{"id":"https://openalex.org/W2473235395","doi":"https://doi.org/10.1145/2930238.2930293","title":"Effect of Different Implicit Social Networks on Recommending Research Papers","display_name":"Effect of Different Implicit Social Networks on Recommending Research Papers","publication_year":2016,"publication_date":"2016-07-12","ids":{"openalex":"https://openalex.org/W2473235395","doi":"https://doi.org/10.1145/2930238.2930293","mag":"2473235395"},"language":"en","primary_location":{"id":"doi:10.1145/2930238.2930293","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2930238.2930293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization","raw_type":"proceedings-article"},"type":"conference-paper","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/A5017748978","display_name":"Shaikhah Alotaibi","orcid":null},"institutions":[{"id":"https://openalex.org/I32625721","display_name":"University of Saskatchewan","ror":"https://ror.org/010x8gc63","country_code":"CA","type":"education","lineage":["https://openalex.org/I32625721"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Shaikhah Alotaibi","raw_affiliation_strings":["University of Saskatchewan, Saskatoon, SK, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Saskatchewan, Saskatoon, SK, Canada","institution_ids":["https://openalex.org/I32625721"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027882398","display_name":"Julita Vassileva","orcid":"https://orcid.org/0000-0001-5050-3106"},"institutions":[{"id":"https://openalex.org/I32625721","display_name":"University of Saskatchewan","ror":"https://ror.org/010x8gc63","country_code":"CA","type":"education","lineage":["https://openalex.org/I32625721"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Julita Vassileva","raw_affiliation_strings":["University of Saskatchewan, Saskatoon, SK, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Saskatchewan, Saskatoon, SK, Canada","institution_ids":["https://openalex.org/I32625721"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I32625721"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08842954,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"14","issue":null,"first_page":"217","last_page":"221"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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":1.0,"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/T11478","display_name":"Caching and Content Delivery","score":0.9905999898910522,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9873999953269958,"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/bookmarking","display_name":"Bookmarking","score":0.9680911898612976},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8032199144363403},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8023446202278137},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.7464503049850464},{"id":"https://openalex.org/keywords/audience-measurement","display_name":"Audience measurement","score":0.7364885210990906},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.6732445359230042},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.5249843001365662},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5222554802894592},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.44556793570518494},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.43846043944358826},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08517760038375854}],"concepts":[{"id":"https://openalex.org/C176504155","wikidata":"https://www.wikidata.org/wiki/Q4943254","display_name":"Bookmarking","level":2,"score":0.9680911898612976},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8032199144363403},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8023446202278137},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.7464503049850464},{"id":"https://openalex.org/C82307848","wikidata":"https://www.wikidata.org/wiki/Q847520","display_name":"Audience measurement","level":2,"score":0.7364885210990906},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.6732445359230042},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.5249843001365662},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5222554802894592},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.44556793570518494},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.43846043944358826},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08517760038375854},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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:10.1145/2930238.2930293","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2930238.2930293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization","raw_type":"proceedings-article"},{"id":"pmh:oai:ecommons.usask.ca:10388/7755","is_oa":false,"landing_page_url":"http://hdl.handle.net/10388/7755","pdf_url":null,"source":{"id":"https://openalex.org/S4377196608","display_name":"University Library - University of Saskatchewan (University of Saskatchewan)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32625721","host_organization_name":"University of Saskatchewan","host_organization_lineage":["https://openalex.org/I32625721"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G7365325078","display_name":"Personalized and Trusted Behaviour Change Technologies","funder_award_id":"rgpin-2016-05762","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W9413401","https://openalex.org/W87962160","https://openalex.org/W1515087027","https://openalex.org/W1804928435","https://openalex.org/W1965971975","https://openalex.org/W1971040550","https://openalex.org/W1980202081","https://openalex.org/W2002133173","https://openalex.org/W2024811782","https://openalex.org/W2039613841","https://openalex.org/W2085481706","https://openalex.org/W2094824036","https://openalex.org/W2116655493","https://openalex.org/W2119825970","https://openalex.org/W2133266261","https://openalex.org/W2142574815","https://openalex.org/W2147263408","https://openalex.org/W2168293469","https://openalex.org/W3012498035","https://openalex.org/W4298023835"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W1484355083","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W2170391450","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622"],"abstract_inverted_index":{"Combining":[0],"social":[1,38,59,77,92,112,125,140,153],"network":[2,126,150,169],"information":[3,158],"with":[4,151,163],"collaborative":[5,17],"filtering":[6,18],"recommendation":[7,34,50,101,105,118,130,172],"algorithms":[8,106],"has":[9,45],"successfully":[10],"reduced":[11],"some":[12],"of":[13,16,23,31,48,103,178],"the":[14,21,29,46,55,100,110,117,128,136,139,143,148,156,167],"drawbacks":[15],"and":[19,95,97,146,174],"increased":[20],"accuracy":[22,102,173],"recommendations.":[24],"However,":[25,166],"all":[26],"approaches":[27],"in":[28,58],"domain":[30],"research":[32],"paper":[33],"have":[35,42],"used":[36],"explicit":[37],"relations":[39,154],"that":[40,54,147],"users":[41,74],"initiated":[43],"which":[44,123],"problem":[47],"low":[49,164],"coverage.":[51,165],"We":[52,132],"argued":[53],"available":[56],"data":[57,108],"bookmarking":[60,82],"Web":[61],"sites":[62],"such":[63],"as":[64,114],"CiteULike":[65],"or":[66],"Mendeley":[67],"could":[68],"be":[69],"exploited":[70],"to":[71,116],"connect":[72],"similar":[73],"using":[75,107],"implicit":[76,91,124],"connections":[78],"based":[79],"on":[80],"their":[81],"behavior.":[83],"In":[84],"this":[85],"paper,":[86],"we":[87,98,121],"proposed":[88,111],"three":[89],"different":[90],"networks-readership,":[93],"co-readership,":[94],"tag-based":[96],"compared":[99],"several":[104],"from":[109],"networks":[113],"input":[115],"algorithms.":[119],"Then,":[120],"tested":[122],"provides":[127,155],"best":[129,144,157],"accuracy.":[131],"found":[133],"that,":[134],"for":[135,160],"most":[137],"part,":[138],"recommender":[141],"is":[142],"algorithm":[145],"readership":[149],"reciprocal":[152],"source":[159],"recommendations":[161],"but":[162],"co-readership":[168],"provide":[170],"good":[171],"better":[175],"user":[176],"coverage":[177],"recommendation.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}