Papers with search and recommendation

2 papers
PropGenie: A Multi-Agent Conversational Framework for Real Estate Assistance (2026.eacl-demo)

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Challenge: PropGenie is a multi-agent framework based on large language models (LLMs) it provides comprehensive real estate assistance in real-world scenarios .
Approach: They propose a multi-agent framework based on large language models to deliver comprehensive real estate assistance in real-world scenarios.
Outcome: The proposed framework outperforms a general-purpose LLM and a domain-specific chatbot in real-world scenarios.
Extracting Shopping Interest-Related Product Types from the Web (2023.findings-acl)

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Challenge: Existing e-commerce products are limited in their ability to assist customers in interest-oriented shopping.
Approach: They propose to extract PTs from Web pages containing hand-crafted PT recommendations for SIs . they propose to use tree-transformer encoders for node classification to improve inter-node dependency modeling .
Outcome: The proposed model outperforms the best baseline model by 2.37 F1 points on a WebPT dataset.

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