DSS 615: KDD Cup 2016
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This in-class prediction competition is modeled after [KDD Cup 2016][1].
*Whose papers are accepted the most: towards measuring the impact of research institutions*

In this challenge, you are asked to rank affiliations (i.e. institutions) based on how much they contribute to a field of study (e.g. machine learning, mobile computing).

The prediction task involves predicting *affiliation rankings* based on the number of research papers that will be accepted to a conference.

Affiliation Rankings
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We use the following simple policy to determine the Affiliation Ranking:

1. Each accepted paper has an equal vote (i.e., they are equally important).

2. Each author has an equal contribution to a paper.

3. If an author has multiple affiliations, each affiliation also contributes equally.

Suppose there is a paper which has three authors "author1", "author2" and "author3", who belong to different affiliations "affiliation1", "affiliation2" and "affiliation3", respectively. Then in this case, each affiliation will receive 1/3 vote for its score.

Suppose another paper has two authors "author1" (belongs to "affiliation1") and "author4" (belongs to both "affiliation3" and "affiliation4". In this case, "affiliation1" will receive the score 1/2, while "affiliation3" and "affiliation4" both receive the score 1/4.

By aggregating the scores from the above two papers, the final affiliation ranking scores are:

"affiliation1" = 1/3 + 1/2 = 0.8333
"affiliation3" = 1/3 + 1/4 = 0.5833
"affiliation2" = 1/3 = 0.3333
"affiliation4" = 1/4 = 0.2500


  [1]: https://kddcup2016.azurewebsites.net/