3. A method according to claim 1 , wherein the sigmoid function is used to combine multiple similarity scores together to predict the probability.
4. A method according to claim 3 , wherein different of the multiple similarity scores correspond to respective different keyword weighting algorithms used to weight terms in term vectors used to generate the similarity scores.