Add README.md

aicrowd.json

 {
-    "challenge_id": "user-behavior-alignment",
-    "authors": [
-      "aicrowd-bot"
-    ],
-    "gpu": true,
-    "description": "(optional) description about your awesome agent"
+  "challenge_id": "amazon-kdd-cup-24-understanding-shopping-concepts",
+  "authors": [
+    "your-aicrowd-username"
+  ],
+  "gpu": false,
+  "description": "(optional) description about your custom model"
 }
\ No newline at end of file

docs/runtime.md

+## Adding your runtime
+
+This repository is a valid submission (and submission structure). 
+You can simply add your dependencies on top of this repository.
+
+Few of the most common ways are as follows:
+
+* `requirements.txt` -- The `pip3` packages used by your inference code. As you add new pip3 packages to your inference procedure either manually add them to `requirements.txt` or if your software runtime is simple, perform:
+    ```
+    # Put ALL of the current pip3 packages on your system in the submission
+    >> pip3 freeze >> requirements.txt
+    >> cat requirements.txt
+    aicrowd_api
+    coloredlogs
+    matplotlib
+    pandas
+    [...]
+    ```
+
+* `apt.txt` -- The Debian packages (via aptitude) used by your inference code!
+
+These files are used to construct your **AIcrowd submission docker containers** in which your code will run.
+
+* `Dockerfile` -- **For advanced users only**. `Dockerfile` gives you more flexibility on defining the software runtime used during evaluations.
+
+----
+
+To test your image builds locally, you can use [repo2docker](https://github.com/jupyterhub/repo2docker)

docs/submission.md

+# Making submission
+
+This file will help you in making your first submission.
+
+
+## Submission Entrypoint
+
+The evaluator will create an instance of a Model specified in from `models/user_config.py` to run the evaluation. 
+
+## Setting up SSH keys
+
+You will have to add your SSH Keys to your GitLab account by going to your profile settings [here](https://gitlab.aicrowd.com/profile/keys). If you do not have SSH Keys, you will first need to [generate one](https://docs.gitlab.com/ee/ssh/README.html#generating-a-new-ssh-key-pair).
+
+
+### IMPORTANT: Checking in your Models before submission!
+
+Before you submit make sure that you have saved your models, which are needed by your inference code.
+Lnowing your model weights will be significantly large files, you can use `git-lfs` to upload them. More details [here](https://discourse.aicrowd.com/t/how-to-upload-large-files-size-to-your-submission/2304). 
+
+**Note**: If you check in your models directly into your git repo **without** using `git-lfs`, you may see errors like: 
+- `fatal: the remote end hung up unexpectedly`
+- `remote: fatal: pack exceeds maximum allowed size`
+
+Sometimes, the reason could also be a large file checked in directly into git, and even if not available in current working directory, but present in git history.
+If that happens, please ensure the model is also removed from git history, and then check in the model again using `git-lfs`. 
+
+## How to submit your code?
+
+You can create a submission by making a _tag push_ to your repository on [https://gitlab.aicrowd.com/](https://gitlab.aicrowd.com/).
+**Any tag push (where the tag name begins with "submission-") to your private repository is considered as a submission**
+
+```bash
+cd amazon-kdd-cup-2024-starter-kit
+
+# Add AIcrowd git remote endpoint
+git remote add aicrowd git@gitlab.aicrowd.com:<YOUR_AICROWD_USER_NAME>/amazon-kdd-cup-2024-starter-kit.git 
+git push aicrowd master
+```
+
+```bash
+
+# Commit All your changes
+git commit -am "My commit message"
+
+# Create a tag for your submission and push
+git tag -am "submission-v0.1" submission-v0.1
+git push aicrowd master
+git push aicrowd submission-v0.1
+
+# Note : If the contents of your repository (latest commit hash) does not change,
+# then pushing a new tag will **not** trigger a new evaluation.
+```
+
+You now should be able to see the details of your submission at:
+`https://gitlab.aicrowd.com/<YOUR_AICROWD_USER_NAME>/amazon-kdd-cup-2024-starter-kit/issues`
+
+**NOTE**: Please remember to update your username instead of `<YOUR_AICROWD_USER_NAME>` in the above link
\ No newline at end of file

utilities/_Dockerfile

+## This is an example Dokerfile you can change to make submissions on aicrowd
+## To use it, place it in the base of the repo, and remove the underscore (_) from the filename
+
+FROM nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu20.04
+
+ENV DEBIAN_FRONTEND=noninteractive
+
+COPY apt.txt /tmp/apt.txt
+RUN apt -qq update && apt -qq install -y --no-install-recommends `cat /tmp/apt.txt` \
+ && rm -rf /var/cache/*
+RUN apt install -y locales wget
+
+# Unicode support:
+RUN locale-gen en_US.UTF-8
+ENV LANG en_US.UTF-8
+ENV LANGUAGE en_US:en
+ENV LC_ALL en_US.UTF-8
+
+# Create user home directory - This is needed for aicrowd submissions
+ENV USER_NAME aicrowd 
+ENV HOME_DIR /home/$USER_NAME
+
+# Replace HOST_UID/HOST_GUID with your user / group id
+ENV HOST_UID 1001
+ENV HOST_GID 1001
+
+# Use bash as default shell, rather than sh
+ENV SHELL /bin/bash
+
+# Set up user
+RUN adduser --disabled-password \
+    --gecos "Default user" \
+    --uid ${HOST_UID} \
+    ${USER_NAME}
+
+USER ${USER_NAME}
+WORKDIR ${HOME_DIR}
+
+ENV CONDA_DIR ${HOME_DIR}/.conda
+
+
+RUN wget -nv -O miniconda.sh https://repo.anaconda.com/miniconda/Miniconda3-py38_22.11.1-1-Linux-x86_64.sh \
+ && bash miniconda.sh -b -p ${CONDA_DIR} \
+ && . ${CONDA_DIR}/etc/profile.d/conda.sh \
+ && conda clean -y -a \
+ && rm -rf miniconda.sh
+
+ENV PATH ${CONDA_DIR}/bin:${PATH}
+
+RUN conda install cmake -y && conda clean -y -a
+COPY --chown=1001:1001 requirements.txt ${HOME_DIR}/requirements.txt
+RUN pip install -r requirements.txt --no-cache-dir
+
+COPY --chown=1001:1001 . ${HOME_DIR}
+
+## Add your custom commands below