1. A method carried out by a first community question-answer (CQA) server comprising: collecting a plurality of first questions and corresponding first answers as a plurality of first question-answer (q-a) pairs; selecting a second question and a plurality of candidate second answers as a plurality of candidate second question-answer (q-a) pairs for making a determination of answer quality; identifying a set of the first questions that are similar to the second question; determining first linking features between the identified set of first questions and the corresponding first answers; comparing the first linking features with second linking features determined between the second question and each of the candidate second answers for predicting analogous linking features; and ranking the candidate second answers based on the comparing.
2. The method according to claim 1 , further comprising: creating a link prediction model from the plurality of first q-a pairs; and using the link prediction model in combination with the first linking features to predict a likelihood of the second linking features being analogous to the first linking features.