  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.
