On the public citation graph
Cross-Platform App Recommendation by Jointly Modeling Ratings and Texts
0 signed · 177 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.
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known work and none has been retracted — and get a dated CiteStamped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.
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_5openalex-snapshot
Advances in Collaborative Filtering
inferredcites →https://doi.org/10.1007/978-1-4899-7637-6openalex-snapshot
Recommender Systems Handbook
inferredcites →https://doi.org/10.1007/978-3-642-16898-7openalex-snapshot
Context-Aware Ranking with Factorization Models
inferredcites →https://doi.org/10.1007/978-3-642-45068-6_38openalex-snapshot
Serendipitous Recommendation for Mobile Apps Using Item-Item Similarity Graph
inferredcites →https://doi.org/10.1016/j.eswa.2012.02.131openalex-snapshot
Which App? A recommender system of applications in markets: Implementation of the service for monitoring users’ interaction
inferredcites →https://doi.org/10.1016/j.ins.2011.01.005openalex-snapshot
Personalized recommendation of popular blog articles for mobile applications
inferredcites →https://doi.org/10.1016/j.ins.2013.08.034openalex-snapshot
Personalized news recommendation via implicit social experts
inferredcites →https://doi.org/10.1023/a:1007617005950openalex-snapshot
Unsupervised Learning by Probabilistic Latent Semantic Analysis
inferredcites →https://doi.org/10.1109/icdm.2008.22openalex-snapshot
Collaborative Filtering for Implicit Feedback Datasets
inferredcites →https://doi.org/10.1109/icdm.2012.31openalex-snapshot
Mining Personal Context-Aware Preferences for Mobile Users
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1109/tcyb.2014.2349954openalex-snapshot
Popularity Modeling for Mobile Apps: A Sequential Approach
inferredcites →https://doi.org/10.1109/tkde.2008.110openalex-snapshot
Using Context to Improve Predictive Modeling of Customers in Personalization Applications
inferredcites →https://doi.org/10.1109/tkde.2015.2432811openalex-snapshot
Social Recommendation with Cross-Domain Transferable Knowledge
inferredcites →https://doi.org/10.1142/s0219622013500077openalex-snapshot
A SURVEY OF CONTEXT-AWARE MOBILE RECOMMENDATIONS
inferredcites →https://doi.org/10.1145/1055709.1055714openalex-snapshot
Incorporating contextual information in recommender systems using a multidimensional approach
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/10.1145/1454008.1454049openalex-snapshot
Matrix factorization and neighbor based algorithms for the netflix prize problem
inferredcites →https://doi.org/10.1145/1458082.1458202openalex-snapshot
Modeling hidden topics on document manifold
inferredcites →https://doi.org/10.1145/1639714.1639764openalex-snapshot
Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systems
inferredcites →https://doi.org/10.1145/1721654.1721677openalex-snapshot
Collaborative filtering with temporal dynamics
inferredcites →https://doi.org/10.1145/1864708.1864721openalex-snapshot
Performance of recommender algorithms on top-n recommendation tasks
inferredcites →https://doi.org/10.1145/2009916.2009961openalex-snapshot
Functional matrix factorizations for cold-start recommendation
inferredcites →https://doi.org/10.1145/2009916.2010002openalex-snapshot
Fast context-aware recommendations with factorization machines
inferredcites →https://doi.org/10.1145/2020408.2020480openalex-snapshot
Collaborative topic modeling for recommending scientific articles
inferredcites →https://doi.org/10.1145/2037661.2037665openalex-snapshot
Recommendation systems with complex constraints
inferredcites →https://doi.org/10.1145/2043932.2043940openalex-snapshot
Generalizing matrix factorization through flexible regression priors
inferredcites →https://doi.org/10.1145/2339530.2339563openalex-snapshot
GetJar mobile application recommendations with very sparse datasets
inferredcites →https://doi.org/10.1145/2484028.2484035openalex-snapshot
Addressing cold-start in app recommendation
inferredcites →https://doi.org/10.1145/2484028.2484122openalex-snapshot
Interoperability ranking for mobile applications
inferredcites →https://doi.org/10.1145/2488388.2488441openalex-snapshot
Personalized recommendation via cross-domain triadic factorization
inferredcites →https://doi.org/10.1145/2507157.2507163openalex-snapshot
Hidden factors and hidden topics
inferredcites →https://doi.org/10.1145/2559157openalex-snapshot
Learning to Recommend Descriptive Tags for Questions in Social Forums
inferredcites →https://doi.org/10.1145/2559169openalex-snapshot
Cost-Aware Collaborative Filtering for Travel Tour Recommendations
inferredcites →https://doi.org/10.1145/2566486.2567975openalex-snapshot
Comment-based multi-view clustering of web 2.0 items
inferredcites →https://doi.org/10.1145/2600428.2609558openalex-snapshot
Predicting the popularity of web 2.0 items based on user comments
inferredcites →https://doi.org/10.1145/2600428.2609579openalex-snapshot
Explicit factor models for explainable recommendation based on phrase-level sentiment analysis
inferredcites →https://doi.org/10.1145/2623330.2623657openalex-snapshot
Matching users and items across domains to improve the recommendation quality
inferredcites →https://doi.org/10.1145/2623330.2623705openalex-snapshot
Mobile app recommendations with security and privacy awareness
inferredcites →https://doi.org/10.1145/2645710.2645728openalex-snapshot
Ratings meet reviews, a combined approach to recommend
inferredcites →https://doi.org/10.1145/2684822.2685322openalex-snapshot
Personalized Mobile App Recommendation
inferredcites →https://doi.org/10.1145/2911451.2911489openalex-snapshot
Fast Matrix Factorization for Online Recommendation with Implicit Feedback
inferredcites →https://doi.org/10.1145/2988450.2988454openalex-snapshot
Wide & Deep Learning for Recommender Systems
inferredcites →https://doi.org/10.1145/312624.312649openalex-snapshot
Probabilistic latent semantic indexing
inferredcites →https://doi.org/10.1145/312624.312682openalex-snapshot
An algorithmic framework for performing collaborative filtering
inferredcites →https://doi.org/10.1145/3130348.3130370openalex-snapshot
Probabilistic Latent Semantic Indexing
inferredcites →https://doi.org/10.1145/3130348.3130372openalex-snapshot
An Algorithmic Framework for Performing Collaborative Filtering
inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot
Item-based collaborative filtering recommendation algorithms
inferredcites →https://doi.org/10.1145/564376.564421openalex-snapshot
Methods and metrics for cold-start recommendations
inferredcites →https://doi.org/10.1145/963770.963774openalex-snapshot
Latent semantic models for collaborative filtering
inferredcites →https://doi.org/10.1162/neco.2007.19.10.2756openalex-snapshot
Projected Gradient Methods for Nonnegative Matrix Factorization
inferredcites →https://doi.org/10.1609/aaai.v24i1.7577openalex-snapshot
Collaborative Filtering Meets Mobile Recommendation: A User-Centered Approach
inferredcites →https://doi.org/10.1609/aaai.v28i1.8715openalex-snapshot
TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation
inferredcites →https://doi.org/10.1609/aaai.v29i1.9158openalex-snapshot
COT: Contextual Operating Tensor for Context-Aware Recommender Systems
inferredcites →https://doi.org/10.1609/aimag.v32i3.2364openalex-snapshot
Context‐Aware Recommender Systems
inferredcites →https://doi.org/10.48550/arxiv.1205.2618openalex-snapshot
BPR: Bayesian Personalized Ranking from Implicit Feedback
inferredcites →https://doi.org/10.48550/arxiv.1206.5267openalex-snapshot
Collaborative Filtering and the Missing at Random Assumption
inferredcites →https://doi.org/10.48550/arxiv.1301.7363openalex-snapshot
Empirical Analysis of Predictive Algorithms for Collaborative Filtering
inferredcites →https://doi.org/10.48550/arxiv.1511.06443openalex-snapshot
Neural Network Matrix Factorization
inferredcites →https://doi.org/10.5555/599609.599631openalex-snapshot
Unsupervised Learning by Probabilistic Latent Semantic Analysis
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/spe.3015openalex-snapshot
A method to acquire cross‐domain requirements based on Syntax Direct Technique
inferred← citeshttps://doi.org/10.1007/978-3-030-05710-7_45openalex-snapshot
Exploiting Incidence Relation Between Subgroups for Improving Clustering-Based Recommendation Model
inferred← citeshttps://doi.org/10.1007/978-3-030-62005-9_10openalex-snapshot
User Profile Linkage Across Multiple Social Platforms
inferred← citeshttps://doi.org/10.1007/978-3-031-56060-6_24openalex-snapshot
Large Language Models are Zero-Shot Rankers for Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-87588-5_2openalex-snapshot
Semantic Enhanced Video Moment Localization
inferred← citeshttps://doi.org/10.1007/978-3-032-23314-1_11openalex-snapshot
Polarity-Driven Ensemble Framework for Online Fake Reviews Detection
inferred← citeshttps://doi.org/10.1007/978-981-16-6471-7_28openalex-snapshot
MAKG: A Mobile Application Knowledge Graph for the Research of Cybersecurity
inferred← citeshttps://doi.org/10.1007/978-981-19-4549-6_29openalex-snapshot
MR-LGC: A Mobile Application Recommendation Based on Light Graph Convolution Networks
inferred← citeshttps://doi.org/10.1007/978-981-97-5594-3_35openalex-snapshot
Fusion of Multi-modal Information of User Profile Across Social Networks for User Identification
inferred← citeshttps://doi.org/10.1007/978-981-99-9562-2_27openalex-snapshot
Detection of Fake Reviews in Yelp Dataset Using Machine Learning and Chain Classifier Approach
inferred← citeshttps://doi.org/10.1007/s00500-020-05397-3openalex-snapshot
Recommendation system based on semantic scholar mining and topic modeling on conference publications
inferred← citeshttps://doi.org/10.1007/s00521-021-05705-4openalex-snapshot
AutoFM: an efficient factorization machine model via probabilistic auto-encoders
inferred← citeshttps://doi.org/10.1007/s10115-020-01440-9openalex-snapshot
CAMAR: a broad learning based context-aware recommender for mobile applications
inferred← citeshttps://doi.org/10.1007/s10462-020-09873-yopenalex-snapshot
Review text based rating prediction approaches: preference knowledge learning, representation and utilization
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/10.1007/s11042-023-16945-yopenalex-snapshot
Dynamic interest modeling via dual learning for recommendation
inferred← citeshttps://doi.org/10.1007/s11280-021-00882-7openalex-snapshot
EEUPL: Towards effective and efficient user profile linkage across multiple social platforms
inferred← citeshttps://doi.org/10.1016/j.aei.2020.101090openalex-snapshot
AICF: Attention-based item collaborative filtering
inferred← citeshttps://doi.org/10.1016/j.asoc.2026.115749openalex-snapshot
Integrating large language model and graph neural network for knowledge graph-based multi-source recommender system
inferred← citeshttps://doi.org/10.1016/j.dss.2020.113248openalex-snapshot
mHealth App recommendation based on the prediction of suitable behavior change techniques
inferred← citeshttps://doi.org/10.1016/j.elerap.2020.101017openalex-snapshot
Serendipity adjustable application recommendation via joint disentangled recurrent variational auto-encoder
inferred← citeshttps://doi.org/10.1016/j.engappai.2019.103374openalex-snapshot
A point-of-interest suggestion algorithm in Multi-source geo-social networks
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.110543openalex-snapshot
A large-scale mobile application knowledge graph for the research of cybersecurity: Construction and application
inferred← citeshttps://doi.org/10.1016/j.eswa.2021.116240openalex-snapshot
Deep multi-graph neural networks with attention fusion for recommendation
inferred← citeshttps://doi.org/10.1016/j.infsof.2025.107753openalex-snapshot
A systematic literature review on task recommendation systems for crowdsourced software engineering
inferred← citeshttps://doi.org/10.1016/j.ins.2024.121817openalex-snapshot
Enhancing mobile app recommendations through adaptive fusion of long-term stability and short-term interests
inferred← citeshttps://doi.org/10.1016/j.jocs.2018.04.001openalex-snapshot
A privacy-preserving mobile application recommender system based on trust evaluation
inferred← citeshttps://doi.org/10.1016/j.knosys.2018.01.003openalex-snapshot
Dual-regularized matrix factorization with deep neural networks for recommender systems
inferred← citeshttps://doi.org/10.1016/j.knosys.2018.03.025openalex-snapshot
On the predictive analysis of behavioral massive job data using embedded clustering and deep recurrent neural networks
inferred← citeshttps://doi.org/10.1016/j.knosys.2018.11.005openalex-snapshot
Item orientated recommendation by multi-view intact space learning with overlapping
inferred← citeshttps://doi.org/10.1016/j.knosys.2019.02.013openalex-snapshot
Multi-criteria active deep learning for image classification
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/10.1016/j.knosys.2023.110438openalex-snapshot
Enhancing review-based user representation on learned social graph for recommendation
inferred← citeshttps://doi.org/10.1016/j.patter.2020.100023openalex-snapshot
Global and Local Tensor Factorization for Multi-criteria Recommender System
inferred← citeshttps://doi.org/10.1108/el-09-2022-0210openalex-snapshot
A cross-platform recommendation system from Facebook to Instagram
inferred← citeshttps://doi.org/10.1108/ijwis-10-2023-0205openalex-snapshot
TN-MR: topic-aware neural network-based mobile application recommendation
inferred← citeshttps://doi.org/10.1109/access.2018.2883377openalex-snapshot
Next-App Prediction by Fusing Semantic Information With Sequential Behavior
inferred← citeshttps://doi.org/10.1109/access.2018.2890388openalex-snapshot
Scientific Paper Recommendation: A Survey
inferred← citeshttps://doi.org/10.1109/access.2019.2916938openalex-snapshot
NASM: Nonlinearly Attentive Similarity Model for Recommendation System via Locally Attentive Embedding
inferred← citeshttps://doi.org/10.1109/access.2019.2918325openalex-snapshot
Enhancing Mobile App User Understanding and Marketing With Heterogeneous Crowdsourced Data: A Review
inferred← citeshttps://doi.org/10.1109/access.2019.2940644openalex-snapshot
A Medical-History-Based Potential Disease Prediction Algorithm
inferred← citeshttps://doi.org/10.1109/access.2020.3029262openalex-snapshot
Common but Innovative: Learning Features From Apps in Different Domains
inferred← citeshttps://doi.org/10.1109/access.2020.3046654openalex-snapshot
A Novel Context-Aware Mobile Application Recommendation Approach Based on Users Behavior Trajectories
inferred← citeshttps://doi.org/10.1109/access.2021.3127201openalex-snapshot
Application of Intelligent Recommendation for Agricultural Information: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1109/access.2023.3276988openalex-snapshot
Social Recommendation for Social Networks Using Deep Learning Approach: A Systematic Review, Taxonomy, Issues, and Future Directions
inferred← citeshttps://doi.org/10.1109/bigdata59044.2023.10386764openalex-snapshot
MIAE: A Mobile Application Recommendation Method Based on a NTK Model
inferred← citeshttps://doi.org/10.1109/cscwd49262.2021.9437849openalex-snapshot
A Review Construction-based Approach to Collaborative Filtering
inferred← citeshttps://doi.org/10.1109/cscwd68734.2026.11582388openalex-snapshot
ASN-MR: Adaptive Spectral Cross-Modality Fusion Network for Mobile Application Recommendation
inferred← citeshttps://doi.org/10.1109/icbk.2017.30openalex-snapshot
TLRec:Transfer Learning for Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1109/icdmw.2018.00185openalex-snapshot
A Novel Learning Approach to Improve Mobile Application Recommendation Diversity
inferred← citeshttps://doi.org/10.1109/icesc51422.2021.9532677openalex-snapshot
Social Network Big Data Mining Method based on MapReduce
inferred← citeshttps://doi.org/10.1109/icict57646.2023.10134122openalex-snapshot
A Survey on Recommendation System for Future Researchers Using Classifiers
inferred← citeshttps://doi.org/10.1109/icws49710.2020.00025openalex-snapshot
MR-UI: A Mobile Application Recommendation Based on User Interaction
inferred← citeshttps://doi.org/10.1109/ijcnn48605.2020.9207424openalex-snapshot
IO-aware Factorization Machine for User Response Prediction
inferred← citeshttps://doi.org/10.1109/msn48538.2019.00059openalex-snapshot
Trust-Aware Group Recommendation with Attention Mechanism in Social Network
inferred← citeshttps://doi.org/10.1109/tale62452.2024.10834324openalex-snapshot
Course Recommendation System Based on Course Knowledge Graph Generated by Large Language Models
inferred← citeshttps://doi.org/10.1109/tcss.2018.2878866openalex-snapshot
Leveraging Online Word of Mouth for Personalized App Recommendation
inferred← citeshttps://doi.org/10.1109/tcss.2022.3151822openalex-snapshot
Joint Multi-Grained Popularity-Aware Graph Convolution Collaborative Filtering for Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2018.2831682openalex-snapshot
NAIS: Neural Attentive Item Similarity Model for Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2019.2936475openalex-snapshot
Social-Enhanced Attentive Group Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2021.3098702openalex-snapshot
Cross-platform Item Recommendation for Online Social E-Commerce
inferred← citeshttps://doi.org/10.1111/coin.12231openalex-snapshot
Stance detection and mobile app recommendation discourse on tweets
inferred← citeshttps://doi.org/10.1145/3077136.3080777openalex-snapshot
Neural Factorization Machines for Sparse Predictive Analytics
inferred← citeshttps://doi.org/10.1145/3077136.3080779openalex-snapshot
Embedding Factorization Models for Jointly Recommending Items and User Generated Lists
inferred← citeshttps://doi.org/10.1145/3209978.3209998openalex-snapshot
Attentive Group Recommendation
inferred← citeshttps://doi.org/10.1145/3209978.3210003openalex-snapshot
Attentive Moment Retrieval in Videos
inferred← citeshttps://doi.org/10.1145/3219819.3220086openalex-snapshot
Multi-Pointer Co-Attention Networks for Recommendation
inferred← citeshttps://doi.org/10.1145/3226116.3226124openalex-snapshot
Multi-interactive deep matrix factorization model based on auxiliary information
inferred← citeshttps://doi.org/10.1145/3243652openalex-snapshot
Transfer to Rank for Heterogeneous One-Class Collaborative Filtering
inferred← citeshttps://doi.org/10.1145/3309546openalex-snapshot
Attentive Aspect Modeling for Review-Aware Recommendation
inferred← citeshttps://doi.org/10.1145/3314578openalex-snapshot
Deep Item-based Collaborative Filtering for Top-N Recommendation
inferred← citeshttps://doi.org/10.1145/3352592openalex-snapshot
Enhancing Personalized Recommendation by Implicit Preference Communities Modeling
inferred← citeshttps://doi.org/10.1145/3357154openalex-snapshot
Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering
inferred← citeshttps://doi.org/10.1145/3357384.3358116openalex-snapshot
Data Poisoning Attacks on Cross-domain Recommendation
inferred← citeshttps://doi.org/10.1145/3366172openalex-snapshot
Next-Item Recommendation via Collaborative Filtering with Bidirectional Item Similarity
inferred← citeshttps://doi.org/10.1145/3442381.3450109openalex-snapshot
A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps
inferred← citeshttps://doi.org/10.1145/3446132.3446134openalex-snapshot
Deep Factorization Machines network with Non-linear interaction for Recommender System
inferred← citeshttps://doi.org/10.1145/3447548.3467067openalex-snapshot
Debiasing Learning based Cross-domain Recommendation
inferred← citeshttps://doi.org/10.1145/3511808.3557071openalex-snapshot
A Relevant and Diverse Retrieval-enhanced Data Augmentation Framework for Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3522762openalex-snapshot
Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation
inferred← citeshttps://doi.org/10.1145/3564283openalex-snapshot
RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction
inferred← citeshttps://doi.org/10.1145/3583780.3614978openalex-snapshot
Multi-modal Mixture of Experts Represetation Learning for Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3694907.3765932openalex-snapshot
Context-Aware Application Recommendations in Augmented Reality
inferred← citeshttps://doi.org/10.1145/3744661openalex-snapshot
Review-Aware Recommender Systems (RARSs): Recent Advances, Experimental Comparative Analysis, Discussions, and New Directions
inferred← citeshttps://doi.org/10.1145/3765614openalex-snapshot
A cross-domain recommender system using deep coupled autoencoders
inferred← citeshttps://doi.org/10.1155/2020/4521723openalex-snapshot
A Collaborative Deep and Shallow Semisupervised Learning Framework for Mobile App Classification
inferred← citeshttps://doi.org/10.1155/2020/8828087openalex-snapshot
Deep Interest-Shifting Network with Meta-Embeddings for Fresh Item Recommendation
inferred← citeshttps://doi.org/10.14569/ijacsa.2020.0110906openalex-snapshot
A Recommender System for Mobile Applications of Google Play Store
inferred← citeshttps://doi.org/10.1515/libri-2019-0140openalex-snapshot
The Protection of User Preference Privacy in Personalized Information Retrieval: Challenges and Overviews
inferred← citeshttps://doi.org/10.25103/jestr.135.03openalex-snapshot
Health App Recommendation System using Ensemble Multimodel Deep Learning
inferred← citeshttps://doi.org/10.3233/ida-194961openalex-snapshot
Hybrid recommendation model based on deep learning and Stacking integration strategy
inferred← citeshttps://doi.org/10.32657/10356/83291openalex-snapshot
Neural architectures for natural language understanding
inferred← citeshttps://doi.org/10.33042/2522-1809-2022-3-170-7-11openalex-snapshot
AUTOMATIC CONTROL OF THE TECHNOLOGICAL PROCESS USING NEURAL NETWORKS TO DETERMINE THE PARAMETERS OF THE PRODUCTION PROCESS
inferred← citeshttps://doi.org/10.3390/app11209608openalex-snapshot
Eliciting Auxiliary Information for Cold Start User Recommendation: A Survey
inferred← citeshttps://doi.org/10.48550/arxiv.1812.08304openalex-snapshot
Recommendation System based on Semantic Scholar Mining and Topic modeling: A behavioral analysis of researchers from six conferences
inferred← citeshttps://doi.org/10.48550/arxiv.1909.09551openalex-snapshot
Natural Language Processing via LDA Topic Model in Recommendation Systems
inferred← citeshttps://doi.org/10.48550/arxiv.2109.03798openalex-snapshot
AppQ: Warm-starting App Recommendation Based on View Graphs
inferred← citeshttps://doi.org/10.53106/160792642022112306023openalex-snapshot
A Multi-modal Feature Fusion-based Approach for Mobile Application Classification and Recommendation
inferred← citeshttps://doi.org/10.54254/2755-2721/2/20220577openalex-snapshot
Comprehensive Analysis for Intelligent Recommendation on Mobile Applications
inferred← citeshttps://doi.org/10.63341/vitce/1.2025.30openalex-snapshot
Analysis of the impact of cross-platform behaviour on recommendation quality
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.