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.