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Intelligent e-government services with personalized recommendation techniques
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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A personalized recommender system based on web usage mining and decision tree induction
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Application of Web usage mining and product taxonomy to collaborative recommendations in e-commerce
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E-Commerce Recommendation Applications
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Efficient Adaptive-Support Association Rule Mining for Recommender Systems
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INFORMATION RETRIEVAL BASED ON CONCEPTUAL DISTANCE IN IS‐A HIERARCHIES
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Development and application of a metric on semantic nets
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The FindMe approach to assisted browsing
inferredcites →https://doi.org/10.1109/tkde.2003.1185834openalex-snapshot
Uniform techniques for deriving similarities of objects and subschemes in heterogeneous databases
inferredcites →https://doi.org/10.1109/tkde.2003.1185844openalex-snapshot
Determining semantic similarity among entity classes from different ontologies
inferredcites →https://doi.org/10.1145/138859.138867openalex-snapshot
Using collaborative filtering to weave an information tapestry
inferredcites →https://doi.org/10.1145/289444.289509openalex-snapshot
Using filtering agents to improve prediction quality in the GroupLens research collaborative filtering system
inferredcites →https://doi.org/10.1145/3130348.3130372openalex-snapshot
An Algorithmic Framework for Performing Collaborative Filtering
inferredcites →https://doi.org/10.1145/325737.325858openalex-snapshot
Learning to recommend from positive evidence
inferredcites →https://doi.org/10.1145/345124.345133openalex-snapshot
Introduction: personalized views of personalization
inferredcites →https://doi.org/10.1145/352871.352887openalex-snapshot
Analysis of recommendation algorithms for e-commerce
inferredcites →https://doi.org/10.1145/357489.357499openalex-snapshot
A strategic perspective of electronic democracy
inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot
Item-based collaborative filtering recommendation algorithms
inferredcites →https://doi.org/10.1145/502585.502627openalex-snapshot
Evaluation of Item-Based Top- N Recommendation Algorithms
inferredcites →https://doi.org/10.1145/635484.635487openalex-snapshot
Exploiting hierarchical domain structure to compute similarity
inferredcites →https://doi.org/10.4018/978-1-59140-348-7openalex-snapshot
Electronic Government Strategies and Implementation
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.cmp-lg/9511007openalex-snapshot
Using Information Content to Evaluate Semantic Similarity in a Taxonomy
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Effective public service delivery supported by time-decayed Bayesian personalized ranking
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GCNSLIM: Graph convolutional network with sparse linear methods for e-government service recommendation
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The impact of multi-criteria ratings in social networking sites on the performance of online recommendation agents
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Machine Learning Techniques for Recommender Systems – A Comparative Case Analysis
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