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Number of recommendations

Research the best number and reference https://www.researchgate.net/publication/315764560_Exploring_Choice_Overload_in_Related-Article_Recommendations_in_Digital_Libraries Display few recommendations; more recommendations do not increase user's clicking by much

Preprocess

Possibly average multiple ratings for same item

Evaluation

Fix precision and recall

Limitations

Average rating Sparsity problem in collab filtering

Paper

Perhaps discuss how data was filtered and random contexts generated Justify top-k recommendations and algorithm

Results

MAE: 2.26, 2.18, 2.30, 2.34, 2.19, 1.98, 2.31, 2.21, 2.26, 2.03 Precision: 0.33, 0.40, 0.75, 0.33, 0.40, 0.33, 0.50, 0.75, 0.50, 0.33 Recall: 0.57, 0.20, 0.20, 0.50, 0.15, 0.40, 0.40, 0.14, 0.50, 0.14