All Versions
4
Latest Version
Avg Release Cycle
13 days
Latest Release
484 days ago

Changelog History

  • v0.1.3 Changes

    December 21, 2019

    โšก๏ธ This is a minor update of gorse 0.1.2

    ๐Ÿ”‹ Features

    • Storage :
      • Store items with popularity.
      • Store items with dates.
    • Service :
      • List the latest items.
      • Recommend items with a combination of popularity and dates.

    โฌ†๏ธ Upgrade Guide

    • Reimport data

      Export data from old versiongorse export-items database.db items.csv gorse export-feedback database.db feedback.csv# Import data to new versiongorse import-items database.db items.csv gorse import-feedback database.db feedback.csv

  • v0.1.2 Changes

    December 14, 2019

    โšก๏ธ This is a minor update of gorse 0.1.1

    ๐Ÿ”‹ Features

    • ๐Ÿ‘‰ Use string type for user ID and item ID: #23

    โฌ†๏ธ Upgrade Guide

    • Reimport data

      Export data from old versiongorse export-items database.db items.csv gorse export-feedback database.db feedback.csv# Import data to new versiongorse import-items database.db items.csv gorse import-feedback database.db feedback.csv

  • v0.1.1 Changes

    November 24, 2019

    This is a fix version of gorse 0.1

    ๐Ÿ›  Fix

    • ๐Ÿ›  Fix typos in the gorse test command.
    • ๐Ÿ”„ Change KNN type names and similarity names in configurations to lowercase.
    • ๐Ÿ”„ Change default similarity function to implicit for neighbors recommendation.

    โฌ†๏ธ Upgrade Guide

    • ๐Ÿ”„ Change configurations if following names are used:
      • KNN type names: Centered โžก๏ธcentered, ZScore โžก๏ธz_score, Baseline โžก๏ธbaseline
      • similarity names: Pearson โžก๏ธpearson, Cosine โžก๏ธcosine, MSD โžก๏ธmsd
  • v0.1 Changes

    November 13, 2019

    ๐Ÿš€ This is the first released version.

    ๐Ÿ”‹ Features

    • Recommendation Models :
      • KNN (Explicit/Implicit)
      • CoClustering
      • SlopeOne
      • SVD
      • SVD++
      • NMF
      • ItemPop
      • BPR
      • WRMF
    • Dateset Utils :
      • Load data from buildt-in datasets or CSV files
      • Split data by k-fold or ratio
    • Model Evaluation Utils :
      • Evaluate models by rating metrics: MAE/RMSE
      • Evaluate models by ranking metrics: Precision/Recall/NDCG/MAP/MRR
    • RESTful Recommender Service :
      • Provide RESTful API
      • Store and manage feedvack based on BoltDB
      • Fit model and generate recommendations for each user
    • CLI tools :
      • Data import/export tools for recommender server
      • Model evaluator