A Practical Keyword Recommendation Method Based on Probability in Digital Publication Domain
Yuejun Li, Xiao Yan Feng, Shuwu Zhang · Lecture notes in computer science · 2015
The increase of information and knowledge has brought great challenge in knowledge management which includes knowledge storage, information retrieval and knowledge sharing. In digital publication domain, books are segmented into items that focus on target topic for dynamic digital publication. The management of items has great need to annotate items automatically instead of annotating by editor manually. This paper proposed probability based and hybrid method to recommend meaningful keywords for items. Experiment shows that the methods we proposed get more than 90 % precision, recall and f1 value on the digital publication dataset which outperforms the traditional extraction based and tfidf similarity based method in keyword recommendation.