docs: update README to enhance directory structure and model descriptions #33
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This pull request enhances the
README.md
file in therecsys-candidate-generation
project by adding a detailed directory structure, marking progress on implemented models, and providing in-depth explanations for theTwoTower
andSASRec
models. These updates improve documentation clarity and provide valuable context for contributors.Documentation Enhancements:
README.md
, detailing the purpose of each file and folder in the project. This includes descriptions for configuration files, source code, and result directories. ([recsys-candidate-generation/README.mdR28-R86](https://github.com/haru-256/ml-sandbox/pull/33/files#diff-72906bf319a1de8e444b7ba183d620dfea87bcb9f4e7bb9ea83f540bd2715e19R28-R86)
)Model Implementation Updates:
TwoTower
andSASRec
models as implemented in the model checklist. ([recsys-candidate-generation/README.mdR28-R86](https://github.com/haru-256/ml-sandbox/pull/33/files#diff-72906bf319a1de8e444b7ba183d620dfea87bcb9f4e7bb9ea83f540bd2715e19R28-R86)
)TwoTower
model, including its architecture, training process, and evaluation methodology. ([recsys-candidate-generation/README.mdR28-R86](https://github.com/haru-256/ml-sandbox/pull/33/files#diff-72906bf319a1de8e444b7ba183d620dfea87bcb9f4e7bb9ea83f540bd2715e19R28-R86)
)SASRec
model, explaining its use of Transformer-based self-attention for sequential recommendation, along with its training and prediction processes. ([recsys-candidate-generation/README.mdR28-R86](https://github.com/haru-256/ml-sandbox/pull/33/files#diff-72906bf319a1de8e444b7ba183d620dfea87bcb9f4e7bb9ea83f540bd2715e19R28-R86)
)