On the public citation graph

Interaction-Rich Transfer Learning for Collaborative Filtering with Heterogeneous User Feedback

https://doi.org/10.1109/mis.2014.2

0 signed · 43 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

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

inferredcites →https://doi.org/10.1016/j.artint.2013.01.003openalex-snapshot

Transfer learning in heterogeneous collaborative filtering domains

inferredcites →https://doi.org/10.1109/cse.2009.75openalex-snapshot

TagRec: Leveraging Tagging Wisdom for Recommendation

inferredcites →https://doi.org/10.1109/tkde.2005.99openalex-snapshot

Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions

inferredcites →https://doi.org/10.1109/tkde.2009.191openalex-snapshot

A Survey on Transfer Learning

inferredcites →https://doi.org/10.1145/138859.138867openalex-snapshot

Using collaborative filtering to weave an information tapestry

inferredcites →https://doi.org/10.1145/1401890.1401944openalex-snapshot

Factorization meets the neighborhood

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

Relational learning via collective matrix factorization

inferredcites →https://doi.org/10.1145/1553374.1553454openalex-snapshot

Transfer learning for collaborative filtering via a rating-matrix generative model

inferredcites →https://doi.org/10.1145/1864708.1864736openalex-snapshot

A matrix factorization technique with trust propagation for recommendation in social networks

inferredcites →https://doi.org/10.1145/2020408.2020426openalex-snapshot

Large-scale matrix factorization with distributed stochastic gradient descent

inferredcites →https://doi.org/10.1145/2168752.2168771openalex-snapshot

Factorization Machines with libFM

inferredcites →https://doi.org/10.1145/2414425.2414440openalex-snapshot

Social temporal collaborative ranking for context aware movie recommendation

inferredcites →https://doi.org/10.1145/2507157.2507176openalex-snapshot

Online multi-task collaborative filtering for on-the-fly recommender systems

inferredcites →https://doi.org/10.21236/ada486804openalex-snapshot

Relational Learning via Collective 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/s10586-017-1161-4openalex-snapshot

A new recommendation algorithm combined with spectral clustering and transfer learning

inferred← citeshttps://doi.org/10.1007/s10586-024-05095-xopenalex-snapshot

BAMF: blockchain-assisted matrix factorization for recommender systems

inferred← citeshttps://doi.org/10.1007/s11042-021-10834-yopenalex-snapshot

Enhanced knowledge transfer for collaborative filtering with multi-source heterogeneous feedbacks

inferred← citeshttps://doi.org/10.1007/s11280-025-01398-0openalex-snapshot

Cross-domain recommender system for non-overlapping domains using clustering-based pattern transfer mechanism

inferred← citeshttps://doi.org/10.1016/j.asoc.2019.105751openalex-snapshot

A Maximum Margin Matrix Factorization based Transfer Learning Approach for Cross-Domain Recommendation

inferred← citeshttps://doi.org/10.1016/j.eswa.2023.119861openalex-snapshot

Cross-domain recommendation with Multi-Auxiliary Domains via Consistent and Selective Cluster-Level Knowledge Transfer

inferred← citeshttps://doi.org/10.1016/j.ins.2015.10.044openalex-snapshot

Mixed factorization for collaborative recommendation with heterogeneous explicit feedbacks

inferred← citeshttps://doi.org/10.1016/j.ins.2026.123340openalex-snapshot

A sparse attention framework for high-dimensional undirected sparse networks

inferred← citeshttps://doi.org/10.1016/j.is.2022.102002openalex-snapshot

A hinge-loss based codebook transfer for cross-domain recommendation with non-overlapping data

inferred← citeshttps://doi.org/10.1016/j.jocs.2022.101677openalex-snapshot

A transfer framework based on co-matrix decomposition for undirected, high-dimensional and sparse networks

inferred← citeshttps://doi.org/10.1016/j.knosys.2021.106946openalex-snapshot

FCMF: Federated collective matrix factorization for heterogeneous collaborative filtering

inferred← citeshttps://doi.org/10.1016/j.knosys.2021.106948openalex-snapshot

Deep sparse autoencoder prediction model based on adversarial learning for cross-domain recommendations

inferred← citeshttps://doi.org/10.1016/j.knosys.2021.107339openalex-snapshot

Double bayesian pairwise learning for one-class collaborative filtering

inferred← citeshttps://doi.org/10.1016/j.neucom.2015.11.059openalex-snapshot

A survey of transfer learning for collaborative recommendation with auxiliary data

inferred← citeshttps://doi.org/10.1016/j.procs.2026.06.278openalex-snapshot

Cross-Domain Recommendation Using Codebook Latent Factors for Sparse Target Domains

inferred← citeshttps://doi.org/10.1088/1742-6596/842/1/012045openalex-snapshot

Topic Correlation Analysis for Bearing Fault Diagnosis Under Variable Operating Conditions

inferred← citeshttps://doi.org/10.1109/access.2017.2739752openalex-snapshot

Social Recommendation With Multiple Influence From Direct User Interactions

inferred← citeshttps://doi.org/10.1109/access.2019.2937896openalex-snapshot

An Improved Matrix Approximation for Recommender Systems Based on Context-Information and Transfer Learning

inferred← citeshttps://doi.org/10.1109/access.2021.3061279openalex-snapshot

Selective Knowledge Transfer for Cross-Domain Collaborative Recommendation

inferred← citeshttps://doi.org/10.1109/icit48603.2022.10002759openalex-snapshot

Latent Factor Learning Under Multiple Rating Patterns for Undirected, Large-Scaled and Sparse Networks

inferred← citeshttps://doi.org/10.1109/icscti.2015.7489629openalex-snapshot

Exploiting rich side information sources of user and items for cross domain collaborative recommendation

inferred← citeshttps://doi.org/10.1109/ijcnn48605.2020.9207062openalex-snapshot

PAT: Preference-Aware Transfer Learning for Recommendation with Heterogeneous Feedback

inferred← citeshttps://doi.org/10.1109/mis.2017.30openalex-snapshot

Collaborative Recommendation with Multiclass Preference Context

inferred← citeshttps://doi.org/10.1109/mis.2020.3017205openalex-snapshot

FedRec: Federated Recommendation With Explicit Feedback

inferred← citeshttps://doi.org/10.1109/tkde.2024.3450469openalex-snapshot

Triple Factorization-Based SNLF Representation With Improved Momentum-Incorporated AGD: A Knowledge Transfer Approach

inferred← citeshttps://doi.org/10.1109/tpami.2019.2894137openalex-snapshot

Heterogeneous Recommendation via Deep Low-rank Sparse Collective Factorization

inferred← citeshttps://doi.org/10.1145/2835497openalex-snapshot

Transfer Learning for Semisupervised Collaborative Recommendation

inferred← citeshttps://doi.org/10.1145/3073565openalex-snapshot

Cross Domain Recommender Systems

inferred← citeshttps://doi.org/10.1145/3243652openalex-snapshot

Transfer to Rank for Heterogeneous One-Class Collaborative Filtering

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.