Dynamic Semantic ID
No mentions found
This entity hasn't been tracked yet, or Iris is still building its knowledge base.
Related Articles from SNS
SSRLive: Live Streaming Recommendation with Dynamic Semantic ID
Announce Type: new Abstract: Live streaming has emerged as one of the fastest-growing forms of online media, enabling instant content broadcasting and real-time engagement between users and streamers. Despite the effectiveness of existing recommendation algorithms in this domain, they often suffer from limited utilization of computational resources, with low FLOPs that hinder further performance enhancement. Generative recommendation techniques, which have gained traction in various...
DREAM: Dynamic Refinement of Early Assignment Mappings
arXiv:2606.06947v1 Announce Type: new Abstract: Generative recommendation advances item retrieval by reformulating it as autoregressive generation of Semantic IDs (SIDs), compact token sequences that encode item semantics. While SIDs offer a strong semantic prior, current SID-based methods assign each item a single static identifier through offline tokenization before sufficient user feedback is observed. For cold-start items, this one-shot commitment produces poorly discriminative codes,...
Generative Reasoning Re-ranker
arXiv:2602.07774v5 Announce Type: replace Abstract: Recent studies increasingly explore Large Language Models (LLMs) as a new paradigm for recommendation systems due to their scalability and world knowledge. However, existing work has three key limitations: (1) most efforts focus on retrieval and ranking, while the reranking phase, critical for refining final recommendations, is largely overlooked; (2) LLMs are typically used in zero-shot or supervised fine-tuning settings, leaving their...
DPM++: Dynamic Masked Metric Learning for Occluded Person Re-identification
Announce Type: replace Abstract: Although person re-identification has made impressive progress, occlusion caused by obstacles remains an unsettled issue in real applications. The difficulty lies in the mismatch between incomplete occluded samples and holistic identity representations.
Gooey: A GPU-accelerated UI framework for Zig
A GPU-accelerated UI framework for Zig, targeting macOS (Metal), Linux (Vulkan/Wayland), and Browser (WASM/WebGPU). Join the Gooey discord Early Development: API is evolving. Example app built with Gooey — chat-zig, an Anthropic Claude client using the Zig 0.16 std.