aiBACKGROUND
Right-Sizing Communication and Recommendation Set Size in AI-Assisted Search
BACKGROUND
1 SIGNALFIRST DETECTED 26 May 2026
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How the story developed
26 May
Right-Sizing Communication and Recommendation Set Size in AI-Assisted Search
REPORT · WHAT · ArXiv CS.AI
Other feeds and industry voices
21 Aug
Bridging Search and CRM: Productionizing AI Product Research Agents for Customer Re-Engagement
arXiv:2608.18543v1 Announce Type: new Abstract: Modern e-commerce platforms often operate search, recommendation, personalization, and CRM systems independently, limiting
REPORT · WHERE · ArXiv CS.AIOPEN STORY
10 Aug
Shape Your Feed: An LLM-based Agentic System for Conversational Recommendation
arXiv:2608.06632v1 Announce Type: new Abstract: Industrial recommendation systems predominantly adopt a passive ranking paradigm that infers user preferences from implicit
REPORT · WHAT · ArXiv CS.AIOPEN STORY
12 Sept
Agentic Share-of-Search: A Multi-Agent AI System for Competitive Decision-Making in LLM-Mediated E-Commerce
arXiv:2609.11190v1 Announce Type: new Abstract: AI shopping assistants increasingly redirect consumer discovery, creating an urgent need for tools that support seller-side
REPORT · WHAT · ArXiv CS.AIOPEN STORY
Sources
ArXiv CS.AI
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