Research on Long Tail Recommendation Algorithm
Xuezhi Hu, Chuang Zhang, Ming Wu, Yang Zeng · IOP Conference Series Materials Science and Engineering · 2017
Most recommendation systems in the major electronic commerce platforms are influenced by the long tail effect more or less. There are sufficient researches of how to assess recommendation effect while no criteria to evaluate long tail recommendation rate. In this study, we first discussed the existing problems of recommending long tail products through specific experiments. Then we proposed a long tail evaluation criteria and compared the performance in long tail recommendation between different models.