Background Formalization of the Problem Similar with rating prediction >Personalized QoS prediction in e-commerce systems User-Service Invocation Matrix Sufficient service1 service2 service3 service4 million Features user1 911 关 年 然 + user2 法 q22 然 益 Effective user3 关 关 关 关 Model user4 q41 关 关 q44 Cold-Start user5 关 q53 Problem → ■ Challenge million >Data Sparsity>Cold Start Problem >Large Scale Feasibility 20171615 XDU ZJU Background  Formalization of the Problem ➢ Personalized QoS prediction ➢ User-Service Invocation Matrix 2017/6/15 5 service1 service2 service3 service4 user1 q11 user2 q22 user3 user4 q41 q44 user5 q53 ➢ Large Scale  Feasibility  Challenge ➢ Data Sparsity  Cold Start Problem million million Sufficient Features + Effective Model Cold-Start Problem Similar with rating prediction in e-commerce systems XDU & ZJU