Man pages for byapparov/recommender
Provides functions for collaborative filtering
| adjustSimMatrix | A function that applies a weighting factor to the columns of... |
| calculateConnectionMatrix | Calculates for each UID the connection as a list of two... |
| combineSimilarity | Combined similarity to given products |
| connectionsToCounts | Calculates the connections matrix given the pair of orders |
| connectOrderMapping | The function that drills in each order and associates the... |
| cosineCpp | Calculates cosine similarity matrix for a given matix |
| cosineMatrix | Cosine similarity transformation for product hits |
| excludeSame | Filter out products that were seen by visitor |
| expandHits | Expand visitor product hits data to dataset for prediction |
| getComplimentaryProducts | Function to return complimentary product recommendations |
| getNextOrderTopTypes | The function that return the n nearest types to the given... |
| getProductGroupAffinities | Given a list of transactions the post order affinity table is... |
| keepOnePerGroup | Gets top value per group |
| makeRecommendationsFilter | Create filter function to reduce number of recommendations to... |
| notInWhich | Creates permutation index for exclusion of values |
| recommendComplimentaryProducts | Recommend products in item-to-item scenario |
| recommendSimilar | Recommends products similar to given products |
| recommendSimilarProducts | Recommend similar products to visitors based on product... |
| similarity | Makes similarity score predictions based on the... |
| similarity.predictor | Predicts similarity score for new product hits data |
| similarityRecommender | Factory for the similarity recommendation model |
| similarity.recommender-class | S4 class that represents similar products recommendation... |
| simplify.transactions | Simplify two vector lists |
| userProductHitsToMatrix | Turns interactions data table into a matrix |
