Jun Chang

DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation

2019

Despite the great success of many matrix factorization based collaborative filtering approaches, there is still much space for improvement in recommender system field. One main obstacle is the cold-start and data sparseness problem, requiring better …