The use of MMR, diversity-based reranking for reordering documents and producing summaries
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Information Retrieval
Beyond independent relevance: methods and evaluation metrics for subtopic retrieval
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Novelty and diversity in information retrieval evaluation
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
A survival modeling approach to biomedical search result diversification using wikipedia
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Role of emotional features in collaborative recommendation
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
On the effectiveness of emotion extraction techniques
Proceedings of the 10th Conference on Open Research Areas in Information Retrieval
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The aim of this paper is to investigate the role of emotion features in diversifying document rankings to improve the effectiveness of Information Retrieval (IR) systems. For this purpose, two approaches are proposed to consider emotion features for diversification, and they are empirically tested on the TREC 678 Interactive Track collection. The results show that emotion features are capable of enhancing retrieval effectiveness.