CORDIS Project
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This project aims to enhance information retrieval by developing efficient training data for ranking algorithms. It addresses the challenges of creating relevant datasets for various document collections, enabling better search systems that help users find pertinent information more quickly.
Ranking sits at the core of information retrieval.
Given a query, a collection of documents have to be ranked based on their relevance with respect to the query.
Most modern search are based on learning to rank: given a training set composed of query-document pairs judged in terms of relevance, learn to rank documents given a query.
Constructing training data for learning to rank is very expensive as it requires a significant human effort for judging the relevance of each document for each query…
KOC UNIVERSITY
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