Hybrid Recommender Systems: Survey and Experiments
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Summary
This paper surveys the landscape of actual and possible hybrid recommenders, and introduces a novel hybrid, EntreeC, a system that combines knowledge-based recommendation and collaborative filtering to recommend restaurants, and shows that semantic ratings obtained from the knowledge- based part of the system enhance the effectiveness of collaborative filtering.
- Type
- article
- Published
- 2002-11-04
- Cited by
- 4,504
- References
- 75
- OpenAlex
- https://openalex.org/W281665770
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:3970
Keywords
Collaborative filtering, Computer science, Recommender system, Variety (cybernetics), Information retrieval
References
- The Knowledge Contained in Similarity Measures
- Integrating Knowledge-based and Collaborative-filtering Recommender Systems
- Exploring Versus Exploiting when Learning User Models for Text Recommendation
- Knowledge-based recommender systems
- Hybrid Recommender Systems for Electronic Commerce
- Case-Based Reasoning
- Combining Content-Based and Collaborative Filters in an Online Newspaper
- Combining Collaborative Filtering with Personal Agents for Better Recommendations
- An open architecture for collaborative filtering of netnews
- User Modeling for Adaptive News Access
- Content-Based Analysis of Digital Video
- Learning Collaborative Information Filters
- Feature-based and Clique-based User Models for Movie Selection: A Comparative Study
- Implicit Rating and Filtering
- Introduction to Modern Information Retrieval
- A personalised TV listings service for the digital TV age
- A user model neural network for a personal news service
- PocketLens: Toward a personal recommender system
- Using filtering agents to improve prediction quality in the GroupLens research collaborative filtering system
- Recommending and evaluating choices in a virtual community of use
Cited by
- A music recommendation system based on semantic audio segments similarity
- Evaluating Retail Recommender Systems via Retrospective Data: Lessons Learnt from a Live-Intervention Study
- Inspiration des sondages d'opinion pour réduire la latence en filtrage collaboratif
- eFox - Filesharing with Web Services
- Collaborative filtering recommender systems based on popular tags
- Diversity beats strength?: a hands-on experience with 9x9 go
- Knowledge-Based Recommendation: Technologies and Experiences from Projects
- Usage-based Object Similarity
- Capturing User's Preferences using a Genetic Algorithm - Determining Essential and Dispensable Item Attributes
- Identifying Attack Models for Secure Recommendation
- Profiling Users to Perform Contextual Advertising
- Multi-Agent Team Formation: Diversity Beats Strength?
- Introduction on health recommender systems.
- Walking on a User Similarity Network towards Personalized Recommendations
- Semantic Recommendation of Information Sources for Lifelong Learning
- Trust-Based User Profiling
- Providing Recommendations in an Agent-Based Transportation Transactions Management Platform
- Studying, developing, and experimenting contextual advertising systems
- State-of-the-Art-Betrachtung sensorischer B2C-Empfehlungsfunktionalität im stationären Einzelhandel
- Improving Case-Based Recommendations Using Implicit Feedback
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