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This repository refers to the final project of USP Introduction to Data Science module (code: SCC0275). We proposed the Personal Context-Aware Recommendation (PCAR) method, which offers to a League of Legend player a personalised recommendation of Picks & Bans based on its statistics on an online and smart-reasoning fashion.

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League of Legends: Recommendation API

Personal Context-Aware Recommendation (PCAR) Model

leaguefront network

This repository refers to the final project of USP Introduction to Data Science module (code: SCC0275).

We propose a context-sensitive approach to dealing with a recommendation problem using the League of Legends game as a context in our application. Several hot data science techniques and analysis are present in this paper, intending to evaluate our knowledge and capabilities.

The results and comments in the pdf are in Portuguese due to the evaluative quality required.

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This repository refers to the final project of USP Introduction to Data Science module (code: SCC0275). We proposed the Personal Context-Aware Recommendation (PCAR) method, which offers to a League of Legend player a personalised recommendation of Picks & Bans based on its statistics on an online and smart-reasoning fashion.

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