• Eigentaste

  • Referenced in 66 articles [sw12451]
  • Eigentaste: A constant time collaborative filtering algorithm. Eigentaste is a collaborative filtering algorithm that uses...
  • EigenRank

  • Referenced in 15 articles [sw33329]
  • EigenRank: A ranking-oriented approach to collaborative filtering. A recommender system must be able ... items, traditional collaborative filtering algorithms are based on predicting the potential ratings that a user ... this paper, we propose a collaborative filtering approach that addresses the item ranking problem directly ... rating values and propose new collaborative filtering algorithms for ranking items based on the preferences...
  • Optspace

  • Referenced in 8 articles [sw12630]
  • noise, and its performance on actual collaborative filtering datasets...
  • fastai

  • Referenced in 7 articles [sw31223]
  • vision, text, tabular, and collab (collaborative filtering) models. For brief examples, see the examples folder...
  • VSRank

  • Referenced in 3 articles [sw33327]
  • Novel Framework for Ranking-Based Collaborative Filtering. Collaborative filtering (CF) is an effective technique addressing...
  • MyMediaLite

  • Referenced in 5 articles [sw13255]
  • most common scenarios in collaborative filtering: rating prediction (e.g. on a scale...
  • AutoRec

  • Referenced in 3 articles [sw29799]
  • AutoRec: Autoencoders Meet Collaborative Filtering. This paper proposes AutoRec, a novel autoencoder framework for collaborative...
  • OBOE

  • Referenced in 3 articles [sw35832]
  • OBOE: Collaborative Filtering for AutoML Model Selection. Algorithm selection and hyperparameter tuning remain ... experts. This paper introduces OBOE, a collaborative filtering method for time-constrained model selection...
  • LightGCN

  • Referenced in 2 articles [sw37571]
  • state-of-the-art for collaborative filtering. Nevertheless, the reasons of its effectiveness for recommendation ... contribute little to the performance of collaborative filtering. Even worse, including them adds ... component in GCN -- neighborhood aggregation -- for collaborative filtering. Specifically, LightGCN learns user and item embeddings ... improvement on average) over Neural Graph Collaborative Filtering (NGCF) -- a state...
  • ProofPeer

  • Referenced in 4 articles [sw30422]
  • artifacts, machine learning applications such as collaborative filtering, and verification and computation that scale with...
  • CLiMF

  • Referenced in 3 articles [sw33326]
  • maximize reciprocal rank with collaborative less-is-more filtering. In this paper we tackle ... individual users. Past work on Collaborative Filtering (CF) has either not addressed the ranking problem ... propose a new CF approach, Collaborative Less-is-More Filtering (CLiMF). In CLiMF the model...
  • TagiCoFi

  • Referenced in 2 articles [sw12929]
  • TagiCoFi: tag informed collaborative filtering. Besides the rating information, an increasing number of modern recommender ... performance, few recommender systems based on collaborative filtering (CF) have employed tagging information to help ... novel framework, called tag informed collaborative filtering (TagiCoFi), to seamlessly integrate tagging information into...
  • SVDFeature

  • Referenced in 2 articles [sw08497]
  • SVDfeature: a toolkit for feature-based collaborative filtering. In this paper we introduce SVDFeature ... machine learning toolkit for feature-based collaborative filtering. SVDFeature is designed to efficiently solve ... capable of both rate prediction and collaborative ranking, and is carefully designed for efficient training...
  • CARES

  • Referenced in 2 articles [sw33322]
  • user. Most recommender systems using collaborative filtering approaches leverage the explicit user ratings to make ... makes recommendations using a ranking-oriented collaborative filtering approach based on users’ access logs, avoiding...
  • BM3D

  • Referenced in 3 articles [sw28266]
  • denoising by sparse 3D transform-domain collaborative filtering Block-matching and 3D filtering (BM3D) algorithm...
  • fastFM

  • Referenced in 3 articles [sw17843]
  • toolbox, despite their great success in collaborative filtering and click-through rate prediction. However, Factorization...
  • Alors

  • Referenced in 1 article [sw19071]
  • algorithm portfolios. This paper presents a collaborative filtering approach to AS. Collaborative filtering, popularized ... selection can be formalized as a collaborative filtering problem, by considering that a problem instance ... this particular instance. Two merits of collaborative filtering (CF) compared to the mainstream algorithm selection...
  • Implicit

  • Referenced in 1 article [sw37578]
  • Implicit: Fast Python Collaborative Filtering for Implicit Datasets. This project provides fast Python implementations ... Squares as described in the papers Collaborative Filtering for Implicit Feedback Datasets and Applications ... Conjugate Gradient Method for Implicit Feedback Collaborative Filtering. Bayesian Personalized Ranking. Logistic Matrix Factorization. Item...
  • Karypis-Lab

  • Referenced in 2 articles [sw06327]
  • parallel processing, data mining, bioinformatics, and collaborative filtering. It is our general policy to make...
  • WSRank

  • Referenced in 2 articles [sw33328]
  • service feedback ranking e.g., rating-oriented collaborative filtering (CF) have been proposed. Traditional CF approaches...