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Found 6 papers, 0 papers with code
Event-based Product Carousel Recommendation with Query-Click Graph
Product recommendations for the multiple aspects of the target event are usually generated by human curators who manually identify the aspects and select a list of aspect-related products (i. e., product carousel) for each aspect as recommendations.
Character-based Outfit Generation with Vision-augmented Style Extraction via LLMs
The outfit generation problem involves recommending a complete outfit to a user based on their interests.
LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing
Although the UDF design pattern introduces flexibility, reusability and scalability, the increasing demand on machine learning pipelines brings three new challenges to this design pattern -- not low-code, not dependency-free and not knowledge-aware.
Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs
Knowledge Graphs (KGs) play a crucial role in enhancing e-commerce system performance by providing structured information about entities and their relationships, such as complementary or substitutable relations between products or product types, which can be utilized in recommender systems.
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders
Considering the influence of historical purchases on users' future interests, the user and item representations can be viewed as unobserved confounders in the causal diagram.
NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation
On the other hand, the model evaluation will not be trustworthy if the labels for evaluation are not reflecting the true complementary relatedness.
