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A hybrid intelligent service recommendation by latent semantics and explicit ratings
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/jcss.2000.1711openalex-snapshot
Latent Semantic Indexing: A Probabilistic Analysis
inferredcites →https://doi.org/10.1007/978-3-319-08786-3_13openalex-snapshot
Hoeffding-CF: Neighbourhood-Based Recommendations on Reliably Similar Users
inferredcites →https://doi.org/10.1007/978-3-319-29659-3_2openalex-snapshot
Neighborhood-Based Collaborative Filtering
inferredcites →https://doi.org/10.1007/978-3-319-29659-3_3openalex-snapshot
Model-Based Collaborative Filtering
inferredcites →https://doi.org/10.1007/978-3-642-23938-0_2openalex-snapshot
Semantically Enhanced Collaborative Filtering Based on RSVD
inferredcites →https://doi.org/10.1007/978-981-13-1747-7_17openalex-snapshot
Combining User-Based and Item-Based Collaborative Filtering Using Machine Learning
inferredcites →https://doi.org/10.1007/978-981-15-6353-9_32openalex-snapshot
Recent Challenges in Recommender Systems: A Survey
inferredcites →https://doi.org/10.1007/s10586-017-1576-yopenalex-snapshot
An expert recommendation algorithm based on Pearson correlation coefficient and FP-growth
inferredcites →https://doi.org/10.1007/s11257-019-09231-wopenalex-snapshot
Trends in content-based recommendation
inferredcites →https://doi.org/10.1007/s11390-012-1301-5openalex-snapshot
JacUOD: A New Similarity Measurement for Collaborative Filtering
inferredcites →https://doi.org/10.1007/s40747-020-00212-wopenalex-snapshot
Artificial intelligence in recommender systems
inferredcites →https://doi.org/10.1016/j.dsp.2016.01.004openalex-snapshot
Constrained non-negative matrix factorization for score-informed piano music restoration
inferredcites →https://doi.org/10.1016/j.ipm.2020.102310openalex-snapshot
A collaborative filtering recommender system using genetic algorithm
inferredcites →https://doi.org/10.1016/j.knosys.2021.106842openalex-snapshot
Enhancing recommendation systems performance using highly-effective similarity measures
inferredcites →https://doi.org/10.1016/j.neucom.2019.09.052openalex-snapshot
Hybrid neural recommendation with joint deep representation learning of ratings and reviews
inferredcites →https://doi.org/10.1016/j.neucom.2020.03.075openalex-snapshot
Joint Deep Recommendation Model Exploiting Reviews and Metadata Information
inferredcites →https://doi.org/10.1016/j.patcog.2018.09.004openalex-snapshot
Efficient algorithms for graph regularized PLSA for probabilistic topic modeling
inferredcites →https://doi.org/10.1023/a:1020443909834openalex-snapshot
An Empirical Analysis of Design Choices in Neighborhood-Based Collaborative Filtering Algorithms
inferredcites →https://doi.org/10.1109/access.2019.2960523openalex-snapshot
A Novel Learning Rate Function and Its Application on the SVD++ Recommendation Algorithm
inferredcites →https://doi.org/10.1109/ic3.2016.7880220openalex-snapshot
User tweets based genre prediction and movie recommendation using LSI and SVD
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1109/mic.2003.1167344openalex-snapshot
Amazon.com recommendations: item-to-item collaborative filtering
inferredcites →https://doi.org/10.1111/j.2517-6161.1977.tb01600.xopenalex-snapshot
Maximum Likelihood from Incomplete Data Via the EM Algorithm
inferredcites →https://doi.org/10.1111/jcc4.12178openalex-snapshot
Information Overload, Similarity, and Redundancy: Unsubscribing Information Sources on Twitter
inferredcites →https://doi.org/10.1142/9789812709066_0006openalex-snapshot
THE APRIORI ALGORITHM – A TUTORIAL
inferredcites →https://doi.org/10.1145/3172944.3172979openalex-snapshot
Interactive Storytelling for Movie Recommendation through Latent Semantic Analysis
inferredcites →https://doi.org/10.1145/3366172openalex-snapshot
Next-Item Recommendation via Collaborative Filtering with Bidirectional Item Similarity
inferredcites →https://doi.org/10.1145/3386243openalex-snapshot
Context-Aware Recommendations Based on Deep Learning Frameworks
inferredcites →https://doi.org/10.2197/ipsjjip.27.752openalex-snapshot
Time Series Link Prediction Using NMF
inferredcites →https://doi.org/10.2501/ija-33-1-181-183openalex-snapshot
Big Data: A Revolution That Will Transform How We Live, Work, and Think
inferredcites →https://doi.org/10.26599/bdma.2018.9020008openalex-snapshot
A survey of matrix completion methods for recommendation systems
inferredcites →https://doi.org/10.4018/jswis.2011010103openalex-snapshot
An Enhanced Semantic Layer for Hybrid Recommender Systems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/for.2953openalex-snapshot
A deep learning model for online doctor rating prediction
inferred← citeshttps://doi.org/10.1007/s10844-023-00815-yopenalex-snapshot
Improving information retrieval through correspondence analysis instead of latent semantic analysis
inferred← citeshttps://doi.org/10.1016/j.jss.2023.111873openalex-snapshot
Iterative framework based on multi-task learning for service recommendation
inferred← citeshttps://doi.org/10.1145/3542804openalex-snapshot
Performance Evaluation of Aggregation-based Group Recommender Systems for Ephemeral Groups
inferred← citeshttps://doi.org/10.1145/3643858openalex-snapshot
A Novel Blockchain-based Responsible Recommendation System for Service Process Creation and Recommendation
inferred← citeshttps://doi.org/10.1155/2021/1013682openalex-snapshot
Service Composition Recommendation Method Based on Recurrent Neural Network and Naive Bayes
inferred← citeshttps://doi.org/10.13140/rg.2.2.15294.41280openalex-snapshot
Combinations of Jaccard with Numerical Measures for Collaborative Filtering Enhancement: Current Work and Future Proposal
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3304224/v1openalex-snapshot
On the Impact of Jaccard Fusion with Numerical Measures for Collaborative Filtering Enhancement
inferred← citeshttps://doi.org/10.2478/amns-2024-0517openalex-snapshot
Research on Intelligent Recommendation of Computer Course Items Combining Augmented Learning Algorithms and Data Mining Techniques
inferred← citeshttps://doi.org/10.3233/jifs-231041openalex-snapshot
Movie recommendation system using taymon optimized deep learning network
inferred← citeshttps://doi.org/10.32604/cmc.2024.049780openalex-snapshot
Recommendation System Based on Perceptron and Graph Convolution Network
inferred← citeshttps://doi.org/10.3389/fphy.2024.1491365openalex-snapshot
SABTR: semantic analysis-based tourism recommendation
inferred← citeshttps://doi.org/10.3390/math10091568openalex-snapshot
A Hybrid Recommendation System of Upcoming Movies Using Sentiment Analysis of YouTube Trailer Reviews
inferred← citeshttps://doi.org/10.53106/199115992023123406005openalex-snapshot
Service Recommendation Method based on Multi Model Fusion
inferred← citeshttps://doi.org/10.5755/j01.itc.53.2.35290openalex-snapshot
Design and Implementation of an English Learning System Based on Intelligent Recommendation
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