Multiple Location Profiling for Users and Relationships from Social Network and Content
Summary: MLP, a multi-location profiling model for Twitter, jointly models following likelihood and tweeted venues conditioned on user locations, handling multiple locations per user and noisy signals with home locations as partial supervision. It yields 62% home-location placement (≈10pp above SOTA), 14% recall gain for discovering multiple locations, and 57% accuracy in explaining each following relationship. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Rui Li
- 2. Shengjie Wang
- 3. Kevin Chen-Chuan Chang
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