Search result diversification
- 27 September 2010
- journal article
- Published by Association for Computing Machinery (ACM) in ACM SIGMOD Record
- Vol. 39 (1), 41-47
- https://doi.org/10.1145/1860702.1860709
Abstract
Result diversification has recently attracted much attention as a means of increasing user satisfaction in recommender systems and web search. Many different approaches have been proposed in the related literature for the diversification problem. In this paper, we survey, classify and comparatively study the various definitions, algorithms and metrics for result diversification.This publication has 18 references indexed in Scilit:
- Using trees to depict a forestProceedings of the VLDB Endowment, 2009
- Preference-aware publish/subscribe delivery with diversityPublished by Association for Computing Machinery (ACM) ,2009
- Highlighting Diverse Concepts in DocumentsPublished by Society for Industrial & Applied Mathematics (SIAM) ,2009
- An axiomatic approach for result diversificationPublished by Association for Computing Machinery (ACM) ,2009
- Diversifying search resultsPublished by Association for Computing Machinery (ACM) ,2009
- Novelty and diversity in information retrieval evaluationPublished by Association for Computing Machinery (ACM) ,2008
- Personalized Queries under a Generalized Preference ModelPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- The use of MMR, diversity-based reranking for reordering documents and producing summariesPublished by Association for Computing Machinery (ACM) ,1998
- Approximation algorithms for maximum dispersionOperations Research Letters, 1997
- A comparison of p-dispersion heuristicsComputers & Operations Research, 1994