A practical recommender system should be able to handle heterogeneous behavioral
feedback as inputs and has multi-task outputs ability. Although the heterogeneous one-class …

Music plays a vital role in human culture and society, serving as a universal form of
expression. However, accurately classifying music emotions remains challenging due to the …

To enhance the efficacy of multi-scenario services in industrial recommendation systems,
the emergence of multi-domain recommendation has become prominent, which entails …

With the explosive growth of various commercial scenarios, there is an increasing number of
studies on multi-scenario recommendation (MSR) which trains the recommender system …

Multi-scenario recommender systems (MSRSs) have been increasingly used in real-world
industrial platforms for their excellent advantages in mitigating data sparsity and reducing …

User personalized recommendation is increasingly vital in many industrial applications. How
to precisely mine user's dynamic interests from multiple scenarios is a challenge task in …

Feed recommendation is currently the mainstream mode for many real-world applications
(eg, TikTok, Dianping), it is usually necessary to model and predict user interests in multiple …

With the increase in the business scale and number of domains in online advertising, multi-
domain ad recommendation has become a mainstream solution in the industry. The core of …

Multi-scenario route ranking (MSRR) is crucial in many industrial mapping systems.
However, the industrial community mainly adopts interactive interfaces to encourage users …

Multimodal recommendation systems have been widely used in e-commerce and short
video platforms. Due to the large differences in data volume and data distribution in different …