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Leveraging Kernel-Incorporated Matrix Factorization for App Recommendation

https://doi.org/10.1145/3320482

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What this work says

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

inferredcites →https://doi.org/10.1007/978-0-387-85820-3_1openalex-snapshot

Introduction to Recommender Systems Handbook

inferredcites →https://doi.org/10.1007/s10489-018-1375-zopenalex-snapshot

Merging user social network into the random walk model for better group recommendation

inferredcites →https://doi.org/10.1016/j.patcog.2013.03.007openalex-snapshot

Multiple graph regularized nonnegative matrix factorization

inferredcites →https://doi.org/10.1016/j.patrec.2011.01.012openalex-snapshot

Manifold-respecting discriminant nonnegative matrix factorization

inferredcites →https://doi.org/10.1016/j.sigpro.2010.01.019openalex-snapshot

Projected gradient method for kernel discriminant nonnegative matrix factorization and the applications

inferredcites →https://doi.org/10.1109/icdm.2008.16openalex-snapshot

One-Class Collaborative Filtering

inferredcites →https://doi.org/10.1109/icdm.2008.57openalex-snapshot

Non-negative Matrix Factorization on Manifold

inferredcites →https://doi.org/10.1109/icdm.2010.164openalex-snapshot

One-Class Matrix Completion with Low-Density Factorizations

inferredcites →https://doi.org/10.1109/icme.2013.6607584openalex-snapshot

Orthogonal graph-regularized matrix factorization and its application for recommendation

inferredcites →https://doi.org/10.1109/tii.2014.2308433openalex-snapshot

An Efficient Non-Negative Matrix-Factorization-Based Approach to Collaborative Filtering for Recommender Systems

inferredcites →https://doi.org/10.1109/tip.2011.2105496openalex-snapshot

Manifold Regularized Discriminative Nonnegative Matrix Factorization With Fast Gradient Descent

inferredcites →https://doi.org/10.1109/tkde.2012.51openalex-snapshot

Nonnegative Matrix Factorization: A Comprehensive Review

inferredcites →https://doi.org/10.1109/tkde.2013.7openalex-snapshot

Typicality-Based Collaborative Filtering Recommendation

inferredcites →https://doi.org/10.1109/tpami.2010.231openalex-snapshot

Graph Regularized Nonnegative Matrix Factorization for Data Representation

inferredcites →https://doi.org/10.1109/tsmca.2012.2210409openalex-snapshot

Predicting Quality of Service for Selection by Neighborhood-Based Collaborative Filtering

inferredcites →https://doi.org/10.1137/1.9781611972825.35openalex-snapshot

Kernelized Probabilistic Matrix Factorization: Exploiting Graphs and Side Information

inferredcites →https://doi.org/10.1137/1.9781611974348.43openalex-snapshot

Kernelized Matrix Factorization for Collaborative Filtering

inferredcites →https://doi.org/10.1145/1148170.1148257openalex-snapshot

Unifying user-based and item-based collaborative filtering approaches by similarity fusion

inferredcites →https://doi.org/10.1145/1390156.1390267openalex-snapshot

Bayesian probabilistic matrix factorization using Markov chain Monte Carlo

inferredcites →https://doi.org/10.1145/1401890.1401969openalex-snapshot

Relational learning via collective matrix factorization

inferredcites →https://doi.org/10.1145/1772690.1772795openalex-snapshot

Collaborative location and activity recommendations with GPS history data

inferredcites →https://doi.org/10.1145/1869652.1869653openalex-snapshot

Adapting neighborhood and matrix factorization models for context aware recommendation

inferredcites →https://doi.org/10.1145/2339530.2339563openalex-snapshot

GetJar mobile application recommendations with very sparse datasets

inferredcites →https://doi.org/10.1145/2433396.2433446openalex-snapshot

App recommendation

inferredcites →https://doi.org/10.1145/2484028.2484035openalex-snapshot

Addressing cold-start in app recommendation

inferredcites →https://doi.org/10.1145/2556270openalex-snapshot

Collaborative Filtering beyond the User-Item Matrix

inferredcites →https://doi.org/10.1145/2600428.2609560openalex-snapshot

New and improved

inferredcites →https://doi.org/10.1145/2661829.2662042openalex-snapshot

Dual-Regularized One-Class Collaborative Filtering

inferredcites →https://doi.org/10.1145/2684822.2685305openalex-snapshot

SimApp

inferredcites →https://doi.org/10.1145/2983533openalex-snapshot

Structural Analysis of User Choices for Mobile App Recommendation

inferredcites →https://doi.org/10.1145/963770.963774openalex-snapshot

Latent semantic models for collaborative filtering

inferredcites →https://doi.org/10.1609/aaai.v24i1.7664openalex-snapshot

Non-Negative Matrix Factorization Clustering on Multiple Manifolds

inferredcites →https://doi.org/10.1609/aaai.v24i1.7686openalex-snapshot

Bayesian Matrix Factorization with Side Information and Dirichlet Process Mixtures

inferredcites →https://doi.org/10.1609/aaai.v28i1.8714openalex-snapshot

Leveraging Decomposed Trust in Probabilistic Matrix Factorization for Effective Recommendation

inferredcites →https://doi.org/10.48550/arxiv.1205.2618openalex-snapshot

BPR: Bayesian Personalized Ranking from Implicit Feedback

inferredcites →https://doi.org/10.48550/arxiv.1407.7299openalex-snapshot

Algorithms, Initializations, and Convergence for the Nonnegative Matrix Factorization

inferredcites →https://doi.org/10.5244/c.23.9openalex-snapshot

Neighborhood Preserving Nonnegative Matrix Factorization

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s11036-025-02457-6openalex-snapshot

MamTRec: Mamba-Transformer Based Recommendation for Mobile Services in IoT Systems

inferred← citeshttps://doi.org/10.1016/j.asoc.2021.107162openalex-snapshot

Mobile app recommendation via heterogeneous graph neural network in edge computing

inferred← citeshttps://doi.org/10.1016/j.engappai.2021.104494openalex-snapshot

A synchronized heterogeneous autoencoder with feature-level and label-level knowledge distillation for the recommendation

inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121564openalex-snapshot

DDHCN: Dual decoder Hyperformer convolutional network for Downstream-Adaptable user representation learning on app usage

inferred← citeshttps://doi.org/10.1016/j.ins.2022.06.042openalex-snapshot

Statute recommendation: Re-ranking statutes by modeling case-statute relation with interpretable hand-crafted features

inferred← citeshttps://doi.org/10.1016/j.ipm.2020.102384openalex-snapshot

Preliminary data-based matrix factorization approach for recommendation

inferred← citeshttps://doi.org/10.1016/j.jss.2020.110669openalex-snapshot

Similarity-based analyses on software applications: A systematic literature review

inferred← citeshttps://doi.org/10.1016/j.knosys.2019.06.029openalex-snapshot

Multi-view factorization machines for mobile app recommendation based on hierarchical attention

inferred← citeshttps://doi.org/10.1109/comst.2022.3163176openalex-snapshot

Smartphone App Usage Analysis: Datasets, Methods, and Applications

inferred← citeshttps://doi.org/10.1109/tnnls.2022.3182942openalex-snapshot

Kernelized Deep Learning for Matrix Factorization Recommendation System Using Explicit and Implicit Information

inferred← citeshttps://doi.org/10.1109/tsc.2020.3037224openalex-snapshot

Feedback Adaptive Learning for Medical and Educational Application Recommendation

inferred← citeshttps://doi.org/10.1145/3564609openalex-snapshot

Trip Reinforcement Recommendation with Graph-based Representation Learning

inferred← citeshttps://doi.org/10.1145/3582015openalex-snapshot

Multi-Level Visual Similarity Based Personalized Tourist Attraction Recommendation Using Geo-Tagged Photos

inferred← citeshttps://doi.org/10.1145/3673658openalex-snapshot

Heterogeneous Meta-Path Graph Learning for Higher-Order Social Recommendation

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