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Found 7 papers, 1 papers with code
Sequential LLM Framework for Fashion Recommendation
The fashion industry is one of the leading domains in the global e-commerce sector, prompting major online retailers to employ recommendation systems for product suggestions and customer convenience.
Efficient Generalized Low-Rank Tensor Contextual Bandits
In this paper, we aim to build a novel bandits algorithm that is capable of fully harnessing the power of multi-dimensional data and the inherent non-linearity of reward functions to provide high-usable and accountable decision-making services.
Graph2topic: an opensource topic modeling framework based on sentence embedding and community detection
However, these approaches suffer from the inability to select appropriate parameters and incomplete models that overlook the quantitative relation between words with topics and topics with text.
Cross-Lingual Document Retrieval with Smooth Learning
Cross-lingual document search is an information retrieval task in which the queries' language differs from the documents' language.
Explainable Ordinal Factorization Model: Deciphering the Effects of Attributes by Piece-wise Linear Approximation
Ordinal regression predicts the objects' labels that exhibit a natural ordering, which is important to many managerial problems such as credit scoring and clinical diagnosis.
A preference learning framework for multiple criteria sorting with diverse additive value models and valued assignment examples
We propose an optimization model for constructing a preference model from such valued examples by maximizing the credible consistency among reference alternatives.
Data-driven preference learning methods for value-driven multiple criteria sorting with interacting criteria
We also propose a few novel methods for classifying non-reference alternatives in order to enhance the applicability of our approach to different datasets.
