Method for Novelty Recommendation Using Topic Modelling
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Summary
The results show that the proposed method that uses topic modelling to find the novelty of articles was more successful than the other approaches to novelty detection in recommending relevant articles that the users were interested in and showed a better click-through rate than the method that didn’t incorporate novelty.
- Type
- article
- Published
- 2014-01-01
- Cited by
- 1
- References
- 9
- OpenAlex
- https://openalex.org/W2401808953
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:7347112
Keywords
Novelty, Computer science, Novelty detection, Recommender system, Information retrieval
References
- Novelty and redundancy detection in adaptive filtering
- Tell me more, not just "more of the same"
- Novelty Detection: The TREC Experience
- Newsjunkie: providing personalized newsfeeds via analysis of information novelty
- Increasing Serendipity of Recommender System with Ranking Topic Model
- The Definition of Novelty in Recommendation System
- Novelty Detection via Topic Modeling in Research Articles
- Efficient Online Novelty Detection in News Streams
- Evaluating Recommendation Systems
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