Top-k SAS : on reliable retrieval of top-k tags

Abstract

above method is quite challenging. To address this problem, we propose a learning-based method which applies machine learning models to estimate whether the k most frequent tags are qualified to be the top-k tags. Experiment on the same datasets demonstrate that the learning-based method achieves comparable performance while overcoming the difficulty of setting proper parameter in previous method.