Implementation of a new Knowledge Management mechanism in Competitive Intelligence using Data Science and recommendation techniques

Abstract

This paper aims to capitalize on the knowledge codified on deliverables of competitive intelligence using a series of data science techniques. At the beginning, the extraction and structuring of the knowledge resulting from those reports based on a combination of Text Mining techniques applied in Python, in order to create the dataset that will be indexed and analyzed in the next following steps. Then, building a search engine with Elasticsearch that will index the full dataset built. Finally, a recommender system has been added in order to suggest to the user a content close to this query and to recommend him the most popular competitive intelligence reports

Keywords

• Competitive intelligence
• Knowledge Management
• Text Mining
• Search Engine
• Recommender System