The recommendation has been playing a key role in many industries, eg, e-commerce,
streaming media, social media, etc. Recently, a new recommendation scenario, called …

With the rapid development of the short video industry, traditional e-commerce has
encountered a new paradigm, video-driven e-commerce, which leverages attractive videos …

Data-as-a-service is increasingly prevalent, with outsourced K-approximate nearest
neighbors search (K-ANNS) gaining popularity in applications like similar image retrieval …

To cater to users' desire for an immersive browsing experience, numerous e-commerce
platforms provide various recommendation scenarios, with a focus on Trigger-Induced …

Click conversion rate is an important indicator that e-commerce platforms pay attention to.
The user's behaviors toward the product on the e-commerce platform, to some extent …

Traditional recommendation models grapple with challenges such as the scarcity of similar
user or item references and data sparsity, rendering the cold-start problem particularly …

E-commerce platforms provide entrances for customers to enter mini-apps to meet their
specific shopping needs. At the entrance of a mini-app, a trigger item recommended based …

E-commerce app users exhibit behaviors that are inherently logically consistent. A series of
multi-scenario user behaviors interconnect to form the scene-level all-domain user …

Relevant recommendation is a distinctive recommendation scenario in e-commerce
platforms, which provides an extended set of items that are relevant to the trigger item (the …

Recommender Systems have been proven to be of great business value in e-commerce
platforms and recommendation algorithms play an important role in it. E-commerce platforms …