MacEwan University at the TREC 2020 Fair Ranking Track

dc.contributor.author	Almquist, Brian
dc.date.accessioned	2022-10-27T14:55:52Z
dc.date.available	2022-10-27T14:55:52Z
dc.date.issued	2020
dc.description	Presented on November 16-20, 2020, at the "Twenty-Ninth Text REtrieval Conference (TREC 2020)” held online.
dc.description.abstract	The MacEwan University School of Business submitted two runs for the TREC 2020 Fair Ranking Track. For this task, we indexed the document abstracts and the associated metadata from the provided Semantic Scholar dataset into a single Solr1 node using a standard Tokenizer chain. For each of the evaluation queries, we executed a query for each of the documents that required reranking. For each query-document pairing, we collected the BM25 similarity score for the “paperAbstract” and “title” fields. Each of the documents are ranked for each field based on the similarity score with the query text, with ties sharing their combined rank. This resulted in two ranked lists for each query.
dc.identifier.citation	Almquist, B. MacEwan University at the 2020 TREC Fair Ranking Track. Proceedings of the 29th Text REtrieval Conference, 2020. https://trec.nist.gov/pubs/trec29/trec2020.html
dc.identifier.uri	https://hdl.handle.net/20.500.14078/2839
dc.language.iso	en
dc.rights	All Rights Reserved
dc.subject	information retrieval
dc.subject	rank aggregation
dc.title	MacEwan University at the TREC 2020 Fair Ranking Track	en
dc.type	Presentation

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