TREC: Experiment and Evaluation in Information Retrieval (Digital Libraries and Electronic Publishing)
The influence of caption features on clickthrough patterns in web search
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Practical guide to controlled experiments on the web: listen to your customers not to the hippo
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
On test collections for adaptive information retrieval
Information Processing and Management: an International Journal
Including summaries in system evaluation
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Evaluating search systems using result page context
Proceedings of the third symposium on Information interaction in context
Aggregated search result diversification
ICTIR'11 Proceedings of the Third international conference on Advances in information retrieval theory
Evaluating aggregated search pages
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
On the reliability and intuitiveness of aggregated search metrics
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Hi-index | 0.00 |
Whole page relevance defines how well the surface-level repre-sentation of all elements on a search result page and the corre-sponding holistic attributes of the presentation respond to users' information needs. We introduce a method for evaluating the whole-page relevance of Web search engine results pages. Our key contribution is that the method allows us to investigate aspects of component relevance that are difficult or impossible to judge in isolation. Such aspects include component-level information redundancy and cross-component coherence. The method we describe complements traditional document relevance measurement, affords comparative relevance assessment across multiple search engines, and facilitates the study of important factors such as brand presentation effects and component-level quality.