This paper proposes an empirical approach for analyzing the rank distribution of relevant documents in Web search. From a methodological point of view a new ...

This paper proposes an empirical approach for ana- lyzing the rank distribution of relevant documents in web search. From a methodological point of view a ...

This paper proposes an empirical approach for analyzing the rank distribution of relevant documents in Web search. From a methodological point of view a new ...

May 20, 2022 · 3.3 Empirical Studies on Proposed Criteria for. Active LTR. While the first criterion Ranking Entropy (RE) directly measures the uncertainty ...

Using a simultaneous equations model, we quantify the relationship between various keyword characteristics, position of the advertisement, and the landing page ...

This paper proposes an empirical approach for analyzing the rank distribution of relevant documents in Web search. From a methodological point of view a new ...

Sep 26, 2024 · Abstract. Training Learning-to-Rank models for e-commerce product search ranking can be challenging due to the lack of a gold standard of.

Jun 16, 2024 · Our analysis delves into how these LLMs handle queries and documents related to these attributes, aiming to uncover biases in their ranking ...

We show that incorporating implicit feedback can augment other features, improving the accuracy of a competitive web search ranking algorithms by as much as 31% ...

This paper introduces a set of metrics able to measure the reputation of a Web source by considering its authority, its relevance in a given context, and the ...