Best Practices for Top- N Recommendation Evaluation

Author:

Ihemelandu Ngozi1

Affiliation:

1. Boise State University, Boise, ID, USA

Publisher

ACM

Reference11 articles.

1. Precision-oriented evaluation of recommender systems

2. Roc'io Ca namares and Pablo Castells. 2020. On target item sampling in offline recommender system evaluation . In Fourteenth ACM Conference on Recommender Systems. 259--268 . Roc'io Ca namares and Pablo Castells. 2020. On target item sampling in offline recommender system evaluation. In Fourteenth ACM Conference on Recommender Systems. 259--268.

3. Model-Based Inference about IR Systems

4. Michael D Ekstrand and Vaibhav Mahant . 2017 . Sturgeon and the cool kids: Problems with random decoys for top-n recommender evaluation . In The Thirtieth International Flairs Conference. Michael D Ekstrand and Vaibhav Mahant. 2017. Sturgeon and the cool kids: Problems with random decoys for top-n recommender evaluation. In The Thirtieth International Flairs Conference.

5. Abandon Statistical Significance

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