# Query Term Weighting based on Query Performance Prediction

arXiv: https://arxiv.org/abs/1902.10371 · HTML: https://mlsanity.com/paper/1902.10371/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 Feb 2019.

## Built on by (most cited first, 1 of 1)

- [Query Expansion and Entity Weighting for Query Reformulation Retrieval in Voice Assistant Systems](https://mlsanity.com/paper/2202.13869/) (2022)

## Abstract (arXiv)

This work presents a general query term weighting approach based on query performance prediction (QPP). To this end, a given term is weighed according to its predicted effect on query performance. Such an effect is assumed to be manifested in the responses made by the underlying retrieval method for the original query and its (simple) variants in the form of a single-term expanded query. Focusing on search re-ranking as the underlying application, the effectiveness of the proposed term weighting approach is demonstrated using several state-of-the-art QPP methods evaluated over TREC corpora.