Recommender information retrieval

Information retrieval (VINF) - recommender school project.

Technology stack

• Python 3.5
• Pandas, Numpy, Sklearn libraries
• Elastic Search

About project

Recommend activit or product for users.

Code example

 df = pd.read_csv('train_activity.csv', sep=',', names=dheader)
    n_users = df.user_id.unique().shape[0]
    n_items = df.item_id.unique().shape[0]
    print ('Number of users = ' + str(n_users) + ' | Number of items = ' + str(n_items))
    train_data, test_data = cv.train_test_split(df, test_size=0.25)
    train_data = pd.DataFrame(train_data)
    test_data = pd.DataFrame(test_data)

How to use it

• Install python on local machine
• Download data files (.csv)
• Run one of the following script without any parameters

python3 test.py

python3 main.py

Sources

• Datasource is old dataset from slovak server zlava dna