list-of-listings

List of Listings

 

Chapter 2. Introducing recommenders

Listing 2.1. Recommender input file, intro.csv

Listing 2.2. A simple user-based recommender program with Mahout

Listing 2.3. Configuring and running an evaluation of a recommender

Listing 2.4. Configuring and running a precision and recall evaluation

Listing 2.5. User 5’s preferences in the test data set

Listing 2.6. Changing the evaluation program to run a SlopeOneRecommender

Chapter 3. Representing recommender data

Listing 3.1. Setting preference values in a PreferenceArray

Listing 3.2. Defining input data programmatically with GenericDataModel

Listing 3.3. Triggering a refresh of a recommender system

Listing 3.4. Configuring a JNDI DataSource in Tomcat

Listing 3.5. Configuring a DataSource programmatically

Listing 3.6. Creating and evaluating with Boolean data

Listing 3.7. Evaluating precision and recall with Boolean data

Chapter 4. Making recommendations

Listing 4.1. Revisiting a simple user-based recommender system

Listing 4.2. Updating listing 4.1 to use a custom DataModel for GroupLens

Listing 4.3. Running an evaluation on the simple recommender

Listing 4.4. A simple recommender input file

Listing 4.5. Employing caching with a UserSimilarity implementation

Listing 4.6. The core of a basic item-based recommender

Listing 4.7. Selecting no weighting with a SlopeOneRecommender

Listing 4.8. Creating a JDBC-backed DiffStorage

Listing 4.9. Deploying KnnItemBasedRecommender

Listing 4.10. Creating a cluster-based recommender