A C library for product recommendations/suggestions using collaborative filtering (CF).
Recommender analyzes the feedback of some users (implicit and explicit) and their preferences for some items. It learns patterns and predicts the most suitable products for a particular user.
- Collaborative Filtering
- User and Item based recommenders
- No external dependencies
- Fast running time ~ 81 seconds for 10 million ratings (on MovieLens Data Sets)
- Memory footprint under 160 MB for 10 million ratings
To compile Recommender:
The compilation will produce libRecommender.a
To compile an example:
gcc test/test.c src/libRecommender.a -lm -o test/t1 -I src/
Alternatively you can use clang
clang test/test.c src/libRecommender.a -lm -o test/t1 -I src/
Collaborative filtering, recommender system