Abstract. In this work, we propose a method for document re-ranking, which exploits negative feedback represented by non-relevant documents.

In this work, we propose a method for document re-ranking, which exploits negative feedback represented by non-relevant documents.

This paper proposes a novel approach to document re-ranking, which relies on the concept of negative feedback represented by non-relevant documents. In our ...

This paper proposes a novel approach to document re-ranking, which relies on the concept of negative feedback represented by non-relevant documents. In our ...

A novel approach to document re-ranking, which relies on the concept of negative feedback represented by non-relevant documents, is proposed, ...

One benefit of these models is that the similarity between pairs of terms or between queries and documents is a continuous function, au- tomatically ranking ...

Abstract. In this work, we propose a method for document re-ranking, which exploits negative feedback represented by non-relevant documents. The concept of non- ...

Orthogonal negation for document re-ranking? Pierpaolo Basile, Annalina Caputo, and Giovanni Semeraro Dept. of Computer Science - University of Bari “Aldo ...

This paper describes and evaluates a theoretically motivated method for removing unwanted meanings directly from the original query in vector models, ...

Sep 14, 2011 · The document presents an approach for document re-ranking in ad-hoc retrieval using negation. It explores using negation to model the ...