Research on MapReduce-Based Rocchio Relevance Feedback in Massive Information Filtering
Wen Chuan Yang, Zhi Dong Shang, Zhi Cheng Zhang · Advanced materials research · 2014
Traditional text classification algorithms have vital impact on information filtering. However, their performances were confined to a large extent in terms of the massive data set. This paper proposes an approach using MapReduce-based Rocchio relevance feedback algorithm, which improved the traditional Rocchio algorithm in the MapReduce paradigm, to resolve the problem of massive information filtering. The experiments on Hadoop cluster showed an effective improvement in performance by using the new method.