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https://doi.org/10.2139/ssrn.4680113

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inferredcites →https://doi.org/10.1007/978-0-387-85820-3_8openalex-extracted
Evaluating Recommendation Systems
inferredcites →https://doi.org/10.1007/978-3-540-72079-9_10openalex-extracted
Content-Based Recommendation Systems
inferredcites →https://doi.org/10.1007/s10618-020-00730-8openalex-extracted
User preference and embedding learning with implicit feedback for recommender systems
inferredcites →https://doi.org/10.1016/j.dss.2015.03.008openalex-extracted
Recommender system application developments: A survey
inferredcites →https://doi.org/10.1016/j.knosys.2013.03.012openalex-extracted
Recommender systems survey
inferredcites →https://doi.org/10.1016/j.knosys.2015.12.018openalex-extracted
A non negative matrix factorization for collaborative filtering recommender systems based on a Bayesian probabilistic model
inferredcites →https://doi.org/10.1016/j.knosys.2017.08.015openalex-extracted
Semantics-aware Recommender Systems exploiting Linked Open Data and graph-based features
inferredcites →https://doi.org/10.1016/j.knosys.2020.106119openalex-extracted
Tag-informed collaborative topic modeling for cross domain recommendations
inferredcites →https://doi.org/10.1016/j.knosys.2022.109298openalex-extracted
Lexical semantics enhanced neural word embeddings
inferredcites →https://doi.org/10.1016/j.knosys.2023.110854openalex-extracted
KGTN: Knowledge Graph Transformer Network for explainable multi-category item recommendation
inferredcites →https://doi.org/10.1093/comjnl/bxaa044openalex-extracted
Review-Based Recommender Systems: A Proposed Rating Prediction Scheme Using Word Embedding Representation of Reviews
inferredcites →https://doi.org/10.1109/access.2019.2954957openalex-extracted
Contextual Hybrid Session-Based News Recommendation With Recurrent Neural Networks
inferredcites →https://doi.org/10.1109/ialp.2018.8629245openalex-extracted
Simple Vector Representations of E-Commerce Products
inferredcites →https://doi.org/10.1109/icdm.2008.22openalex-extracted
Collaborative Filtering for Implicit Feedback Datasets
inferredcites →https://doi.org/10.1109/ijcnn.2017.7965907openalex-extracted
Music recommendation via heterogeneous information graph embedding
inferredcites →https://doi.org/10.1109/ijcnn.2017.7965908openalex-extracted
Leveraging deep visual features for content-based movie recommender systems
inferredcites →https://doi.org/10.1109/jcdl.2019.00027openalex-extracted
Document Embeddings vs. Keyphrases vs. Terms for Recommender Systems: A Large-Scale Online Evaluation
inferredcites →https://doi.org/10.1109/laweb.2007.4383156openalex-extracted
The Benefit of Using Tag-Based Profiles
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-extracted
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1109/mic.2003.1167344openalex-extracted
Amazon.com recommendations: item-to-item collaborative filtering
inferredcites →https://doi.org/10.1109/mlsp.2016.7738886openalex-extracted
ITEM2VEC: Neural item embedding for collaborative filtering
inferredcites →https://doi.org/10.1109/tkde.2005.99openalex-extracted
Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
inferredcites →https://doi.org/10.1145/1921591.1921595openalex-extracted
Automatic tag recommendation algorithms for social recommender systems
inferredcites →https://doi.org/10.1145/2783258.2788627openalex-extracted
E-commerce in Your Inbox
inferredcites →https://doi.org/10.1145/2939672.2939673openalex-extracted
Collaborative Knowledge Base Embedding for Recommender Systems
inferredcites →https://doi.org/10.1145/2959100.2959160openalex-extracted
Meta-Prod2Vec
inferredcites →https://doi.org/10.1145/2988450.2988454openalex-extracted
Wide & Deep Learning for Recommender Systems
inferredcites →https://doi.org/10.1145/3025171.3025197openalex-extracted
Session-Based Recommendations Using Item Embedding
inferredcites →https://doi.org/10.1145/3184558.3186233openalex-extracted
Semantics-aware Recommender Systems Exploiting Linked Open Data and Graph-based Features
inferredcites →https://doi.org/10.1145/3240323.3240377openalex-extracted
Word2vec applied to recommendation
inferredcites →https://doi.org/10.1145/3383313.3412488openalex-extracted
Neural Collaborative Filtering vs. Matrix Factorization Revisited
inferredcites →https://doi.org/10.1145/3523227.3548486openalex-extracted
Revisiting the Performance of iALS on Item Recommendation Benchmarks
inferredcites →https://doi.org/10.12783/dtcse/cmee2017/19993openalex-extracted
Attr2vec: A Neural Network Based Item Embedding Method
inferredcites →https://doi.org/10.13140/2.1.2393.1847openalex-extracted
Software Framework for Topic Modelling with Large Corpora
inferredcites →https://doi.org/10.18653/v1/d15-1036openalex-extracted
Evaluation methods for unsupervised word embeddings
inferredcites →https://doi.org/10.18653/v1/w16-2507openalex-extracted
Intrinsic Evaluations of Word Embeddings: What Can We Do Better?
inferredcites →https://doi.org/10.21236/ada439541openalex-extracted
Application of Dimensionality Reduction in Recommender System - A Case Study
inferredcites →https://doi.org/10.24963/ijcai.2017/447openalex-extracted
Deep Matrix Factorization Models for Recommender Systems
inferredcites →https://doi.org/10.3115/v1/p14-1023openalex-extracted
Don't count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors
inferredcites →https://doi.org/10.3233/sw-210446openalex-extracted
MIDI2vec: Learning MIDI embeddings for reliable prediction of symbolic music metadata
inferredcites →https://doi.org/10.48550/arxiv.1205.2618openalex-extracted
BPR: Bayesian Personalized Ranking from Implicit Feedback
inferredcites →https://doi.org/10.48550/arxiv.1310.4546openalex-extracted
Distributed Representations of Words and Phrases and their Compositionality
inferredcites →https://doi.org/10.48550/arxiv.1405.4053openalex-extracted
Distributed Representations of Sentences and Documents
inferredcites →https://doi.org/10.48550/arxiv.1511.06939openalex-extracted
Session-based Recommendations with Recurrent Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1606.07154openalex-extracted
E-commerce in Your Inbox: Product Recommendations at Scale
inferredcites →https://doi.org/10.48550/arxiv.1607.07326openalex-extracted
Meta-Prod2Vec - Product Embeddings Using Side-Information for Recommendation
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