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Micro-video prediction with the multi-behavior sequence remains a challenging task for current recommendation systems. Existing approaches tend to model each individual behavior sequence separately to obtain multi-level user preferences. However, ...

Micro-video online platforms have become prevalent in recent years, necessitating effective recommender systems to help identify users’ preferences. Previous works have made significant efforts to leverage the multi-modal information and leverage ...

Micro-videos, a new form of videos that are constrained in duration, gain significant popularity in recent years. The volume and rate of online micro-videos urgently calls for effective recommendation algorithms to help users find their interested ...

Teaching programming using static code examples is the process of displaying pre-written code examples and explaining the purpose of the code. Live-coding is the process of writing code in-class in front of the students and thinking aloud while doing ...

Biochemical molecules are substantial bases for the function of nervous system. The concentrations of specific molecules are closely linked to the activity and status of nervous system. This paper summarized our previous work on the relationship ...

Sharding is a fundamental building block of large-scale applications, but most have their own custom, ad-hoc implementations. Our goal is to make sharding as easily reusable as a filesystem or lock manager. Slicer is Google's general purpose sharding ...

In many applications, the data may be high dimensional, represented by multiple features, and associated with more than one labels. Embedding learning is an effective strategy for dimensionality reduction and for nearest neighbor search in massive ...

The maskless and resistless focused ion beam (FIB) fabrication approach to make imprint stamp is straightforward and rapid compared to the traditional electron beam method. FIB etched stamp consisting of grooves was employed to nanoimprint polymer mr-I ...