On the public citation graph
Simple Vector Representations of E-Commerce Products
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1021/acs.chemmater.7b03500openalex-snapshot
Materials Synthesis Insights from Scientific Literature via Text Extraction and Machine Learning
inferredcites →https://doi.org/10.1109/icci-cc.2015.7259377openalex-snapshot
Support vector machines and Word2vec for text classification with semantic features
inferredcites →https://doi.org/10.1109/mlsp.2016.7738886openalex-snapshot
ITEM2VEC: Neural item embedding for collaborative filtering
inferredcites →https://doi.org/10.13140/2.1.2393.1847openalex-snapshot
Software Framework for Topic Modelling with Large Corpora
inferredcites →https://doi.org/10.18653/v1/s17-2088openalex-snapshot
SemEval-2017 Task 4: Sentiment Analysis in Twitter
inferredcites →https://doi.org/10.3115/v1/d14-1181openalex-snapshot
Convolutional Neural Networks for Sentence Classification
inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot
AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot
Scikit-learn: Machine Learning in Python
inferredcites →https://doi.org/10.48550/arxiv.1301.3781openalex-snapshot
Efficient Estimation of Word Representations in Vector Space
inferredcites →https://doi.org/10.48550/arxiv.1309.4168openalex-snapshot
Exploiting Similarities among Languages for Machine Translation
inferredcites →https://doi.org/10.48550/arxiv.1310.4546openalex-snapshot
Distributed Representations of Words and Phrases and their Compositionality
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1507.07998openalex-snapshot
Document Embedding with Paragraph Vectors
inferredcites →https://doi.org/10.48550/arxiv.1801.09536openalex-snapshot
A Survey of Word Embeddings Evaluation Methods
inferredcites →https://doi.org/10.48550/arxiv.1803.00202openalex-snapshot
Collaborative Metric Learning Recommendation System: Application to Theatrical Movie Releases
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-21689-3_35openalex-snapshot
Interact2Vec: Neural Item and User Embedding for Collaborative Filtering
inferred← citeshttps://doi.org/10.37745/ejcsit.2013/vol13n16107119openalex-snapshot
The Visual Revolution: Integrating Advanced AI Technologies for Seamless Product Discovery and Intelligent Fulfillment Operations
inferred← citeshttps://doi.org/10.5753/jbcs.2025.5426openalex-snapshot
Beyond Recommendations: Intrinsic Evaluation Strategies for Item Embeddings in Recommender Systems
inferred← citeshttps://doi.org/10.5753/webmedia.2024.243199openalex-snapshot
Why Ignore Content? A Guideline for Intrinsic Evaluation of Item Embeddings for Collaborative Filtering
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