Building the revised approach
In this section, we will be using the readily available job recommendation challenge dataset. We have already covered the data attributes of this dataset. We will be using a context-based approach to build the recommendation engine. In order to build the revised approach, we need to perform the following steps. The code for the revised approach is given at this GitHub link: https://github.com/jalajthanaki/Job_recommendation_engine/blob/master/Job_recommendation_engine.ipynb
Let's implement the following steps:
Loading the dataset
Splitting the training and testing datasets
Exploratory data analysis
Building the recommendation engine using the jobs datafile
Loading the dataset
As you know, the dataset is in various files. We need to load all these files. Remember that all the datafiles are in a .tsv format, so we need to use the \t delimiter as a parameter. You can refer to the code snippet shown in the following screenshot:
Figure 6.17: Code snippet for loading the...
