{"id":"https://openalex.org/W4414035005","doi":"https://doi.org/10.1145/3705328.3748094","title":"LADDER: LLM-Annotated Data for Dogfooded Evaluation of Rankings","display_name":"LADDER: LLM-Annotated Data for Dogfooded Evaluation of Rankings","publication_year":2025,"publication_date":"2025-09-06","ids":{"openalex":"https://openalex.org/W4414035005","doi":"https://doi.org/10.1145/3705328.3748094"},"language":"en","primary_location":{"id":"doi:10.1145/3705328.3748094","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3705328.3748094","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3705328.3748094","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3705328.3748094","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119556772","display_name":"Mattia Ottoborgo","orcid":null},"institutions":[{"id":"https://openalex.org/I83467386","display_name":"IT University of Copenhagen","ror":"https://ror.org/02309jg23","country_code":"DK","type":"education","lineage":["https://openalex.org/I83467386"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Mattia Ottoborgo","raw_affiliation_strings":["TrustPilot, Copenhagen, Denmark"],"raw_orcid":"https://orcid.org/0009-0006-1595-7640","affiliations":[{"raw_affiliation_string":"TrustPilot, Copenhagen, Denmark","institution_ids":["https://openalex.org/I83467386"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5119556772"],"corresponding_institution_ids":["https://openalex.org/I83467386"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1186586,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"995","last_page":"998"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9980999827384949,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9980999827384949,"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/T10028","display_name":"Topic Modeling","score":0.9975000023841858,"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":0.9966999888420105,"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":0.6338381767272949},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33599162101745605},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33581864833831787}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6338381767272949},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33599162101745605},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33581864833831787}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3705328.3748094","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3705328.3748094","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3705328.3748094","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3705328.3748094","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3705328.3748094","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3705328.3748094","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414035005.pdf","grobid_xml":"https://content.openalex.org/works/W4414035005.grobid-xml"},"referenced_works_count":3,"referenced_works":["https://openalex.org/W2047221353","https://openalex.org/W2101626488","https://openalex.org/W2915898599"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,31],"showcase":[4],"the":[5,34,37,46,50,69,75,79,86],"implementation":[6],"of":[7,18,36],"LADDER:":[8],"A":[9],"method":[10],"utilizing":[11],"Large":[12],"Language":[13],"Model":[14],"to":[15,21,26,42,48,60],"annotate":[16],"thousands":[17],"consumer":[19],"reviews":[20,40],"train":[22],"a":[23],"point-wise":[24],"learning":[25],"rank":[27],"algorithm.By":[28],"applying":[29],"LADDER,":[30],"significantly":[32],"improved":[33],"relevance":[35,92],"top":[38],"4":[39],"presented":[41],"users,":[43],"demonstrably":[44],"reducing":[45],"need":[47],"access":[49],"full":[51],"review":[52,71,94],"collection":[53],"by":[54,64],"5%.This":[55],"outcome":[56],"highlights":[57],"LADDER's":[58],"ability":[59],"enhance":[61],"user":[62],"experience":[63],"providing":[65],"sufficient":[66],"information":[67],"within":[68],"initial":[70],"set,":[72],"thereby":[73],"streamlining":[74],"decision-making":[76],"process.We":[77],"discuss":[78],"efficiency":[80],"gains":[81],"in":[82,93],"large-scale":[83],"data":[84],"labeling,":[85],"positive":[87],"impact":[88],"on":[89],"trust":[90],"and":[91,99],"presentation":[95],"without":[96],"sacrificing":[97],"usability,":[98],"key":[100],"insights":[101],"into":[102,107],"effectively":[103],"integrating":[104],"domain":[105],"expertise":[106],"LLM":[108],"annotation":[109],"for":[110],"high-quality":[111],"results.":[112]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
