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Factorizing Historical User Actions for Next-Day Purchase Prediction

https://doi.org/10.1145/3468227
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-29035-0_4openalex-snapshot
Effective Next-Items Recommendation via Personalized Sequential Pattern Mining
inferredcites →https://doi.org/10.1007/bf00143942openalex-snapshot
Simulation of truncated normal variables
inferredcites →https://doi.org/10.1007/s00521-014-1599-8openalex-snapshot
Increasing recommended effectiveness with markov chains and purchase intervals
inferredcites →https://doi.org/10.1007/s10660-015-9191-6openalex-snapshot
Predicting customer purchase behavior in the e-commerce context
inferredcites →https://doi.org/10.1023/a:1020281327116openalex-snapshot
An Introduction to MCMC for Machine Learning
inferredcites →https://doi.org/10.1109/cvpr.2007.383405openalex-snapshot
Nonnegative Tucker Decomposition
inferredcites →https://doi.org/10.1109/icdm.2002.1184025openalex-snapshot
Using sequential and non-sequential patterns in predictive Web usage mining tasks
inferredcites →https://doi.org/10.1109/icdm.2008.22openalex-snapshot
Collaborative Filtering for Implicit Feedback Datasets
inferredcites →https://doi.org/10.1109/icdm.2010.127openalex-snapshot
Factorization Machines
inferredcites →https://doi.org/10.1109/icdm.2015.71openalex-snapshot
Exploiting Temporal and Social Factors for B2B Marketing Campaign Recommendations
inferredcites →https://doi.org/10.1109/icdmw.2015.172openalex-snapshot
Multi-Classes Feature Engineering with Sliding Window for Purchase Prediction in Mobile Commerce
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1109/mic.2003.1167344openalex-snapshot
Amazon.com recommendations: item-to-item collaborative filtering
inferredcites →https://doi.org/10.1137/1.9781611972801.19openalex-snapshot
Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization
inferredcites →https://doi.org/10.1137/1.9781611976236openalex-snapshot
Proceedings of the 2020 SIAM International Conference on Data Mining
inferredcites →https://doi.org/10.1145/1143844.1143874openalex-snapshot
The relationship between Precision-Recall and ROC curves
inferredcites →https://doi.org/10.1145/1401890.1401944openalex-snapshot
Factorization meets the neighborhood
inferredcites →https://doi.org/10.1145/1718487.1718498openalex-snapshot
Pairwise interaction tensor factorization for personalized tag recommendation
inferredcites →https://doi.org/10.1145/1721654.1721677openalex-snapshot
Collaborative filtering with temporal dynamics
inferredcites →https://doi.org/10.1145/1772690.1772773openalex-snapshot
Factorizing personalized Markov chains for next-basket recommendation
inferredcites →https://doi.org/10.1145/1835449.1835486openalex-snapshot
Temporal diversity in recommender systems
inferredcites →https://doi.org/10.1145/1835804.1835896openalex-snapshot
Temporal recommendation on graphs via long- and short-term preference fusion
inferredcites →https://doi.org/10.1145/1864708.1864721openalex-snapshot
Performance of recommender algorithms on top-n recommendation tasks
inferredcites →https://doi.org/10.1145/1963405.1963453openalex-snapshot
Towards a theory model for product search
inferredcites →https://doi.org/10.1145/2009916.2010002openalex-snapshot
Fast context-aware recommendations with factorization machines
inferredcites →https://doi.org/10.1145/2009916.2010050openalex-snapshot
Utilizing marginal net utility for recommendation in e-commerce
inferredcites →https://doi.org/10.1145/2168752.2168771openalex-snapshot
Factorization Machines with libFM
inferredcites →https://doi.org/10.1145/2187836.2187895openalex-snapshot
Care to comment?
inferredcites →https://doi.org/10.1145/2348283.2348309openalex-snapshot
Increasing temporal diversity with purchase intervals
inferredcites →https://doi.org/10.1145/2484028.2484047openalex-snapshot
Modeling user's receptiveness over time for recommendation
inferredcites →https://doi.org/10.1145/2484028.2484067openalex-snapshot
Opportunity model for e-commerce recommendation
inferredcites →https://doi.org/10.1145/2659480.2659496openalex-snapshot
Utilizing Purchase Intervals in Latent Clusters for Product Recommendation
inferredcites →https://doi.org/10.1145/3109859.3109882openalex-snapshot
Translation-based Recommendation
inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot
Item-based collaborative filtering recommendation algorithms
inferredcites →https://doi.org/10.1145/963770.963774openalex-snapshot
Latent semantic models for collaborative filtering
inferredcites →https://doi.org/10.1201/9780429258411openalex-snapshot
Bayesian Data Analysis
inferredcites →https://doi.org/10.1371/journal.pone.0085777openalex-snapshot
powerlaw: A Python Package for Analysis of Heavy-Tailed Distributions
inferredcites →https://doi.org/10.48550/arxiv.1205.2618openalex-snapshot
BPR: Bayesian Personalized Ranking from Implicit Feedback
inferredcites →https://doi.org/10.48550/arxiv.1301.2320openalex-snapshot
Using Temporal Data for Making Recommendations
inferredcites →https://doi.org/10.48550/arxiv.1511.06939openalex-snapshot
Session-based Recommendations with Recurrent Neural Networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.asoc.2026.114636openalex-snapshot
Shopping recommendation algorithm based on knowledge graph and dynamic association graph model
inferred← citeshttps://doi.org/10.1016/j.elerap.2025.101477openalex-snapshot
Revenue-based personalized product recommendation considering stochastic purchase probability
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.122907openalex-snapshot
Global heterogeneous graph enhanced category-aware attention network for session-based recommendation
inferred← citeshttps://doi.org/10.1016/j.ins.2022.10.049openalex-snapshot
Mining relevant partial periodic pattern of multi-source time series data
inferred← citeshttps://doi.org/10.1109/iciics63763.2024.10859452openalex-snapshot
Optimizing Consumer Insights: Predicting Customer Purchase Behavior by Using Artificial Neural Networks Approach
inferred← citeshttps://doi.org/10.1109/tkde.2025.3630571openalex-snapshot
A3BRec: A Novel Association-Integration Sequential Basket Recommendation
inferred← citeshttps://doi.org/10.1145/3572406openalex-snapshot
Graph Attention Network for Text Classification and Detection of Mental Disorder
inferred← citeshttps://doi.org/10.1145/3577032openalex-snapshot
A Multi-Task Graph Neural Network with Variational Graph Auto-Encoders for Session-Based Travel Packages Recommendation
inferred← citeshttps://doi.org/10.1145/3577034openalex-snapshot
Enhancing Conversational Recommendation Systems with Representation Fusion
inferred← citeshttps://doi.org/10.1145/3624985openalex-snapshot
Edge Caching Placement Strategy based on Evolutionary Game for Conversational Information Seeking in Edge Cloud Computing
inferred← citeshttps://doi.org/10.1145/3773078.3841286openalex-snapshot
Repetition Is Not Enough: Evaluating Repeat Recommendations Through Utility and Timing
inferred← citeshttps://doi.org/10.1145/3812734.3813707openalex-snapshot
Post-Add-to-Cart Purchase Prediction Using Machine Learning
inferred← citeshttps://doi.org/10.22215/etd/2022-15329openalex-snapshot
Graph-based Knowledge Modeling and Analytics for Capturing and Predicting Customer Behaviour
inferred← citeshttps://doi.org/10.2478/amns-2024-2018openalex-snapshot
Research on Prediction of User Repurchase Behavior and Marketing Strategies in Internet Marketing
inferred← citeshttps://doi.org/10.3390/jtaer19040138openalex-snapshot
Cart-State-Aware Discovery of E-Commerce Visitor Journeys with Process Mining
inferred← citeshttps://doi.org/10.7717/peerj-cs.3023openalex-snapshot
Intent-aware knowledge graph-based model for electrical power material recommendation
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