{"id":"https://openalex.org/W4384643624","doi":"https://doi.org/10.1145/3539618.3591823","title":"ranxhub: An Online Repository for Information Retrieval Runs","display_name":"ranxhub: An Online Repository for Information Retrieval Runs","publication_year":2023,"publication_date":"2023-07-18","ids":{"openalex":"https://openalex.org/W4384643624","doi":"https://doi.org/10.1145/3539618.3591823"},"language":"en","primary_location":{"id":"doi:10.1145/3539618.3591823","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539618.3591823","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","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/A5063789850","display_name":"Elias Bassani","orcid":"https://orcid.org/0000-0001-7922-2578"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Elias Bassani","raw_affiliation_strings":["University of Milano-Bicocca, Milan, Italy"],"raw_orcid":"https://orcid.org/0000-0001-7922-2578","affiliations":[{"raw_affiliation_string":"University of Milano-Bicocca, Milan, Italy","institution_ids":["https://openalex.org/I66752286"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5063789850"],"corresponding_institution_ids":["https://openalex.org/I66752286"],"apc_list":null,"apc_paid":null,"fwci":2.2584,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.89732269,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3210","last_page":"3214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9976000189781189,"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/T10260","display_name":"Software Engineering Research","score":0.9976000189781189,"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":0.9952999949455261,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.993399977684021,"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":0.8901999592781067},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7311384677886963},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.698116660118103},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.5385663509368896},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4501190781593323},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.41058340668678284},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.31898194551467896},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.14914041757583618}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8901999592781067},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7311384677886963},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.698116660118103},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.5385663509368896},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4501190781593323},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.41058340668678284},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.31898194551467896},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.14914041757583618}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3539618.3591823","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539618.3591823","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","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":13,"referenced_works":["https://openalex.org/W2022995284","https://openalex.org/W2951534261","https://openalex.org/W2981852735","https://openalex.org/W3037032032","https://openalex.org/W3150521056","https://openalex.org/W4206396334","https://openalex.org/W4225492354","https://openalex.org/W4225575967","https://openalex.org/W4284698816","https://openalex.org/W4284699573","https://openalex.org/W4288089799","https://openalex.org/W4306317038","https://openalex.org/W4306317389"],"related_works":["https://openalex.org/W2341492732","https://openalex.org/W3187193180","https://openalex.org/W106542691","https://openalex.org/W4287027380","https://openalex.org/W1699080303","https://openalex.org/W4297799326","https://openalex.org/W3116064965","https://openalex.org/W3193760048","https://openalex.org/W4285822516","https://openalex.org/W2551200859"],"abstract_inverted_index":{"ranxhub":[0,64,109,128],"is":[1],"an":[2,95],"online":[3,96],"repository":[4,97],"for":[5,21,31,48,98,126,133],"sharing":[6,22,99],"artifacts":[7],"deriving":[8],"from":[9],"the":[10,25,49,61,67,71,89,104,134],"evaluation":[11,50],"of":[12,28,35,53,63,73,81],"Information":[13,54],"Retrieval":[14,55],"systems.":[15],"Specifically,":[16],"we":[17,86,107,121],"provide":[18],"a":[19,32,38,45,78],"platform":[20],"pre-computed":[23],"runs:":[24],"ranked":[26],"lists":[27],"documents":[29],"retrieved":[30],"specific":[33],"set":[34],"queries":[36],"by":[37],"retrieval":[39],"model.":[40],"We":[41],"also":[42],"extend":[43],"ranx,":[44,114],"Python":[46],"library":[47],"and":[51,92,110],"comparison":[52],"runs,":[56],"adding":[57],"functionalities":[58],"to":[59,69,103],"integrate":[60],"usage":[62],"seamlessly,":[65],"allowing":[66],"user":[68],"compare":[70],"results":[72],"multiple":[74],"systems":[75],"in":[76],"just":[77],"few":[79],"lines":[80],"code.":[82],"In":[83],"this":[84],"paper,":[85],"first":[87],"outline":[88],"many":[90],"advantages":[91],"implications":[93],"that":[94],"runs":[100],"can":[101,129],"bring":[102],"table.":[105],"Then,":[106],"introduce":[108],"its":[111,116],"integration":[112],"with":[113],"showing":[115],"very":[117],"simple":[118],"usage.":[119],"Finally,":[120],"discuss":[122],"some":[123],"use":[124],"cases":[125],"which":[127],"be":[130],"highly":[131],"valuable":[132],"research":[135],"community.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}
