Proof pending. Core topic summary fields are still materializing.
Multimodal recommender systems (MMRSs) enhance collaborative filtering by leveraging item-side modalities, but their reliance on a fixed set of modalities and task-specific objectives limits both moda...
Product mapping, the task of deciding whether two e-commerce listings refer to the same product, is a core problem for price monitoring and channel visibility. In real marketplaces, however, sellers f...
E-commerce product understanding demands by nature, strong multimodal comprehension from text, images, and structured attributes. General-purpose Vision-Language Models (VLMs) enable generalizable mul...
Freshness
Canonical route: /topics
Agent Handoff
Canonical ID e-commerce-ai | Route /topic/e-commerce-ai
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/topic/e-commerce-aiMCP example
{
"tool": "search_papers",
"arguments": {
"query": "E-commerce AI",
"cluster": "E-commerce AI"
}
}source_context
{
"surface": "topic",
"mode": "topic",
"query": "E-commerce AI",
"normalized_query": "e-commerce-ai",
"route": "/topic/e-commerce-ai",
"paper_ref": null,
"topic_slug": "e-commerce-ai",
"benchmark_ref": null,
"dataset_ref": null
}Use This Via API or MCP
Topic pages bundle paper counts, viability trends, author concentration, and top questions into one canonical surface your agents can reference before they open Signal Canvas or create a workspace.