An axiomatic approach for result diversification 论文
2009引用 382
Semantic Web and OntologiesRecommender Systems and TechniquesService-Oriented Architecture and Web Services
详细信息
- 发表日期
- 2009-04-20
- 发表年份
- 2009
关键词
Semantic Web and OntologiesRecommender Systems and TechniquesService-Oriented Architecture and Web Services
摘要
Understanding user intent is key to designing an effective ranking system in a search engine. In the absence of any explicit knowledge of user intent, search engines want to diversify results to improve user satisfaction. In such a setting, the probability ranking principle-based approach of presenting the most relevant results on top can be sub-optimal, and hence the search engine would like to trade-off relevance for diversity in the results.