Start: Sept. 20, 2024, midnight
Description: The focus of this milestone is on ranking models. In this milestone, you will learn how to use ElasticSearch (ES) to implement an inverted index of the collection. You will learn how to use and implement different ranking models and how to evaluate the performance of your ranking model. In addition, you will do an in-depth analysis of the effect of different parameters of the ranking models and text pre-processing techniques. For evaluation, you will learn to work with the 'pytrec_eval' library.
Start: Oct. 16, 2024, midnight
Description: This is the last milestone where you will focus on improving your results even better. Now your pipeline is complete, and it’s time to investigate where you can reach better improvement. There are various options you can explore, such as: - working with various lexical and semantic features and train a learning-to-rank model; - testing different sets of features for your learning-to-rank model; - tuning the hyper-parameters of your learning to rank model; - test the performance of your model with respect to different metrics. At the end of this milestone, you will make the final submission.
Oct. 25, 2024, midnight
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Sign In# | Username | Score |
---|---|---|
1 | canvas_group_12 | 0.6312 |
2 | Hamid7 | 0.5973 |
3 | Boogle | 0.5713 |