![Improving Quality of Training Data for Learning to Rank Using Click-Through Data thumbnail](https://apiminio.videolectures.net/vln/lectures/11713/1/en/thumbnail.jpg?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=masoud%2F20241217%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20241217T043059Z&X-Amz-Expires=604800&X-Amz-SignedHeaders=host&X-Amz-Signature=7408984cc3657204668c9610afce6939263142b4709f030ac06a89ee32458a2f)
Improving Quality of Training Data for Learning to Rank Using Click-Through Data
Published on Oct 12, 20103450 Views
In information retrieval, relevance of documents with respect to queries is usually judged by humans, and used in evaluation and/or learning of ranking functions. Previous work has shown that certain