Business Intelligence and Recommendation for Samsung Knox Community Forum

Companies usually use private forums to share sensitive information and discuss strategies. Valuable business knowledge is hidden inside the user generated content in these forums and waiting to be extracted and reused. Knox Community Forum, a thriving private forum inside Samsung where employers from all around the world post content like win notices of deals, meeting agendas of customers, business objectives, various news and technical issues online. In spite of large numbers of posts generated on Knox Community Forum every day, Samsung does not yet have tools to analyze the content of the posts. The intern will gain access to real business forum data set of Samsung and extract data fields from unstructured post content and perform business intelligence mining including business trends summarization and prediction. Previous customer requirements and sale solution will also be mined and paired. A new personalized recommendation algorithm will be developed to recommend the best solution summarized from past requirement-solution pairs given a specific customer and help the sales agent to better engage the customer

Faculty Supervisor:

Martin Ester

Student:

Beidou Wang

Partner:

Samsung Research Canada

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Simon Fraser University