Intent learning, which aims to learn users' intents for user understanding and itemrecommendation, hasbecome ahotresearch spotinrecent years.

Many modern machine learning (ML) tasks deal with learning from set-structured data.

Weshowtheperformance ofGETF onhigh order tensor data inFigure 6. Noted, when theorder increases, the tensor size would increase exponentially.

Boolean TensorDecomposition (BTD)factorizes abinarytensorintotheBoolean sumof multiple rank-1 tensors, which is an NP-hard problem.

To address this challenge, methods need to accommodate target domains with different temporal dynamics and be capable of doing so without seeing any target examples during pre-training.

These algorithms iterate with first-order oracle and achieve linear convergence.