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Version-Aware Rating Prediction for Mobile App Recommendation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1109/icdm.2008.22openalex-snapshot
Collaborative Filtering for Implicit Feedback Datasets
inferredcites →https://doi.org/10.1109/icdm.2010.164openalex-snapshot
One-Class Matrix Completion with Low-Density Factorizations
inferredcites →https://doi.org/10.1109/icdm.2011.134openalex-snapshot
SLIM: Sparse Linear Methods for Top-N Recommender Systems
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1109/tmc.2013.113openalex-snapshot
Mobile App Classification with Enriched Contextual Information
inferredcites →https://doi.org/10.1137/1.9781611972801.18openalex-snapshot
Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs
inferredcites →https://doi.org/10.1145/1014052.1014073openalex-snapshot
Mining and summarizing customer reviews
inferredcites →https://doi.org/10.1145/1367497.1367513openalex-snapshot
Modeling online reviews with multi-grain topic models
inferredcites →https://doi.org/10.1145/1390334.1390352openalex-snapshot
Personalized active learning for collaborative filtering
inferredcites →https://doi.org/10.1145/1401890.1401944openalex-snapshot
Factorization meets the neighborhood
inferredcites →https://doi.org/10.1145/1553374.1553435openalex-snapshot
Retracted December 5, 2011: A novel lexicalized HMM-based learning framework for web opinion mining
inferredcites →https://doi.org/10.1145/1557019.1557029openalex-snapshot
Regression-based latent factor models
inferredcites →https://doi.org/10.1145/1645953.1646003openalex-snapshot
Joint sentiment/topic model for sentiment analysis
inferredcites →https://doi.org/10.1145/1835804.1835903openalex-snapshot
Latent aspect rating analysis on review text data
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/10.1145/1935826.1935877openalex-snapshot
Recommender systems with social regularization
inferredcites →https://doi.org/10.1145/2009916.2009961openalex-snapshot
Functional matrix factorizations for cold-start recommendation
inferredcites →https://doi.org/10.1145/2020408.2020480openalex-snapshot
Collaborative topic modeling for recommending scientific articles
inferredcites →https://doi.org/10.1145/2020408.2020505openalex-snapshot
Latent aspect rating analysis without aspect keyword supervision
inferredcites →https://doi.org/10.1145/2339530.2339563openalex-snapshot
GetJar mobile application recommendations with very sparse datasets
inferredcites →https://doi.org/10.1145/2339530.2339732openalex-snapshot
Learning personal + social latent factor model for social recommendation
inferredcites →https://doi.org/10.1145/2365952.2365969openalex-snapshot
On top-k recommendation using social networks
inferredcites →https://doi.org/10.1145/2396761.2396771openalex-snapshot
Social contextual recommendation
inferredcites →https://doi.org/10.1145/2433396.2433451openalex-snapshot
Learning multiple-question decision trees for cold-start recommendation
inferredcites →https://doi.org/10.1145/2484028.2484035openalex-snapshot
Addressing cold-start in app recommendation
inferredcites →https://doi.org/10.1145/2484028.2484059openalex-snapshot
An experimental study on implicit social recommendation
inferredcites →https://doi.org/10.1145/2488388.2488475openalex-snapshot
One-class collaborative filtering with random graphs
inferredcites →https://doi.org/10.1145/2507157.2507163openalex-snapshot
Hidden factors and hidden topics
inferredcites →https://doi.org/10.1145/2507157.2507182openalex-snapshot
Exploring temporal effects for location recommendation on location-based social networks
inferredcites →https://doi.org/10.1145/2532515openalex-snapshot
Mining Mobile User Preferences for Personalized Context-Aware Recommendation
inferredcites →https://doi.org/10.1145/2568225.2568263openalex-snapshot
AR-miner: mining informative reviews for developers from mobile app marketplace
inferredcites →https://doi.org/10.1145/2600428.2609599openalex-snapshot
Addressing cold start in recommender systems
inferredcites →https://doi.org/10.1145/2623330.2623705openalex-snapshot
Mobile app recommendations with security and privacy awareness
inferredcites →https://doi.org/10.1145/2661829.2662042openalex-snapshot
Dual-Regularized One-Class Collaborative Filtering
inferredcites →https://doi.org/10.1145/2684822.2685302openalex-snapshot
Predicting The Next App That You Are Going To Use
inferredcites →https://doi.org/10.1145/2684822.2685322openalex-snapshot
Personalized Mobile App Recommendation
inferredcites →https://doi.org/10.1145/2766462.2767759openalex-snapshot
Leveraging User Reviews to Improve Accuracy for Mobile App Retrieval
inferredcites →https://doi.org/10.1145/2884781.2884818openalex-snapshot
Release planning of mobile apps based on user reviews
inferredcites →https://doi.org/10.1145/2939672.2939703openalex-snapshot
Evaluating Mobile Apps with A/B and Quasi A/B Tests
inferredcites →https://doi.org/10.1145/564376.564421openalex-snapshot
Methods and metrics for cold-start recommendations
inferredcites →https://doi.org/10.1145/963770.963776openalex-snapshot
Item-based top- N recommendation algorithms
inferredcites →https://doi.org/10.1609/aaai.v29i1.9462openalex-snapshot
Content-Aware Point of Interest Recommendation on Location-Based Social Networks
inferredcites →https://doi.org/10.3115/1699648.1699700openalex-snapshot
Phrase dependency parsing for opinion mining
inferredcites →https://doi.org/10.48550/arxiv.1205.2618openalex-snapshot
BPR: Bayesian Personalized Ranking from Implicit Feedback
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s00500-021-05988-8openalex-snapshot
Incorporating contextual information into personalized mobile applications recommendation
inferred← citeshttps://doi.org/10.1007/s00500-022-06925-zopenalex-snapshot
CFDIL: a context-aware feature deep interaction learning for app recommendation
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/s11257-024-09398-xopenalex-snapshot
Understanding user intent modeling for conversational recommender systems: a systematic literature review
inferred← citeshttps://doi.org/10.1007/s11280-018-0574-1openalex-snapshot
Dual-regularized one-class collaborative filtering with implicit feedback
inferred← citeshttps://doi.org/10.1016/j.ipm.2021.102601openalex-snapshot
Modeling search and session effectiveness
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.jss.2024.112040openalex-snapshot
How to effectively mine app reviews concerning software ecosystem? A survey of review characteristics
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.2019.06.029openalex-snapshot
Multi-view factorization machines for mobile app recommendation based on hierarchical attention
inferred← citeshttps://doi.org/10.1080/09540091.2023.2289834openalex-snapshot
Weighted meta-graph based mobile application recommendation through matrix factorisation and neural networks
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/ccwc51732.2021.9376021openalex-snapshot
App Success Classification Using Machine Learning Models
inferred← citeshttps://doi.org/10.1109/compsac57700.2023.00039openalex-snapshot
Application Recommendation based on Metagraphs: Combining Behavioral and Published Information
inferred← citeshttps://doi.org/10.1109/icdm.2018.00049openalex-snapshot
Intelligent Salary Benchmarking for Talent Recruitment: A Holistic Matrix Factorization Approach
inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10650932openalex-snapshot
App Recommendation Model Based on Heterogeneous Graph Collaborative Filtering
inferred← citeshttps://doi.org/10.1109/scc.2018.00025openalex-snapshot
A Two-Phase Method of QoS Prediction for Situated Service Recommendation
inferred← citeshttps://doi.org/10.1109/tgcn.2022.3165262openalex-snapshot
Machine Learning-Driven APPs Recommendation for Energy Optimization in Green Communication and Networking for Connected and Autonomous Vehicles
inferred← citeshttps://doi.org/10.1109/tkde.2023.3328730openalex-snapshot
SNMCF: A Scalable Non-Negative Matrix Co-Factorization for Student Cognitive Modeling
inferred← citeshttps://doi.org/10.1145/3352592openalex-snapshot
Enhancing Personalized Recommendation by Implicit Preference Communities Modeling
inferred← citeshttps://doi.org/10.1145/3463913openalex-snapshot
HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware 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/10.21203/rs.3.rs-3238230/v1openalex-snapshot
Understanding User Intent Modeling for Conversational Recommender Systems: A Systematic Literature Review
inferred← citeshttps://doi.org/10.48550/arxiv.1910.07792openalex-snapshot
Cascading: Association Augmented Sequential Recommendation
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