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The abundance of content on the web and the lack of quality control require more refined approaches in analyzing online information. In this paper, we propose evaluating the extent to which web search results cover important and recent news related to real-world objects. Our method allows for identifying search results that provide comprehensive overviews of major events related to user queries or...
This paper investigates the behavior of users judging the similarity of documents from the viewpoint of user feedback cost, in particular judgment time and accuracy. An experiment is conducted, in which 21 test participants were asked to judge the similarity of documents. As the clue for the judgment, 3 types of information: original text, snippet, and term, are mutually provided. The judgment accuracy...
Although static ranked lists remain the dominant Web search interface, they can limit the ability of Web searchers to find desired information when it is buried deep in the collection of search results. Web search visualization and Web search personalization are two active research directions that have shown promise for improving the user experience while searching the Web. In this paper, we propose...
Latent relational search is a new search paradigm based on the degree of analogy between two word pairs. A latent relational search engine is expected to return the word Paris as an answer to the question mark (?) in the query {(Japan, Tokyo), (France, ?)} because the relation between Japan and Tokyo is highly similar to that between France and Paris. We propose an approach for exploring and indexing...
Ranking microblogs, such as tweets, as search results for a query is challenging, among other things because of the sheer amount of microblogs that are being generated in real time, as well as the short length of each individual microblog. In this paper, we describe several new strategies for ranking microblogs in a real-time search engine. Evaluating these ranking strategies is non-trivial due to...
Our previous research has developed AbraQ, an innovative automatic query expansion algorithm that automatically adds a term to a search query to improve the search results. AbraQ differs from other relevance feedback approaches in that it works independently of the quality of the original search result, which means it works well for hard search tasks when there are not any relevant documents retrieved...
To improve web search effectiveness and help personalized search applications, it is important to understand users' search process, especially the underlying information goal transitions and satisfaction judgment on result pages. Unlike previous work modeling the two types of hidden information separately, the paper proposes to simultaneously model them based on users' full search process, including...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.