Nacionalni portal odprte znanosti

This paper aims to conduct a comprehensive study on the listwise approach to learning to rank. The listwise approach learns a ranking function by taking individual lists as instances and minimizing a loss function defined on two lists (one is predicted result and the other ground truth). Existing wo ...

This paper is concerned with the generalization ability of learning to rank algorithms for information retrieval (IR). We point out that the key for addressing the learning problem is to look at it from the viewpoint of query, and we give a formulation of learning to rank for IR based on the conside ...