Boardgame Recommender System Using Collaborative Filtering
Title:
Boardgame Recommender System Using Collaborative Filtering
Year:
2017
Original Order:
8555
Game:
2017-SEM17112886
Short Description:
Review of the concepts (& some math) required to build your own recommender system from other user boardgame ratings.
Long Description:
With the growth in the boardgame industry, more games are being released year after year making it difficult to evaluate all of them. However, with the growth the of the industry, there are also more boardgamers with more and more posting their ratings on line meaning that there is a wealth of information accessible to us. This seminar will review an analytic to generate recommendations for users based upon games they have already rated. Seminar is intended for general audience, but math concepts are included where necessary for accurate understanding of the algorithm. Analysis uses Apache Spark.
Event Type:
SEM - Seminar
Minimum Players:
5
Maximum Players:
50
Age Required:
Teen (13+)
Experience Required:
None (You've never played before - rules will be taught)