if(fbDocs > 0 && fbTerms > 0) {
List<TResult> results = client.search(queryText, query.getQuerytweettime(), fbDocs);
FeedbackRelevanceModel fb = new FeedbackRelevanceModel();
fb.setOriginalQuery(query);
fb.setRes(results);
fb.build(stopper);
FeatureVector fbVector = fb.asFeatureVector();
fbVector.pruneToSize(fbTerms);
fbVector.normalizeToOne();
fbVector = FeatureVector.interpolate(query.getFeatureVector(), fbVector, ORIG_QUERY_WEIGHT);