Context aware personalized content recommendation using ontology based spreading activation
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Summary
A recommendation system which provide content recommendation to user based on user interests which gets changes over the period of time and system learns this using the spreading Activation algorithm.
- Type
- article
- Published
- 2018-01-08
- Cited by
- 22
- References
- 23
- OpenAlex
- https://openalex.org/W2783599882
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:67165031
Keywords
Computer science, Ontology, Context (archaeology), Recommender system, Domain (mathematical analysis)
References
- Ontology Development 101: A Guide to Creating Your First Ontology
- User interest expansion using spreading activation for generating recommendations
- A Proactive Personalized Mobile News Recommendation System
- Understanding and Using Context
- SigTur/E-Destination: Ontology-based personalized recommendation of Tourism and Leisure Activities
- Utilizing contextual ontological user profiles for personalized recommendations
- Agent-based architecture for context-aware and personalized event recommendation
- A Survey of Collaborative Filtering Techniques
- Ontology-based news recommendation
- Discovering user interests from Web browsing behavior: an application to Internet news services
- A spreading-activation theory of semantic processing
- A translation approach to portable ontology specifications
- Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
- What is ontology
- Ontologies and the Semantic Web
- Research on Personalized Recommendation Algorithm Based on Ontological User Interest Model
- What Is an Ontology?
- Content-Based Recommendation Systems
- A Guide to Creating Your First Ontology
- Hybrid Web Recommender Systems
Cited by
- Role of Ontology and Machine Learning in Recommender Systems
- Evolution of recommender system over the time
- Sentiment analysis of Indian PM’s “Mann Ki Baat”
- An efficient ontology-based topic-specific article recommendation model for best-fit reviewers
- Detecting Extended Contexts in Tweets using DBpedia
- A Comparison of Collaborative Filtering-based Recommender Systems
- A Hierarchical Clustering Approach for DBpedia based Contextual Information of Tweets
- An Automated Learning System for Twitter Trends
- A Novel Personalized Recommendation Model Based on User's Context
- Context-aware graph-based recommendations exploiting Personalized PageRank
- Recommender System: Techniques, Comparison & Solutions
- Personalized ontology and deep training tree‐based optimal gated recurrent unit‐recurrent neural network for prediction of students' behavior
- Normalized category travel personality by considering explicit and implicit feedback (NCTP): approach for improving travel recommender systems search result
- Constructing a subject-based ontology through the utilization of a semantic knowledge graph
- Ontology enrichment from opinions using machine learning algorithms
- Gourmet Genius: Personalized Recipe Recommender and Calorie Calculator
- Machine Learning Based Caloric Expenditure Prediction for Personalized Exercise Soundtracks
- Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems
- Fairness and Popularity Bias in Recommender Systems: an Empirical Evaluation
- Explanation-Based Serendipitous Recommender System (EBSRS)
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