1. Recommended algorithms in the system:
Collaborative filtering:
Based on user USER-CF
Content-based ITEM–CF
Slop One
Association rules (Apriori algorithm, beer and diapers)
2.slope One algorithm
The slope one algorithm is a personalized algorithm for predicting user ratings based on a linear algorithm of scoring differences between different items. The slope one algorithm was presented by Professor Daniel in 2005. It is divided into 2 main steps
1. Calculate the average of the difference between items, and mark the deviation of the scores between items;
2. Generate a list of recommended items with high predictive scores based on the scoring deviations between items and the user's historical score.
Instance:
3.slope One application scenario and pros and cons
7. Recommended System Evaluation indicators:
Coverage
Recall rate
F1
Referral System (Collaborative filtering, slope one)