{"id":"https://openalex.org/W2017591847","doi":"https://doi.org/10.1145/2365952.2366004","title":"Recommending academic papers via users' reading purposes","display_name":"Recommending academic papers via users' reading purposes","publication_year":2012,"publication_date":"2012-09-09","ids":{"openalex":"https://openalex.org/W2017591847","doi":"https://doi.org/10.1145/2365952.2366004","mag":"2017591847"},"language":"en","primary_location":{"id":"doi:10.1145/2365952.2366004","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2365952.2366004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the sixth 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/A5101705761","display_name":"Yichen Jiang","orcid":"https://orcid.org/0000-0002-9139-3799"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yichen Jiang","raw_affiliation_strings":["Peking University, Beijing, China","Peking University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028949837","display_name":"Aixia Jia","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aixia Jia","raw_affiliation_strings":["Peking University, Beijing, China","Peking University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102220317","display_name":"Yansong Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yansong Feng","raw_affiliation_strings":["Peking University, Beijing, China","Peking University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037132097","display_name":"Dongyan Zhao","orcid":"https://orcid.org/0000-0002-0396-6703"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyan Zhao","raw_affiliation_strings":["Peking University, Beijing, China","Peking University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101705761"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":10.2448,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.97780081,"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":"241","last_page":"244"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.998199999332428,"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":0.8551850318908691},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.7181233763694763},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.713851809501648},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6531078815460205},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.613500714302063},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5944533348083496},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.592073380947113},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.5448541045188904},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46255460381507874},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.41156095266342163},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3721737861633301},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2613592743873596},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.16477566957473755}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8551850318908691},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.7181233763694763},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.713851809501648},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6531078815460205},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.613500714302063},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5944533348083496},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.592073380947113},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.5448541045188904},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46255460381507874},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.41156095266342163},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3721737861633301},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2613592743873596},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.16477566957473755},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2365952.2366004","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2365952.2366004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the sixth ACM conference on Recommender systems","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.465.9950","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.465.9950","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://wanlab.poly.edu/recsys12/recsys/p241.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8899999856948853,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W8870360","https://openalex.org/W1522803764","https://openalex.org/W1582433178","https://openalex.org/W1582602467","https://openalex.org/W1804928435","https://openalex.org/W1880262756","https://openalex.org/W1966553486","https://openalex.org/W2022322548","https://openalex.org/W2043403353","https://openalex.org/W2124029832","https://openalex.org/W2141763599","https://openalex.org/W2171960770","https://openalex.org/W6600367688"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2968745142","https://openalex.org/W2809363009","https://openalex.org/W2348159088","https://openalex.org/W2161485269","https://openalex.org/W1984733048","https://openalex.org/W1730245467","https://openalex.org/W4206478093","https://openalex.org/W4385567163","https://openalex.org/W2002418671"],"abstract_inverted_index":{"The":[0],"past":[1],"decades":[2],"have":[3,26],"witnessed":[4],"the":[5,72,76,91,107,121,126,135],"rapid":[6],"development":[7],"of":[8,17,68,115],"academic":[9],"research,":[10],"which":[11],"results":[12],"in":[13,39],"a":[14,21,69,102,113,139,150,163],"growing":[15],"number":[16],"scholarly":[18],"papers.":[19,35,118],"As":[20],"result,":[22],"paper":[23,40,108,137,153,173],"recommender":[24],"systems":[25],"been":[27],"proposed":[28,77],"to":[29,65,84,98,111,176],"help":[30],"researchers":[31],"find":[32],"their":[33],"interested":[34],"Most":[36],"previous":[37],"studies":[38],"recommendations":[41,174],"mainly":[42],"concentrate":[43],"on":[44,149],"paper-paper":[45],"or":[46,75,95],"user-paper":[47],"similar-ities":[48],"without":[49],"taking":[50],"users":[51,62,99],"\u2019":[52],"reading":[53,87,178],"purposes":[54,88,179],"into":[55],"account.":[56],"It":[57],"is":[58],"common":[59],"that":[60,159],"different":[61,66,177],"may":[63],"prefer":[64],"aspects":[67],"paper,":[70,81,104],"e.g.,":[71],"focused":[73],"problem/task":[74],"solution.":[78],"In":[79],"this":[80],"we":[82,105,124],"propose":[83],"satisfy":[85],"user-specific":[86],"by":[89],"recommending":[90],"most":[92],"problem-related":[93],"papers":[94,97],"solution-related":[96],"separately.":[100],"For":[101],"target":[103,136],"use":[106],"citation":[109],"graph":[110],"generate":[112],"set":[114],"potential":[116],"relevant":[117,172],"Once":[119],"getting":[120],"candidate":[122],"set,":[123],"calculate":[125],"problem-based":[127],"similarities":[128,131],"and":[129,134,155,168],"solution-based":[130],"between":[132],"candi-dates":[133],"through":[138],"concept":[140],"based":[141,166],"topic":[142],"model,":[143],"respectively.":[144],"We":[145],"evaluate":[146],"our":[147,156,160],"models":[148],"real":[151],"aca-demic":[152],"dataset":[154],"experiments":[157],"show":[158],"ap-proach":[161],"outperforms":[162],"traditional":[164],"similarity":[165],"model":[167],"can":[169],"provide":[170],"highly":[171],"accord-ing":[175],"for":[180],"researchers.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}