Estimating translation probabilities for social tag suggestion
We present a new perspective to tag suggestion and treat it as a translation process. We propose two methods to estimate the translation probabilities. Our methods can solve the problem of vocabulary gap. Our methods are effective and robust compared with other methods. Our methods are relatively simple and efficient, which makes them practical.
tag suggestion natural language processing translation model word alignment model pointwise mutual information