{"id":"https://openalex.org/W7167896722","doi":"https://doi.org/10.1145/3805712.3808640","title":"Retrieve, Rerank, Answer, Experiment: Hands-On IR Research with PyTerrier","display_name":"Retrieve, Rerank, Answer, Experiment: Hands-On IR Research with PyTerrier","publication_year":2026,"publication_date":"2026-07-10","ids":{"openalex":"https://openalex.org/W7167896722","doi":"https://doi.org/10.1145/3805712.3808640"},"language":"en","primary_location":{"id":"doi:10.1145/3805712.3808640","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3808640","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 49th 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":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3805712.3808640","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057643560","display_name":"Craig Macdonald","orcid":"https://orcid.org/0000-0003-3143-279X"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Craig Macdonald","raw_affiliation_strings":["University of Glasgow, Glasgow, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0003-3143-279X","affiliations":[{"raw_affiliation_string":"University of Glasgow, Glasgow, United Kingdom","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014199889","display_name":"Sean MacAvaney","orcid":"https://orcid.org/0000-0002-8914-2659"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sean MacAvaney","raw_affiliation_strings":["University of Glasgow, Glasgow, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-8914-2659","affiliations":[{"raw_affiliation_string":"University of Glasgow, Glasgow, United Kingdom","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018894843","display_name":"Nicola Tonellotto","orcid":"https://orcid.org/0000-0002-7427-1001"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicola Tonellotto","raw_affiliation_strings":["University of Pisa, Pisa, Italy"],"raw_orcid":"https://orcid.org/0000-0002-7427-1001","affiliations":[{"raw_affiliation_string":"University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100411474","display_name":"Xiao Wang","orcid":"https://orcid.org/0000-0002-5151-2773"},"institutions":[{"id":"https://openalex.org/I146563203","display_name":"University of International Business and Economics","ror":"https://ror.org/05khqpb71","country_code":"CN","type":"education","lineage":["https://openalex.org/I146563203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Wang","raw_affiliation_strings":["University of International Business and Economics, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5151-2773","affiliations":[{"raw_affiliation_string":"University of International Business and Economics, Beijing, China","institution_ids":["https://openalex.org/I146563203"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5344","last_page":"5349"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.2565000057220459,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.2565000057220459,"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":0.14650000631809235,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.09149999916553497,"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/question-answering","display_name":"Question answering","score":0.4855000078678131},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.3991999924182892},{"id":"https://openalex.org/keywords/plug-in","display_name":"Plug-in","score":0.3296999931335449},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2903999984264374}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.66839998960495},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.4855000078678131},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41600000858306885},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.3991999924182892},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3864000141620636},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37720000743865967},{"id":"https://openalex.org/C4924752","wikidata":"https://www.wikidata.org/wiki/Q184148","display_name":"Plug-in","level":2,"score":0.3296999931335449},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2824000120162964},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.2759999930858612},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2549999952316284},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2549000084400177}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3805712.3808640","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3808640","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.gla.ac.uk:383308","is_oa":true,"landing_page_url":"https://eprints.gla.ac.uk/view/author/3545.html>","pdf_url":"https://eprints.gla.ac.uk/383308/2/383308.pdf","source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Proceedings"}],"best_oa_location":{"id":"doi:10.1145/3805712.3808640","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3808640","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320317295","display_name":"Dipartimenti di Eccellenza","ror":null},{"id":"https://openalex.org/F4320321106","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1845198550","https://openalex.org/W2070740689","https://openalex.org/W2096937925","https://openalex.org/W2148972377","https://openalex.org/W2740321901","https://openalex.org/W2963578677","https://openalex.org/W2975649594","https://openalex.org/W2998702515","https://openalex.org/W3021397474","https://openalex.org/W3021779606","https://openalex.org/W3044997488","https://openalex.org/W3045745713","https://openalex.org/W3154755316","https://openalex.org/W3156789018","https://openalex.org/W3175980629","https://openalex.org/W3180230246","https://openalex.org/W3209791570","https://openalex.org/W3210791897","https://openalex.org/W3217305727","https://openalex.org/W3217485291","https://openalex.org/W4284706395","https://openalex.org/W4292433389","https://openalex.org/W4296604478","https://openalex.org/W4306317212","https://openalex.org/W4327499170","https://openalex.org/W4384656680","https://openalex.org/W4385572770","https://openalex.org/W4389523765","https://openalex.org/W4396821195","https://openalex.org/W4400526199","https://openalex.org/W4400530380","https://openalex.org/W4412376877","https://openalex.org/W4412376925","https://openalex.org/W4412378011","https://openalex.org/W4412378030","https://openalex.org/W4412394904","https://openalex.org/W4412875477","https://openalex.org/W4412877209","https://openalex.org/W4414034800","https://openalex.org/W4417422257","https://openalex.org/W6910528035","https://openalex.org/W7140074832","https://openalex.org/W7140117406"],"related_works":[],"abstract_inverted_index":{"The":[0],"breadth":[1],"of":[2,19,64,79],"Information":[3],"Retrieval":[4],"(IR)":[5],"methods":[6,38,82],"has":[7,56],"expanded":[8],"substantially":[9],"in":[10,50,83],"the":[11,17,115],"past":[12],"ten":[13],"years,":[14],"especially":[15],"with":[16,48,104,114],"introduction":[18],"neural":[20],"networks,":[21],"pretrained":[22],"language":[23,27],"models,":[24],"and":[25,39,59,70],"large":[26],"models.":[28],"PyTerrier":[29,55,106],"was":[30],"introduced":[31],"to":[32,36,40,46,92,110],"provide":[33,41],"easy":[34],"access":[35],"these":[37],"\"glue\"":[42],"that":[43],"enables":[44],"researchers":[45],"experiment":[47],"them":[49],"combination.":[51],"Since":[52],"its":[53],"introduction,":[54],"both":[57],"evolved":[58],"spawned":[60],"a":[61,76],"growing":[62],"ecosystem":[63],"plugins":[65],"for":[66],"different":[67],"retrievers,":[68],"rerankers,":[69],"answer":[71,93],"generation.":[72,94],"This":[73],"tutorial":[74],"provides":[75],"hands-on":[77],"overview":[78],"using":[80],"prominent":[81],"IR":[84],"through":[85],"PyTerrier,":[86],"ranging":[87],"from":[88],"efficient":[89],"lexical":[90],"retrieval":[91],"Unlike":[95],"typical":[96],"tutorials,":[97],"this":[98],"one":[99],"intersperses":[100],"traditional":[101],"lecture-style":[102],"material":[103],"interactive":[105],"demonstrations,":[107],"enabling":[108],"participants":[109],"gain":[111],"practical":[112],"experience":[113],"methods.":[116],"https://pyterrier-tutorial.github.io/":[117]},"counts_by_year":[],"updated_date":"2026-07-25T15:57:00.446498","created_date":"2026-07-11T00:00:00"}