{"id":"https://openalex.org/W2767319120","doi":"https://doi.org/10.1145/3132847.3133085","title":"An Improved Test Collection and Baselines for Bibliographic Citation Recommendation","display_name":"An Improved Test Collection and Baselines for Bibliographic Citation Recommendation","publication_year":2017,"publication_date":"2017-11-06","ids":{"openalex":"https://openalex.org/W2767319120","doi":"https://doi.org/10.1145/3132847.3133085","mag":"2767319120"},"language":"en","primary_location":{"id":"doi:10.1145/3132847.3133085","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3133085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on Conference on Information and 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/A5000936680","display_name":"Dwaipayan Roy","orcid":"https://orcid.org/0000-0002-5962-5983"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Dwaipayan Roy","raw_affiliation_strings":["Indian Statistical Institute, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5000936680"],"corresponding_institution_ids":["https://openalex.org/I6498739"],"apc_list":null,"apc_paid":null,"fwci":2.4181,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.91598014,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2271","last_page":"2274"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9997000098228455,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9969000220298767,"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":0.8135315179824829},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7834530472755432},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.7098432183265686},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.697414755821228},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.634162425994873},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.5621138215065002},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.5590251088142395},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.47544431686401367},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4445649981498718},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3902990221977234},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3128269910812378},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12252750992774963},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06989085674285889}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8135315179824829},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7834530472755432},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.7098432183265686},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.697414755821228},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.634162425994873},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.5621138215065002},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.5590251088142395},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.47544431686401367},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4445649981498718},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3902990221977234},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3128269910812378},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12252750992774963},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06989085674285889},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3132847.3133085","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3133085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1015675232","https://openalex.org/W1690919088","https://openalex.org/W1948803646","https://openalex.org/W1978059262","https://openalex.org/W1989220366","https://openalex.org/W1995326326","https://openalex.org/W2062340319","https://openalex.org/W2073769235","https://openalex.org/W2088772104","https://openalex.org/W2116655493","https://openalex.org/W2122778642","https://openalex.org/W2123682292","https://openalex.org/W2124516956","https://openalex.org/W2163089586","https://openalex.org/W2168190036","https://openalex.org/W2253675773","https://openalex.org/W2572504498","https://openalex.org/W4236713675"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W1557905920","https://openalex.org/W2043093291","https://openalex.org/W3024364549"],"abstract_inverted_index":{"The":[0],"problem":[1],"of":[2,38,55,62,67,80,122],"recommending":[3],"bibliographic":[4],"citations":[5],"to":[6,24,102,107,118],"an":[7,12],"author":[8],"who":[9],"is":[10,84],"writing":[11],"article":[13],"has":[14,91],"been":[15],"well-studied.":[16],"However,":[17],"different":[18,22],"researchers":[19],"have":[20,29],"used":[21],"datasets":[23,44],"evaluate":[25],"proposed":[26],"techniques,":[27,128],"and":[28,87],"sometimes":[30],"reported":[31],"contradictory":[32],"findings":[33],"regarding":[34],"the":[35,60,114],"relative":[36],"effectiveness":[37],"various":[39],"approaches.":[40],"In":[41,95],"addition,":[42],"these":[43,109],"are":[45],"problematic":[46],"in":[47,53],"one":[48,64],"way":[49,101],"or":[50,57],"another":[51],"(e.g.,":[52],"terms":[54],"size":[56],"availability),":[58],"precluding":[59],"possibility":[61],"adopting":[63],"(or":[65],"some)":[66],"them":[68],"as":[69,129,131],"standard":[70],"benchmarks.":[71],"A":[72],"recently":[73],"created":[74],"test":[75,105,116],"collection":[76,106,117],"that":[77],"makes":[78],"use":[79,113],"data":[81],"from":[82],"CiteSeerx":[83],"large,":[85],"heterogenous,":[86],"publicly":[88],"available,":[89],"but":[90],"certain":[92],"other":[93],"limitations.":[94,110],"this":[96,104],"paper,":[97],"we":[98],"propose":[99],"a":[100,120],"modify":[103],"address":[108],"We":[111],"also":[112],"improved":[115],"establish":[119],"set":[121],"baseline":[123],"results":[124],"using":[125],"elementary":[126],"content-based":[127],"well":[130],"reference":[132],"directed":[133],"indexing.":[134]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}