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.
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. 7. The method according to claim 1 , wherein the collecting the first q-a pairs further comprises collecting both positive first q-a pairs containing a first answer previously identified as a high-quality answer, and negative first q-a pairs containing a first answer that is not a high-quality answer.