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

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What this work says

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

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QoS-Based Service Selection and Ranking with Trust and Reputation Management
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Thirteen Ways to Look at the Correlation Coefficient
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The Skyline operator
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Personalized QoS Prediction forWeb Services via Collaborative Filtering
inferredcites →https://doi.org/10.1109/icws.2007.91openalex-snapshot
Flow-Based Service Selection forWeb Service Composition Supporting Multiple QoS Classes
inferredcites →https://doi.org/10.1109/icws.2010.10openalex-snapshot
Distributed QoS Evaluation for Real-World Web Services
inferredcites →https://doi.org/10.1109/icws.2010.66openalex-snapshot
Recommendation on Uncertain Services
inferredcites →https://doi.org/10.1109/ideas.2006.45openalex-snapshot
Towards an Approach forWeb services Substitution
inferredcites →https://doi.org/10.1109/scc.2011.46openalex-snapshot
An Enhanced QoS Prediction Approach for Service Selection
inferredcites →https://doi.org/10.1109/srds.2010.29openalex-snapshot
CloudRank: A QoS-Driven Component Ranking Framework for Cloud Computing
inferredcites →https://doi.org/10.1109/tase.2008.2009103openalex-snapshot
Web Service Configuration Under Multiple Quality-of-Service Attributes
inferredcites →https://doi.org/10.1109/tkde.2007.46openalex-snapshot
Random-Walk Computation of Similarities between Nodes of a Graph with Application to Collaborative Recommendation
inferredcites →https://doi.org/10.1109/tkde.2009.35openalex-snapshot
URBE: Web Service Retrieval Based on Similarity Evaluation
inferredcites →https://doi.org/10.1109/tsc.2010.52openalex-snapshot
QoS-Aware Web Service Recommendation by Collaborative Filtering
inferredcites →https://doi.org/10.1109/tsc.2011.35openalex-snapshot
Personalized QoS-Aware Web Service Recommendation and Visualization
inferredcites →https://doi.org/10.1109/tse.2004.11openalex-snapshot
QoS-aware middleware for Web services composition
inferredcites →https://doi.org/10.1109/tse.2007.1011openalex-snapshot
Adaptive Service Composition in Flexible Processes
inferredcites →https://doi.org/10.1109/tsmca.2008.923062openalex-snapshot
QoS-Aware Web Service Configuration
inferredcites →https://doi.org/10.1109/tsmca.2009.2037018openalex-snapshot
A Petri Net Approach to Analysis and Composition of Web Services
inferredcites →https://doi.org/10.1109/tsmca.2011.2157127openalex-snapshot
A Pattern-Recognition-Based Algorithm and Case Study for Clustering and Selecting Business Services
inferredcites →https://doi.org/10.1109/wise.2003.1254461openalex-snapshot
Service-oriented computing: concepts, characteristics and directions
inferredcites →https://doi.org/10.1145/1008992.1009051openalex-snapshot
An automatic weighting scheme for collaborative filtering
inferredcites →https://doi.org/10.1145/1013367.1013379openalex-snapshot
QoS computation and policing in dynamic web service selection
inferredcites →https://doi.org/10.1145/1076034.1076056openalex-snapshot
Scalable collaborative filtering using cluster-based smoothing
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/10.1145/1232722.1232728openalex-snapshot
Efficient algorithms for Web services selection with end-to-end QoS constraints
inferredcites →https://doi.org/10.1145/1242572.1242795openalex-snapshot
Discovering the best web service
inferredcites →https://doi.org/10.1145/1526709.1526828openalex-snapshot
Combining global optimization with local selection for efficient QoS-aware service composition
inferredcites →https://doi.org/10.1145/1835804.1835893openalex-snapshot
Combining predictions for accurate recommender systems
inferredcites →https://doi.org/10.1145/312624.312682openalex-snapshot
An algorithmic framework for performing collaborative filtering
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/10.1145/564691.564755openalex-snapshot
Quadtree and R-tree indexes in oracle spatial
inferredcites →https://doi.org/10.1145/775152.775211openalex-snapshot
Quality driven web services composition
inferredcites →https://doi.org/10.1145/844357.844360openalex-snapshot
A model for web services discovery with QoS
inferredcites →https://doi.org/10.1145/872757.872814openalex-snapshot
An optimal and progressive algorithm for skyline queries
inferredcites →https://doi.org/10.1145/963770.963774openalex-snapshot
Latent semantic models for collaborative filtering
inferredcites →https://doi.org/10.1145/963770.963776openalex-snapshot
Item-based top- N recommendation algorithms
inferredcites →https://doi.org/10.4018/jwsr.2008010104openalex-snapshot
Data Mining in Web Services Discovery and Monitoring
inferredcites →https://doi.org/10.48550/arxiv.1301.7363openalex-snapshot
Empirical Analysis of Predictive Algorithms for Collaborative Filtering

What points at this work

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

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An Alternating-Direction-Method of Multipliers-Incorporated Approach to Symmetric Non-Negative Latent Factor Analysis
inferred← citeshttps://doi.org/10.1109/tnsm.2015.2499265openalex-snapshot
An Effective Web Service Ranking Method via Exploring User Behavior
inferred← citeshttps://doi.org/10.1109/tnsm.2016.2517097openalex-snapshot
Collaborative Web Service Quality Prediction via Exploiting Matrix Factorization and Network Map
inferred← citeshttps://doi.org/10.1109/tnsm.2020.3027185openalex-snapshot
NDMF: Neighborhood-Integrated Deep Matrix Factorization for Service QoS Prediction
inferred← citeshttps://doi.org/10.1109/tnsm.2026.3719697openalex-snapshot
A Geo-Aware Personalized Network for User and Service Representation and Bilinear Interaction Modeling in QoS Prediction
inferred← citeshttps://doi.org/10.1109/tpds.2012.285openalex-snapshot
QoS Ranking Prediction for Cloud Services
inferred← citeshttps://doi.org/10.1109/tsc.2013.32openalex-snapshot
Instant Recommendation for Web Services Composition
inferred← citeshttps://doi.org/10.1109/tsc.2015.2407877openalex-snapshot
A Highly Accurate Prediction Algorithm for Unknown Web Service QoS Values
inferred← citeshttps://doi.org/10.1109/tsc.2015.2415807openalex-snapshot
Diversifying web service recommendation results via exploring service usage history
inferred← citeshttps://doi.org/10.1109/tsc.2015.2433251openalex-snapshot
Location-aware and personalized collaborative filtering for web service recommendation
inferred← citeshttps://doi.org/10.1109/tsc.2015.2479228openalex-snapshot
Collaborative Filtering Service Recommendation Based on a Novel Similarity Computation Method
inferred← citeshttps://doi.org/10.1109/tsc.2018.2859986openalex-snapshot
Multiple Attributes QoS Prediction via Deep Neural Model with Contexts
inferred← citeshttps://doi.org/10.1109/tsc.2018.2876532openalex-snapshot
A Location-Based Factorization Machine Model for Web Service QoS Prediction
inferred← citeshttps://doi.org/10.1109/tsc.2019.2891517openalex-snapshot
Covering-Based Web Service Quality Prediction via Neighborhood-Aware Matrix Factorization
inferred← citeshttps://doi.org/10.1109/tsc.2019.2893921openalex-snapshot
HAP: A Hybrid QoS Prediction Approach in Cloud Manufacturing Combining Local Collaborative Filtering and Global Case-Based Reasoning
inferred← citeshttps://doi.org/10.1109/tsc.2019.2961895openalex-snapshot
A Posterior-Neighborhood-Regularized Latent Factor Model for Highly Accurate Web Service QoS Prediction
inferred← citeshttps://doi.org/10.1109/tsc.2020.2980793openalex-snapshot
A Survey on Web Service QoS Prediction Methods
inferred← citeshttps://doi.org/10.1109/tsc.2020.2995571openalex-snapshot
Web Service QoS Prediction via Collaborative Filtering: A Survey
inferred← citeshttps://doi.org/10.1109/tsc.2021.3069108openalex-snapshot
Generalized Nesterov's Acceleration-Incorporated, Non-Negative and Adaptive Latent Factor Analysis
inferred← citeshttps://doi.org/10.1109/tsc.2021.3103769openalex-snapshot
A Missing QoS Prediction Approach via Time-Aware Collaborative Filtering
inferred← citeshttps://doi.org/10.1109/tsc.2022.3177316openalex-snapshot
A Momentum-Accelerated Hessian-Vector-Based Latent Factor Analysis Model
inferred← citeshttps://doi.org/10.1109/tsc.2023.3326208openalex-snapshot
A Deep-Learning Model for Service QoS Prediction Based on Feature Mapping and Inference
inferred← citeshttps://doi.org/10.1109/tsc.2025.3639601openalex-snapshot
Decoupling Location and Preference: A Dual-Branch Architecture for Robust QoS Prediction Under Extreme Sparsity
inferred← citeshttps://doi.org/10.1109/tsmc.2013.2280559openalex-snapshot
Constraint-Aware Approach to Web Service Composition
inferred← citeshttps://doi.org/10.1109/tsmc.2013.2287114openalex-snapshot
2013 Index IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 43
inferred← citeshttps://doi.org/10.1109/tsmc.2015.2391262openalex-snapshot
A Temporal-Topic Model for Friend Recommendations in Chinese Microblogging Systems
inferred← citeshttps://doi.org/10.1109/tsmc.2015.2421484openalex-snapshot
Topic-Oriented Exploratory Search Based on an Indexing Network
inferred← citeshttps://doi.org/10.1109/tsmc.2015.2478886openalex-snapshot
Performance Evaluation of Transactional Composite Web Services
inferred← citeshttps://doi.org/10.1109/tsmc.2015.2503384openalex-snapshot
QoS-Aware Multigranularity Service Composition: Modeling and Optimization
inferred← citeshttps://doi.org/10.1109/tsmc.2016.2633573openalex-snapshot
A Novel Method on Information Recommendation via Hybrid Similarity
inferred← citeshttps://doi.org/10.1109/tsmc.2017.2753465openalex-snapshot
A Configurable WoT Application Platform Based on Spatiotemporal Semantic Scenarios
inferred← citeshttps://doi.org/10.1109/tsmc.2018.2814686openalex-snapshot
QoS-Aware Service Composition in Cloud Manufacturing: A Gale–Shapley Algorithm-Based Approach
inferred← citeshttps://doi.org/10.1109/tsmc.2018.2875452openalex-snapshot
A Fast Non-Negative Latent Factor Model Based on Generalized Momentum Method
inferred← citeshttps://doi.org/10.1109/tsmc.2018.2884191openalex-snapshot
Latent Factor-Based Recommenders Relying on Extended Stochastic Gradient Descent Algorithms
inferred← citeshttps://doi.org/10.1109/tsmc.2019.2930525openalex-snapshot
An Instance-Frequency-Weighted Regularization Scheme for Non-Negative Latent Factor Analysis on High-Dimensional and Sparse Data
inferred← citeshttps://doi.org/10.1109/tsmc.2019.2931393openalex-snapshot
A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems
inferred← citeshttps://doi.org/10.1109/tsmc.2019.2931723openalex-snapshot
Location-Aware Deep Collaborative Filtering for Service Recommendation
inferred← citeshttps://doi.org/10.1109/tsmc.2020.3002762openalex-snapshot
Assimilating Second-Order Information for Building Non-Negative Latent Factor Analysis-Based Recommenders
inferred← citeshttps://doi.org/10.1109/wccct.2016.29openalex-snapshot
An Efficient Inclusive Similarity Based Clustering (ISC) Algorithm for Big Data
inferred← citeshttps://doi.org/10.1145/2905055.2905079openalex-snapshot
A Hybrid Clustering Based Collaborative Filtering (CF) Approach
inferred← citeshttps://doi.org/10.1145/2996890.3007863openalex-snapshot
Service topic model with probability distance
inferred← citeshttps://doi.org/10.1145/3028842.3028847openalex-snapshot
A hybrid collaborative filtering recommendation algorithm
inferred← citeshttps://doi.org/10.1145/3062179openalex-snapshot
Mitigating Data Sparsity Using Similarity Reinforcement-Enhanced Collaborative Filtering
inferred← citeshttps://doi.org/10.1145/3154526openalex-snapshot
Objectives and State-of-the-Art of Location-Based Social Network Recommender Systems
inferred← citeshttps://doi.org/10.1145/3320482openalex-snapshot
Leveraging Kernel-Incorporated Matrix Factorization for App Recommendation
inferred← citeshttps://doi.org/10.1155/2017/6562371openalex-snapshot
Normalizing Item‐Based Collaborative Filter Using Context‐Aware Scaled Baseline Predictor
inferred← citeshttps://doi.org/10.1155/2018/5787406openalex-snapshot
General Collaborative Filtering for Web Service QoS Prediction
inferred← citeshttps://doi.org/10.1177/1063293x15578034openalex-snapshot
Personalized manufacturing service recommendation using semantics-based collaborative filtering
inferred← citeshttps://doi.org/10.1186/s13638-019-1525-yopenalex-snapshot
Neighborhood-aware web service quality prediction using deep learning
inferred← citeshttps://doi.org/10.12785/amis/080553openalex-snapshot
Topic Model based Collaborative QoS Prediction
inferred← citeshttps://doi.org/10.12785/amis/080557openalex-snapshot
Selecting Dynamic Skyline Services for QoS-based Service Composition
inferred← citeshttps://doi.org/10.14257/ijgdc.2015.8.4.25openalex-snapshot
Predicting Quality of Cloud Services for Selection
inferred← citeshttps://doi.org/10.14257/ijgdc.2016.9.3.13openalex-snapshot
An Approach to Detect Malicious Feedback Rating for Measuring Web Service Reputation
inferred← citeshttps://doi.org/10.14419/ijet.v7i4.22914openalex-snapshot
Onto based cluster labelling and incremental system for information retrieval
inferred← citeshttps://doi.org/10.15439/2022r11openalex-snapshot
Utilize Deep learning to increase the performance of a Book recommender system using the Item-based Collaborative Filtering
inferred← citeshttps://doi.org/10.17706/jcp.13.2.176-186openalex-snapshot
A Referral-Based QoS Prediction Approach for Service- Based Systems
inferred← citeshttps://doi.org/10.22214/ijraset.2023.49141openalex-snapshot
A Web Service Discovery Approach Based on Operation Discovery with Ranking Algorithm
inferred← citeshttps://doi.org/10.23977/autml.2022.030207openalex-snapshot
An Web Service Recommendation Method Based on Location and Decomposition Machine Model
inferred← citeshttps://doi.org/10.3103/s0146411618030070openalex-snapshot
QoS-Based Concurrent User-Service Grouping for Web Service Recommendation
inferred← citeshttps://doi.org/10.3233/jifs-224565openalex-snapshot
Deep learning based web service recommendation methods: A survey
inferred← citeshttps://doi.org/10.3389/fgene.2022.966483openalex-snapshot
Responsive and intelligent service recommendation method based on deep learning in cloud service
inferred← citeshttps://doi.org/10.3389/fpsyt.2018.00415openalex-snapshot
Application of Intelligent Recommendation Techniques for Consumers' Food Choices in Restaurants
inferred← citeshttps://doi.org/10.3390/app122211686openalex-snapshot
Utilizing Alike Neighbor Influenced Similarity Metric for Efficient Prediction in Collaborative Filter-Approach-Based Recommendation System
inferred← citeshttps://doi.org/10.3390/app14041450openalex-snapshot
Location-Aware Deep Interaction Forest for Web Service QoS Prediction
inferred← citeshttps://doi.org/10.3390/app7050504openalex-snapshot
Advanced Emergency Braking Control Based on a Nonlinear Model Predictive Algorithm for Intelligent Vehicles
inferred← citeshttps://doi.org/10.3390/app9153141openalex-snapshot
A Hybrid Two-Phase Recommendation for Group-Buying E-commerce Applications
inferred← citeshttps://doi.org/10.3390/s18051556openalex-snapshot
A Personalized QoS Prediction Approach for CPS Service Recommendation Based on Reputation and Location-Aware Collaborative Filtering
inferred← citeshttps://doi.org/10.3837/tiis.2014.08.010openalex-snapshot
Clustering and Recommendation for Semantic Web Service in Time Series
inferred← citeshttps://doi.org/10.4018/ijwsr.2018070103openalex-snapshot
LocPSORank-Prediction of Ranking of Web Services Using Location-Based Clustering and PSO Algorithm
inferred← citeshttps://doi.org/10.5120/18960-0288openalex-snapshot
Big Data Analytics using Hadoop
inferred← citeshttps://doi.org/10.54691/sjt.v4i9.2095openalex-snapshot
An Improved Web Service Recommendation Method based on Decomposition Machine Model
inferred← citeshttps://doi.org/10.7287/peerj-cs.784v0.1/reviews/1openalex-snapshot
Peer Review #1 of "Experimental interpretation of adequate weight-metric combination for dynamic user-based collaborative filtering (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.784v0.1/reviews/2openalex-snapshot
Peer Review #2 of "Experimental interpretation of adequate weight-metric combination for dynamic user-based collaborative filtering (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.784v0.2/reviews/2openalex-snapshot
Peer Review #2 of "Experimental interpretation of adequate weight-metric combination for dynamic user-based collaborative filtering (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.784v0.3/reviews/3openalex-snapshot
Peer Review #3 of "Experimental interpretation of adequate weight-metric combination for dynamic user-based collaborative filtering (v0.3)"
inferred← citeshttps://doi.org/10.7717/peerj-cs.784openalex-snapshot
Experimental interpretation of adequate weight-metric combination for dynamic user-based 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.