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What does bert know about books, movies and music? probing bert for conversational recommendation
Heavily pre-trained transformer models such as BERT have recently shown to be
remarkably powerful at language modelling, achieving impressive results on numerous …
remarkably powerful at language modelling, achieving impressive results on numerous …
Mave: A product dataset for multi-source attribute value extraction
Attribute value extraction refers to the task of identifying values of an attribute of interest from
product information. Product attribute values are essential in many e-commerce scenarios …
product information. Product attribute values are essential in many e-commerce scenarios …
An unified search and recommendation foundation model for cold-start scenario
In modern commercial search engines and recommendation systems, data from multiple
domains is available to jointly train the multi-domain model. Traditional methods train multi …
domains is available to jointly train the multi-domain model. Traditional methods train multi …