Papers by Jiabao Fang

1 papers
CESRec: Constructing Pseudo Interactions for Sequential Recommendation via Conversational Feedback (2025.findings-emnlp)

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Challenge: Existing Sequential Recommendation Systems (SRS) rely on collaborative filtering signals and fail to capture real-time user preferences.
Approach: They propose a framework that integrates the long-term preference modeling of SRS with the real-time preference elicitation of CRS.
Outcome: The proposed framework integrates the long-term preference modeling of SRS with the real-time preference elicitation of CRS.

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