652},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.6426762342453003},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6060105562210083},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.5727580189704895},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.5496090054512024},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5484873652458191},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4909708797931671},{"id":"https://openalex.org/C2777522414","wikidata":"https://www.wikidata.org/wiki/Q648457","display_name":"Social graph","level":3,"score":0.4279368817806244},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41974738240242004},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4095526337623596},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.32496780157089233},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.09853029251098633},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2645710.2645726","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2645710.2645726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM Conference on Recommender systems","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.701.6206","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.701.6206","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.lajello.com/papers/recsys14.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G619511866","display_name":null,"funder_award_id":"contract no. 287975 (SocialSensor FP7 project)","funder_id":"https://openalex.org/F4320334960","funder_display_name":"Seventh Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320322930","display_name":"Ministerio de Ciencia e Innovaci\u00f3n","ror":"https://ror.org/034900433"},{"id":"https://openalex.org/F4320334960","display_name":"Seventh Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W32996897","https://openalex.org/W68106710","https://openalex.org/W117138969","https://openalex.org/W1530622307","https://openalex.org/W1538858180","https://openalex.org/W1978629413","https://openalex.org/W1987986834","https://openalex.org/W1995246960","https://openalex.org/W1995358441","https://openalex.org/W1997452128","https://openalex.org/W2059166475","https://openalex.org/W2099216531","https://openalex.org/W2102121847","https://openalex.org/W2110443819","https://openalex.org/W2112769706","https://openalex.org/W2115957413","https://openalex.org/W2121017700","https://openalex.org/W2122915790","https://openalex.org/W2123427850","https://openalex.org/W2125441033","https://openalex.org/W2131774730","https://openalex.org/W2135291269","https://openalex.org/W2135505871","https://openalex.org/W2145157418","https://openalex.org/W2153111836","https://openalex.org/W2155201359","https://openalex.org/W2171838961","https://openalex.org/W2185196794","https://openalex.org/W2283743478","https://openalex.org/W3103442714"],"related_works":["https://openalex.org/W2497939785","https://openalex.org/W2219931199","https://openalex.org/W2735929803","https://openalex.org/W4241927574","https://openalex.org/W2971083348","https://openalex.org/W3214288750","https://openalex.org/W584290403","https://openalex.org/W2786642545","https://openalex.org/W2084560547","https://openalex.org/W4315783862"],"abstract_inverted_index":{"Online":[0],"social":[1,35],"networks":[2],"and":[3,88,107,136,145,192],"mash-up":[4],"services":[5,12],"create":[6],"opportunities":[7],"to":[8,26,51,171,186],"connect":[9],"different":[10],"web":[11,38],"otherwise":[13],"isolated.":[14],"Specifically":[15],"in":[16,49,62,117,129,218],"the":[17,44,52,74,91,98,101,111,123,127,152,163,166,173,187,198,205,209],"case":[18],"of":[19,46,73,83,110,126,131,133,138,162,183,189,216,220],"news,":[20,47],"users":[21],"are":[22],"very":[23],"much":[24],"exposed":[25],"news":[27,118,148],"articles":[28],"while":[29],"performing":[30],"other":[31,56],"activities,":[32],"such":[33],"as":[34,93],"networking":[36],"or":[37],"searching.":[39],"Browsing":[40],"behavior":[41,116],"aimed":[42],"at":[43],"consumption":[45],"especially":[48],"relation":[50],"visits":[53],"coming":[54],"from":[55,79],"domains,":[57],"has":[58],"been":[59],"mainly":[60],"overlooked":[61],"previous":[63],"work.":[64],"To":[65],"address":[66],"that,":[67],"we":[68,89,169],"build":[69,141],"a":[70,80,147,156,160,213],"BrowseGraph":[71],"out":[72],"collective":[75],"browsing":[76,115],"traces":[77],"extracted":[78],"large":[81],"viewlog":[82],"Yahoo":[84],"News":[85],"(0.5B":[86],"entries),":[87],"define":[90],"ReferrerGraph":[92],"its":[94],"subgraph":[95],"induced":[96],"by":[97],"sessions":[99],"with":[100],"same":[102],"referrer":[103,124,206],"domain.":[104],"The":[105],"structural":[106],"temporal":[108],"properties":[109],"graph":[112],"show":[113,196],"that":[114,150,197,201],"is":[119,208],"highly":[120],"dependent":[121],"on":[122,142,159],"URL":[125,207],"session,":[128],"terms":[130],"type":[132],"content":[134],"consumed":[135],"time":[137],"consumption.":[139],"We":[140,179,195],"this":[143],"observation":[144],"propose":[146],"recommender":[149,200],"addresses":[151],"cold-start":[153],"problem:":[154],"given":[155],"user":[157],"landing":[158],"page":[161,174],"site":[164],"for":[165],"first":[167],"time,":[168],"aim":[170],"predict":[172],"she":[175],"will":[176],"visit":[177],"next.":[178],"compare":[180],"24":[181],"flavors":[182],"recommenders":[184],"belonging":[185],"families":[188],"content-based,":[190],"popularity-based,":[191],"browsing-based":[193,199],"models.":[194],"takes":[202],"into":[203],"account":[204],"best":[210],"performing,":[211],"achieving":[212],"prediction":[214],"accuracy":[215],"48%":[217],"conditions":[219],"heavy":[221],"data":[222],"sparsity.":[223]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":7}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
