{"id":"https://openalex.org/W7029150332","doi":null,"title":"Improving Information Retrieval and Recommender Systems with Contextual Data and Re-Ranking","display_name":"Improving Information Retrieval and Recommender Systems with Contextual Data and Re-Ranking","publication_year":2024,"publication_date":"2024-12-01","ids":{"openalex":"https://openalex.org/W7029150332"},"language":"fr","primary_location":{"id":"pmh:oai:publications.polymtl.ca:61634","doi":null,"is_oa":true,"landing_page_url":"https://publications.polymtl.ca/61634/","pdf_url":"https://publications.polymtl.ca/61634/1/2024_BaharanNouriinanloo.pdf","source":{"id":"https://openalex.org/S4306401013","display_name":"PolyPublie (\u00c9cole Polytechnique de Montr\u00e9al)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I45683168","host_organization_name":"Polytechnique Montr\u00e9al","host_organization_lineage":["https://openalex.org/I45683168"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Nouriinanloo, B. (2024). Improving Information Retrieval and Recommender Systems with Contextual Data and Re-Ranking [Master's thesis, Polytechnique Montr\u00e9al].","raw_type":"m\u00e9moire de ma\u00eetrise"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://publications.polymtl.ca/61634/1/2024_BaharanNouriinanloo.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5099670419","display_name":"Baharan Nouriinanloo","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Nouriinanloo, Baharan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5099670419"],"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.8871999979019165,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.8871999979019165,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.11020000278949738,"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":0.000699999975040555,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/information-retrieval","display_name":"information retrieval","score":0.7490000128746033},{"id":"https://openalex.org/keywords/recommender-systems","display_name":"recommender systems","score":0.9959999918937683},{"id":"https://openalex.org/keywords/explainable-recommendation","display_name":"explainable recommendation","score":0.8450000286102295},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.9279999732971191},{"id":"https://openalex.org/keywords/re-ranking","display_name":"re-ranking","score":0.8510000109672546},{"id":"https://openalex.org/keywords/listwise-reranking","display_name":"listwise reranking","score":0.6759999990463257},{"id":"https://openalex.org/keywords/contextual-information","display_name":"contextual information","score":0.5220000147819519},{"id":"https://openalex.org/keywords/user-satisfaction","display_name":"user satisfaction","score":0.328000009059906},{"id":"https://openalex.org/keywords/relevance-scoring","display_name":"relevance scoring","score":0.3790000081062317},{"id":"https://openalex.org/keywords/user-trust","display_name":"user trust","score":0.33500000834465027},{"id":"https://openalex.org/keywords/user-engagement","display_name":"user engagement","score":0.3319999873638153},{"id":"https://openalex.org/keywords/user-retention","display_name":"user retention","score":0.3630000054836273}],"concepts":[{"id":"https://openalex.org/C15708023","wikidata":"https://www.wikidata.org/wiki/Q80083","display_name":"Humanities","level":1,"score":0.5939000248908997},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.4616999924182892},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.37459999322891235},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.27810001373291016},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.2651999890804291},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.2434999942779541},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.21449999511241913},{"id":"https://openalex.org/C95831776","wikidata":"https://www.wikidata.org/wiki/Q16387","display_name":"Information science","level":2,"score":0.21140000224113464},{"id":"https://openalex.org/C2989070954","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database query","level":2,"score":0.20409999787807465},{"id":"https://openalex.org/C61997241","wikidata":"https://www.wikidata.org/wiki/Q5038874","display_name":"Care perspective","level":3,"score":0.179299995303154},{"id":"https://openalex.org/C3017893058","wikidata":"https://www.wikidata.org/wiki/Q999278","display_name":"User satisfaction","level":2,"score":0.17710000276565552},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.16349999606609344},{"id":"https://openalex.org/C2985829316","wikidata":"https://www.wikidata.org/wiki/Q26084","display_name":"Access to information","level":3,"score":0.14470000565052032},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.14259999990463257},{"id":"https://openalex.org/C2549261","wikidata":"https://www.wikidata.org/wiki/Q43455","display_name":"Ethnology","level":1,"score":0.14239999651908875},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.13920000195503235},{"id":"https://openalex.org/C2992000405","wikidata":"https://www.wikidata.org/wiki/Q1231428","display_name":"Persuasive communication","level":3,"score":0.1225999966263771},{"id":"https://openalex.org/C161156560","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Document retrieval","level":2,"score":0.12020000070333481},{"id":"https://openalex.org/C2986817661","wikidata":"https://www.wikidata.org/wiki/Q185698","display_name":"Research methodology","level":3,"score":0.11720000207424164},{"id":"https://openalex.org/C2987946170","wikidata":"https://www.wikidata.org/wiki/Q853725","display_name":"Social relationship","level":2,"score":0.11640000343322754},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.11479999870061874},{"id":"https://openalex.org/C2983685735","wikidata":"https://www.wikidata.org/wiki/Q5227355","display_name":"Data source","level":2,"score":0.11299999803304672},{"id":"https://openalex.org/C3017942907","wikidata":"https://www.wikidata.org/wiki/Q16797616","display_name":"Information resource","level":2,"score":0.11249999701976776},{"id":"https://openalex.org/C128487930","wikidata":"https://www.wikidata.org/wiki/Q579488","display_name":"Information management","level":2,"score":0.11249999701976776},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.10540000349283218},{"id":"https://openalex.org/C2984717058","wikidata":"https://www.wikidata.org/wiki/Q1789476","display_name":"Reference database","level":2,"score":0.10459999740123749},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10459999740123749},{"id":"https://openalex.org/C2779756789","wikidata":"https://www.wikidata.org/wiki/Q28549308","display_name":"Fake news","level":2,"score":0.10369999706745148},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.10199999809265137},{"id":"https://openalex.org/C3018395757","wikidata":"https://www.wikidata.org/wiki/Q1379672","display_name":"Evaluation methods","level":2,"score":0.10090000182390213},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.1006999984383583},{"id":"https://openalex.org/C551230270","wikidata":"https://www.wikidata.org/wiki/Q4368942","display_name":"Data retrieval","level":2,"score":0.09849999845027924},{"id":"https://openalex.org/C2778756484","wikidata":"https://www.wikidata.org/wiki/Q7631388","display_name":"Subject access","level":3,"score":0.09769999980926514},{"id":"https://openalex.org/C2987512134","wikidata":"https://www.wikidata.org/wiki/Q346799","display_name":"Life style","level":2,"score":0.09709999710321426},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.09600000083446503},{"id":"https://openalex.org/C2775989791","wikidata":"https://www.wikidata.org/wiki/Q18244815","display_name":"Scientific communication","level":2,"score":0.09539999812841415},{"id":"https://openalex.org/C169093310","wikidata":"https://www.wikidata.org/wiki/Q3702971","display_name":"Personally identifiable information","level":2,"score":0.09260000288486481},{"id":"https://openalex.org/C24351657","wikidata":"https://www.wikidata.org/wiki/Q1026962","display_name":"Digital humanities","level":2,"score":0.09160000085830688},{"id":"https://openalex.org/C2986744138","wikidata":"https://www.wikidata.org/wiki/Q302088","display_name":"Text categorization","level":3,"score":0.09070000052452087},{"id":"https://openalex.org/C2780761950","wikidata":"https://www.wikidata.org/wiki/Q7102599","display_name":"Original intent","level":3,"score":0.09030000120401382}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:publications.polymtl.ca:61634","doi":null,"is_oa":true,"landing_page_url":"https://publications.polymtl.ca/61634/","pdf_url":"https://publications.polymtl.ca/61634/1/2024_BaharanNouriinanloo.pdf","source":{"id":"https://openalex.org/S4306401013","display_name":"PolyPublie (\u00c9cole Polytechnique de Montr\u00e9al)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I45683168","host_organization_name":"Polytechnique Montr\u00e9al","host_organization_lineage":["https://openalex.org/I45683168"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Nouriinanloo, B. (2024). Improving Information Retrieval and Recommender Systems with Contextual Data and Re-Ranking [Master's thesis, Polytechnique Montr\u00e9al].","raw_type":"m\u00e9moire de ma\u00eetrise"}],"best_oa_location":{"id":"pmh:oai:publications.polymtl.ca:61634","doi":null,"is_oa":true,"landing_page_url":"https://publications.polymtl.ca/61634/","pdf_url":"https://publications.polymtl.ca/61634/1/2024_BaharanNouriinanloo.pdf","source":{"id":"https://openalex.org/S4306401013","display_name":"PolyPublie (\u00c9cole Polytechnique de Montr\u00e9al)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I45683168","host_organization_name":"Polytechnique Montr\u00e9al","host_organization_lineage":["https://openalex.org/I45683168"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Nouriinanloo, B. (2024). Improving Information Retrieval and Recommender Systems with Contextual Data and Re-Ranking [Master's thesis, Polytechnique Montr\u00e9al].","raw_type":"m\u00e9moire de ma\u00eetrise"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7029150332.pdf","grobid_xml":"https://content.openalex.org/works/W7029150332.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W2594475271","https://openalex.org/W2613111960","https://openalex.org/W2766367498","https://openalex.org/W2810605538","https://openalex.org/W2896457183","https://openalex.org/W2898695519","https://openalex.org/W2952186591","https://openalex.org/W2963265326","https://openalex.org/W2978017171","https://openalex.org/W2982596739","https://openalex.org/W3001279689","https://openalex.org/W3030163527","https://openalex.org/W3034643750","https://openalex.org/W3100107515","https://openalex.org/W3130740619","https://openalex.org/W3172887316","https://openalex.org/W4221161695","https://openalex.org/W4281483047","https://openalex.org/W4281748205","https://openalex.org/W4297899430","https://openalex.org/W4309953112","https://openalex.org/W4320003957","https://openalex.org/W4322718191","https://openalex.org/W4327810158","https://openalex.org/W4361193179","https://openalex.org/W4362515116","https://openalex.org/W4368755400","https://openalex.org/W4377090137","https://openalex.org/W4378505261","https://openalex.org/W4383046915","https://openalex.org/W4385007455","https://openalex.org/W4385569968","https://openalex.org/W4385570088","https://openalex.org/W4385571421","https://openalex.org/W4385573057","https://openalex.org/W4389518686","https://openalex.org/W4389518771","https://openalex.org/W4389520003","https://openalex.org/W4389520779","https://openalex.org/W4389523721","https://openalex.org/W4389523765","https://openalex.org/W4389523807","https://openalex.org/W4390723197","https://openalex.org/W4394994587","https://openalex.org/W4400527956","https://openalex.org/W4401042345","https://openalex.org/W4401044046","https://openalex.org/W4402671875","https://openalex.org/W4405114800","https://openalex.org/W4409159693","https://openalex.org/W4414014501","https://openalex.org/W6891509614","https://openalex.org/W6968862012","https://openalex.org/W7055216282","https://openalex.org/W7131797834","https://openalex.org/W7155906632"],"related_works":["https://openalex.org/W2029541215","https://openalex.org/W7027510788","https://openalex.org/W7042971744","https://openalex.org/W2402642124","https://openalex.org/W6894291299","https://openalex.org/W7166819429","https://openalex.org/W2937783499","https://openalex.org/W7046271845","https://openalex.org/W2399418226","https://openalex.org/W793439893"],"abstract_inverted_index":{"R\u00c9SUM\u00c9:":[0],"L'acc\u00e8s":[1],"\u00e0":[2,60,73,97,300,329,538],"l'information":[3,21],"est":[4,454,529],"un":[5,140,148,241,291,342,433,475],"besoin":[6],"humain":[7],"fondamental.":[8],"Dans":[9,285],"le":[10,91,195,265,288,312,356,361,396,463,526],"monde":[11],"actuel":[12],"ax\u00e9":[13],"sur":[14,116,167,341,376,416,474,511],"les":[15,46,94,121,188,213,218,233,262,273,280,349,364,370,417,451,458,487,505,512,533],"donn\u00e9es,":[16],"la":[17,127,177,202,228,301,330,399,421,424,518],"croissance":[18],"exponentielle":[19],"de":[20,31,39,48,65,87,99,101,111,118,123,136,142,158,186,209,215,246,250,253,255,267,293,320,324,338,358,380,382,398,404,406,436,438,447,489,501,535,540],"a":[22,548,563,648,766,789,882],"cr\u00e9\u00e9":[23],"une":[24,315,335,377,391],"demande":[25],"critique":[26],"pour":[27,125,147,170,264,295,347,394],"des":[28,34,53,67,85,129,155,163,168,198,204,223,230,304,318,366,410,412,426,442,507,521],"syst\u00e8mes":[29,38,47,76,86,95,122,219,274,371],"capables":[30],"r\u00e9cup\u00e9rer":[32],"efficacement":[33,457],"donn\u00e9es":[35],"pertinentes.":[36],"Les":[37,237],"recherche":[40],"d'information":[41],"(Information":[42],"Retrieval,":[43],"IR)":[44],"et":[45,64,89,133,179,201,232,252,283,352,403,423],"recommandation":[49,88,124,143],"ont":[50,239,260],"\u00e9merg\u00e9":[51],"comme":[52],"solutions":[54],"cl\u00e9s,":[55],"permettant":[56],"aux":[57,184,445],"utilisateurs":[58,185,231],"d'acc\u00e9der":[59],"du":[61,235],"contenu":[62],"pertinent":[63],"recevoir":[66],"recommandations":[68,156],"personnalis\u00e9es.":[69],"Cette":[70,332,373],"th\u00e8se":[71,113,211,333,389],"vise":[72],"am\u00e9liorer":[74,83,504],"ces":[75,541],"en":[77,175,244,269,322,344,419,477,491,514],"abordant":[78],"deux":[79],"d\u00e9fis":[80],"majeurs":[81],":":[82],"l'explicabilit\u00e9":[84,119],"optimiser":[90],"re-rank":[92],"dans":[93,120,217,272,309,360,369,408,486,525],"IR":[96,617,710,749,829],"l'aide":[98],"mod\u00e8les":[100],"langage":[102],"avanc\u00e9s":[103],"(Large":[104],"Language":[105,621],"Models,":[106],"LLMs).":[107],"La":[108,206],"premi\u00e8re":[109],"partie":[110,208],"cette":[112,210,388],"met":[114],"l'accent":[115],"l'importance":[117],"renforcer":[126],"confiance":[128,407,502,536],"utilisateurs,":[130],"leur":[131,134,325],"satisfaction":[132,229,722],"prise":[135],"d\u00e9cision.":[137],"Elle":[138],"pr\u00e9sente":[139],"syst\u00e8me":[141,182],"explicable":[144],"innovant":[145],"d\u00e9velopp\u00e9":[146],"partenaire":[149],"a\u00e9rien,":[150],"qui":[151],"g\u00e9n\u00e8re":[152,290,314],"non":[153,353,460],"seulement":[154],"personnalis\u00e9es":[157],"destinations,":[159],"mais":[160],"fournit":[161],"\u00e9galement":[162,468],"explications":[164],"claires":[165],"bas\u00e9es":[166],"caract\u00e9ristiques":[169],"chaque":[171,296],"suggestion.":[172,673],"En":[173,307,494],"mettant":[174],"avant":[176,355,462],"transparence":[178],"l'explicabilit\u00e9,":[180],"ce":[181,470],"permet":[183,480],"comprendre":[187],"raisons":[189],"derri\u00e8re":[190],"ses":[191,484],"recommandations,":[192],"comblant":[193],"ainsi":[194],"foss\u00e9":[196],"entre":[197],"algorithmes":[199],"complexes":[200],"compr\u00e9hension":[203,251],"utilisateurs.":[205],"deuxi\u00e8me":[207],"explore":[212],"probl\u00e8mes":[214],"classement":[216],"IR,":[220,275],"o\u00f9":[221],"l'efficacit\u00e9":[222],"r\u00e9sultats":[224,427,497],"class\u00e9s":[225],"affecte":[226],"directement":[227],"performances":[234,365,411,485,506],"syst\u00e8me.":[236],"LLMs":[238,263,513,726,743],"suscit\u00e9":[240],"grand":[242],"int\u00e9r\u00eat":[243],"raison":[245],"leurs":[247],"puissantes":[248],"capacit\u00e9s":[249],"g\u00e9n\u00e9ration":[254],"texte.":[256],"Des":[257],"\u00e9tudes":[258],"r\u00e9centes":[259],"exploit\u00e9":[261],"re-classement":[266,490,527],"passages":[268,350,459,815,902],"mode":[270,345,478,492,515],"z\u00e9ro-shot":[271],"utilisant":[276,432],"diverses":[277],"approches,":[278],"notamment":[279],"m\u00e9thodes":[281],"pointwise":[282,346,414,479,509,528,755,761,807,866,912,939,953],"listwise.":[284],"l'approche":[286,310],"pointwise,":[287],"LLM":[289,313,343,476,482,524,764,787,891,917,951],"score":[292,768],"pertinence":[294,326,422,439,448],"passage":[297,746,771,941],"par":[298,327,441,450],"rapport":[299,328],"requ\u00eate,":[302],"ind\u00e9pendamment":[303],"autres":[305],"passages.":[306,779],"revanche,":[308],"listwise,":[311],"liste":[316],"class\u00e9e":[317],"\u00e9tiquettes":[319],"documents":[321],"fonction":[323],"requ\u00eate.":[331],"propose":[334],"\u00e9tape":[336],"pr\u00e9liminaire":[337,472],"filtrage":[339,471],"bas\u00e9e":[340],"identifier":[348],"pertinents":[351,354,461],"processus":[357],"re-classement,":[359],"but":[362,665],"d'am\u00e9liorer":[363,483],"re-rankers":[367,827,867],"listwise":[368,757,784,826],"IR.":[372],"approche":[374],"repose":[375],"technique":[378,840],"avanc\u00e9e":[379],"conception":[381],"prompts":[383],"appel\u00e9e":[384],"Plan-and-Solve.":[385,843],"De":[386],"plus,":[387],"conduit":[390],"\u00e9tude":[392],"empirique":[393],"examiner":[395],"r\u00f4le":[397],"coh\u00e9rence":[400],"interne":[401],"(self-consistency)":[402],"l'\u00e9licitation":[405,500],"l'am\u00e9lioration":[409],"rerankers":[413,508],"bas\u00e9s":[415,510],"LLMs,":[418,452],"affinant":[420],"pr\u00e9cision":[425],"class\u00e9s.":[428],"Nous":[429],"constatons":[430],"qu'en":[431],"petit":[434],"nombre":[435],"scores":[437,446,534,961],"g\u00e9n\u00e9r\u00e9s":[440,449],"humains,":[443],"associ\u00e9s":[444],"il":[453],"possible":[455,897],"d'\u00e9liminer":[456],"re-classement.":[464],"Nos":[465],"exp\u00e9riences":[466],"montrent":[467],"que":[469,499,532],"bas\u00e9":[473],"au":[481],"t\u00e2ches":[488],"z\u00e9ro-shot.":[493,516],"outre,":[495],"nos":[496],"r\u00e9v\u00e8lent":[498],"peut":[503],"Notamment,":[517],"fr\u00e9quence":[519],"brute":[520],"r\u00e9ponses":[522],"d'un":[523],"moins":[530],"utile":[531],"obtenus":[537],"partir":[539],"r\u00e9ponses.":[542],"ABSTRACT:":[543],"Access":[544],"to":[545,588,599,639,683,799,810,821,851,898,918],"information":[546,560],"is":[547,833,895,955],"fundamental":[549],"human":[550],"need.":[551],"In":[552,759,780,925],"today's":[553],"data-driven":[554],"world,":[555],"the":[556,632,679,685,692,713,716,760,763,773,777,783,786,800,817,823,836,853,862,870,916,935,944,959],"exponential":[557],"growth":[558],"of":[559,627,634,703,715,776,792,825,855,864,874,885,937,947],"has":[561],"created":[562],"critical":[564],"demand":[565],"for":[566,654,671,731,744,769],"systems":[567,577,602,612,618,638],"that":[568,879,909,930],"can":[569,933],"efficiently":[570],"retrieve":[571],"relevant":[572,590,812],"data.":[573],"Information":[574],"Retrieval":[575],"(IR)":[576],"and":[578,592,613,644,677,697,723,736,756,813,857,872],"Recommender":[579],"Systems":[580],"have":[581,727,741],"emerged":[582],"as":[583,842],"key":[584],"solutions,":[585],"enabling":[586],"users":[587,682],"access":[589],"content":[591],"receive":[593],"personalized":[594,662],"recommendations.":[595],"This":[596,802,831],"thesis":[597,629,705,803,846],"aims":[598],"improve":[600,640],"these":[601],"by":[603,868,880],"addressing":[604],"two":[605],"major":[606],"challenges:":[607],"enhancing":[608],"explainability":[609,635],"in":[610,616,636,709,748,782,828,860,952],"recommender":[611,637,651],"improving":[614,861],"re-ranking":[615,747,818,923,954],"using":[619,881],"Large":[620],"Models":[622],"(LLMs).":[623],"The":[624,700],"first":[625],"part":[626,702],"this":[628,704,845,910],"focuses":[630],"on":[631,796,835],"importance":[633],"user":[641,698,721],"trust,":[642],"satisfaction,":[643],"decision-making.":[645],"It":[646],"introduces":[647],"novel":[649],"explainable":[650],"system":[652,680,724],"developed":[653],"an":[655,805,848,950],"airline":[656],"partner,":[657],"which":[658],"not":[659],"only":[660],"generates":[661,765,788],"destination":[663],"recommendations":[664],"also":[666,907],"provides":[667],"clear,":[668],"feature-based":[669],"explanations":[670],"each":[672,770],"By":[674],"prioritizing":[675],"transparency":[676],"explainability,":[678],"allows":[681,915],"understand":[684],"rationale":[686],"behind":[687],"its":[688],"recommendations,":[689],"thereby":[690],"bridging":[691],"gap":[693],"between":[694],"complex":[695],"algorithms":[696],"comprehension.":[699],"second":[701],"explores":[706],"ranking":[707],"problems":[708],"systems,":[711,750],"where":[712],"effectiveness":[714],"ranked":[717,790,875],"results":[718,928],"directly":[719],"affects":[720],"performance.":[725],"gained":[728],"significant":[729],"attention":[730],"their":[732,797],"strong":[733],"text":[734],"understanding":[735],"generation":[737],"capabilities.":[738],"Recent":[739],"studies":[740],"leveraged":[742],"zero-shot":[745,922,940],"employing":[751],"various":[752],"methods,":[753],"including":[754],"approaches.":[758],"approach,":[762,785],"relevance":[767,798,871,887,892],"concerning":[772],"query,":[774],"regardless":[775],"other":[778],"contrast,":[781],"list":[791],"document":[793],"labels":[794],"based":[795,834],"query.":[801],"proposes":[804],"LLM-based":[806,865,911,938],"pre-filtering":[808,913],"step":[809],"identify":[811],"non-relevant":[814],"before":[816,903],"process,":[819],"aiming":[820],"enhance":[822,934],"performance":[824,863,936],"systems.":[830],"approach":[832],"advanced":[837],"prompt":[838],"engineering":[839],"known":[841],"Additionally,":[844],"conducts":[847],"empirical":[849],"study":[850],"investigate":[852],"role":[854],"self-consistency":[856],"confidence":[858,931,960],"elicitation":[859,932],"refining":[869],"accuracy":[873],"results.":[876],"We":[877],"find":[878],"small":[883],"number":[884],"human-generated":[886],"scores,":[888],"coupled":[889],"with":[890],"scoring,":[893],"it":[894],"effectively":[896],"filter":[899],"out":[900],"irrelevant":[901],"reranking.":[904],"Our":[905],"experiments":[906],"show":[908],"then":[914],"perform":[919],"better":[920],"at":[921],"tasks.":[924],"addition,":[926],"our":[927],"reveal":[929],"re-rankers.":[942],"Notably,":[943],"raw":[945],"frequency":[946],"answers":[948],"from":[949,963],"less":[956],"useful":[957],"than":[958],"elicited":[962],"them.":[964]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2025-10-10T00:00:00"}
