SYSTEMS AND METHODS FOR QUERY PERFORMANCE PREDICTION USING REFERENCE LISTS

摘要

A method of computing a query performance prediction (QPP), comprising: receiving a target search query and a set of target search results obtained by executing the target search query on a corpus of data-elements, computing variations of the target search query, receiving a candidate set of search results for each of the variations, computing a statistical similarity metric indicative of statistically significant similarity or dissimilarity between each candidate set of search results and the set of target search results, clustering the candidate sets of search results into a cluster of pseudo effective reference lists (PE-RL) according to an association with statistical similarity requirement, and into a cluster of pseudo ineffective reference lists (PIE-RL) according to an association with statistically dissimilarity requirement, and computing the QPP of the target search results responsive to the target search query according to an aggregation of the PR-RL cluster and PIE-RL cluster.