COURIER: Contrastive User Intention Reconstruction for Large-Scale Visual Recommendation

arXiv:2306.05001v2 Announce Type: replace-cross
Abstract: With the advancement of multimedia internet, the impact of visual characteristics on the decision of users to click or not within the online retail industry is increasingly significant. Thus, incorporating visual features is a promising direction for further performance improvements in click-through rate (CTR). However, experiments on our production system revealed that simply injecting the image embeddings trained with established pre-training methods only has marginal improvements. We believe that the main advantage of existing image …

abstract advancement arxiv click cs.cv cs.lg decision features however impact improvements industry internet multimedia online retail performance rate recommendation retail retail industry scale through type visual