Internet search engines typically compute a relevance score for webpages given the query terms, and then rank the pages by de-creasing relevance scores. The popular search engines do not, how-ever, present the relevance scores that were computed during this process. We suggest that these relevance scores may contain infor-mation that can help users make conscious decisions. In this paper we evaluate in a user study how users react to the display of such scores. The results indicate that users understand graphical dis-plays of relevance, and make decisions based on these scores. Our results suggest that in the context of exploratory search, relevance scores may cause users to explore more search results. 1
User relevance judgments are central to both the systems and user-oriented approaches to information...
The way a searcher interacts with query results can reveal a lot about what is being sought. Conside...
In this study, we investigate the similarities and differences between rankings of search results by...
Evaluation of search engine result relevance has traditionally been an expensive process done by hum...
Eye movement data can provide an in-depth view of human reasoning and the decision-making process, a...
The objective of this study is to evaluate the relevance ranking effectiveness of six search engines...
When users of information systems judge the relevance of search results, diverse criteria beyond top...
In this paper we present five user experiments on incorporating behavioural information into the rel...
In the face of the information explosion fuelled by the phenomenal growth of the Web, researchers ar...
In this study we investigate whether and why users change their preferences when assessing search en...
In this article, we present a set of approaches in analysing data gathered during experimentation wi...
Relevance as an information science concept is at the center of human information behavior. Relevan...
Search sessions consist of a person presenting a query to a search engine, followed by that person e...
User relevance judgments are central to both the systems and user-oriented approaches to information...
Search engines are currently the most popular method of information retrieval on the World Wide Web....
User relevance judgments are central to both the systems and user-oriented approaches to information...
The way a searcher interacts with query results can reveal a lot about what is being sought. Conside...
In this study, we investigate the similarities and differences between rankings of search results by...
Evaluation of search engine result relevance has traditionally been an expensive process done by hum...
Eye movement data can provide an in-depth view of human reasoning and the decision-making process, a...
The objective of this study is to evaluate the relevance ranking effectiveness of six search engines...
When users of information systems judge the relevance of search results, diverse criteria beyond top...
In this paper we present five user experiments on incorporating behavioural information into the rel...
In the face of the information explosion fuelled by the phenomenal growth of the Web, researchers ar...
In this study we investigate whether and why users change their preferences when assessing search en...
In this article, we present a set of approaches in analysing data gathered during experimentation wi...
Relevance as an information science concept is at the center of human information behavior. Relevan...
Search sessions consist of a person presenting a query to a search engine, followed by that person e...
User relevance judgments are central to both the systems and user-oriented approaches to information...
Search engines are currently the most popular method of information retrieval on the World Wide Web....
User relevance judgments are central to both the systems and user-oriented approaches to information...
The way a searcher interacts with query results can reveal a lot about what is being sought. Conside...
In this study, we investigate the similarities and differences between rankings of search results by...