Personal Recommendation Using a Novel Collaborative Filtering Algorithm in Customer Relationship Management
Figure 3
The effect of parameter on CF-M with recommendation number . For MovieLens, the precision is at its highest at about , at almost the same point where the recall achieves its maximum. Present results are obtained by averaging over four independent 80% versus 20% divisions.
