For this entire chapter, we used a content-based approach in order to develop a job recommendation engine, and you learned how to scrap the dataset and build the baseline job recommendation engine. After that, we explored another dataset. For the revised and best approach, we used the readily available dataset. During the course of the development of the revised approach, we considered the metadata of jobs, and built a recommendation system that works quite well. For the best approach, we tried to find out similar user profiles. Based on the user's profile, we suggested jobs to the group of users.
In the next chapter, we will be building a summarization application. There, we will take a look at documents for the medical domain and try to summarize them. We will use deep-learning algorithms in order to build an application. So, keep reading!