Abstract: Compared with traditional recommendation algorithms based on collaborative filtering and content, the sequential recommendation can better capture changes in user interests and recommend ...
Materials scientists can learn a lot about a sample material by shooting lasers at it. With nonlinear optical microscopy—a ...
Abstract: The purpose of Sequential Recommendation (SR) is to recommend the next commodities that a user wants to buy based on their historical interaction sequence. The current approach for SR ...
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