# Simple Silver Solution.

Here is my solution for this competition. The code is
[here](https://www.kaggle.com/code/dongkyunkim/simple-silver-solution-foursquare-inference)
It received a silver medal without any ensembling or complicated feature engineering.
The pipeline is is simple:
Train xlmroberta with ArcFace Loss
Use the cos sims from the xlmroberta + coordinate distance to extract match candidates
Add features (cos sim, distance, lcs, tfidf, etc…)
Train a lightgbm model (with flaml hyperparameter optimization) to select the correct candidates as a binary classification task.
Do 2-3 on the test data and inference with lgbm