Eigentaste: A Constant Time Collaborative Filtering Algorithm
Information Retrieval
The concept of relevance in IR
Journal of the American Society for Information Science and Technology
Improving recommendation lists through topic diversification
WWW '05 Proceedings of the 14th international conference on World Wide Web
TREC: Experiment and Evaluation in Information Retrieval (Digital Libraries and Electronic Publishing)
Evaluation campaigns and TRECVid
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Google news personalization: scalable online collaborative filtering
Proceedings of the 16th international conference on World Wide Web
The long tail of recommender systems and how to leverage it
Proceedings of the 2008 ACM conference on Recommender systems
Personalized news recommendation based on click behavior
Proceedings of the 15th international conference on Intelligent user interfaces
Use of implicit graph for recommending relevant videos: a simulated evaluation
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
ACM SIGIR Forum
Cross-Domain Recommender Systems
ICDMW '11 Proceedings of the 2011 IEEE 11th International Conference on Data Mining Workshops
Workshop and challenge on news recommender systems
Proceedings of the 7th ACM conference on Recommender systems
A month in the life of a production news recommender system
Proceedings of the 2013 workshop on Living labs for information retrieval evaluation
| Hi-index | 0.00 |
Releasing datasets has fostered research in fields such as information retrieval and recommender systems. Datasets are typically tailored for specific scenarios. In this work, we present the plista dataset. The dataset contains a collection of news articles published on 13 news portals. Additionally, the dataset comprises user interactions with those articles. We inctroduce the dataset's main characteristics. Further, we illustrate possible applications of the dataset.