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Profile Generation

Profile Generation is the task of creating a profile for an individual or entity based on information about them. The goal of profile generation is to gather as much relevant information about the individual or entity as possible, in order to build an accurate and comprehensive profile.

Papers

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Showing 11–18 of 18 papers

TitleStatusHype
Modeling Generalized Rate-Distortion Functions—0
PresSim: An End-to-end Framework for Dynamic Ground Pressure Profile Generation from Monocular Videos Using Physics-based 3D Simulation—0
Solving the Content Gap in Roblox Game Recommendations: LLM-Based Profile Generation and Reranking—0
Topical Generalization for Presentation of User Profiles—0
User Profile with Large Language Models: Construction, Updating, and Benchmarking—0
A Prompting-Based Representation Learning Method for Recommendation with Large Language Models—0
Automating Personalization: Prompt Optimization for Recommendation Reranking—0
Bursting Filter Bubble: Enhancing Serendipity Recommendations with Aligned Large Language Models—0
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