SOTAVerified

Product Recommendation

Papers

Showing 2650 of 132 papers

TitleStatusHype
RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online AdvertisingCode0
MILDNet: A Lightweight Single Scaled Deep Ranking ArchitectureCode0
Recommender systems and reinforcement learning for human-building interaction and context-aware support: A text mining-driven review of scientific literatureCode0
Product Information Extraction using ChatGPTCode0
Distributed Learning of Deep Neural Networks using Independent Subnet TrainingCode0
Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo ClassificationCode0
Low-Rank Factorization of Determinantal Point Processes for RecommendationCode0
A Usage-centric Take on Intent Understanding in E-CommerceCode0
Adaptive Sequence SubmodularityCode0
Harnessing the Power of Semi-Structured Knowledge and LLMs with Triplet-Based Prefiltering for Question AnsweringCode0
Complete the Look: Scene-based Complementary Product RecommendationCode0
Context-aware Retail Product Recommendation with Regularized Gradient BoostingCode0
InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme ClassificationCode0
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational DataCode0
Learning Compatibility Across Categories for Heterogeneous Item RecommendationCode0
Retrieving Similar E-Commerce Images Using Deep LearningCode0
Cascading Multiway Attentions for Document-level Sentiment Classification0
Camera Fingerprint: A New Perspective for Identifying User's Identity0
Amplifying Aspect-Sentence Awareness: A Novel Approach for Aspect-Based Sentiment Analysis0
Blocking Bandits0
A Meta-Learning Perspective on Cold-Start Recommendations for Items0
Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction0
BicliqueEncoder: An Efficient Method for Link Prediction in Bipartite Networks using Formal Concept Analysis and Transformer Encoder0
Bias Beware: The Impact of Cognitive Biases on LLM-Driven Product Recommendations0
Efficient Ensembles of Graph Neural Networks0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Ensemble (60 models)F10.07Unverified