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Two Recommender Systems based on a movie dataset. Non-Personalised and Personalised (Item Based Collaborative Filtering).

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NP
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RecommenderSystems

College project investigating Recommender Systems.

Based on a movie dataset from https://movielens.org/

1. Non-Personalised

2. Personalised (Item Based Collaborative Filtering)

Environment provided by lecturer. Following classes written by me:

NP

Similarity Metrics

./NP/src/alg/np/similarity/metric/RatingMetric.java

./NP/src/alg/np/similarity/metric/IncConfidenceMetric.java

./NP/src/alg/np/similarity/metric/GenomeMetric.java

Runnables

./NP/src/alg/np/ExecuteNP_Expt.java

ICBF

Similarity Metrics

./ICBF/src/similarity/metric/CosineMetric.java

./ICBF/src/similarity/metric/MeanSquaredDifferenceMetric.java

./ICBF/src/similarity/metric/PearsonMetric.java

./ICBF/src/similarity/metric/PearsonSigWeightingMetric.java

Neighbourhoods

./ICBF/src/alg/ib/neighbourhood/NearestNeighbourhood.java

./ICBF/src/alg/ib/neighbourhood/ThresholdNeighbourhood.java

Predictors

./ICBF/src/alg/ib/predictor/SimpleAveragePredictor.java

./ICBF/src/alg/ib/predictor/WeightedAveragePredictor.java

./ICBF/src/alg/ib/predictor/DeviationFromItemMeanPredictor.java

Runnables

./ICBF/src/alg/ib/ExecuteIB_Expt_1.java

./ICBF/src/alg/ib/ExecuteIB_Expt_2.java

./ICBF/src/alg/ib/ExecuteIB_Expt_3.java

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Two Recommender Systems based on a movie dataset. Non-Personalised and Personalised (Item Based Collaborative Filtering).

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