Using clustering and classification approaches in interactive retrieval

What Users Prefer and Why: A User Study on Effective Presentation Styles of Opinion Summarization

“…It has also been used in summarization, where similar documents are grouped together and the representatives of the groups are displayed [1,20]. This approach has shown to be effective in interactive information retrieval [17,30]. See Figure 4.…”

Interactive information retrieval

“…Tombros et al also report that query-biased clustering approaches can improve retrieval effectiveness over standard inverted file searches (Tombros et al, 2002). However, the interface, in particular the intuitiveness of the information display, is important in maximizing these benefits; a searcher needs to be able to understand the relationships being presented by the clustering to avoid losing the potential benefits of the clustered organization (Wu, Fuller, & Wilkinson, 2001b). This use of clustering and categorization for displaying search results is also helpful.…”

Searching and mining the web for personalized and specialized information

“…Text classification is the classification of textual documents into predefined categories (supervised learning), while text clustering groups documents into categories dynamically defined based on their similarities (unsupervised learning). Although their usefulness is still under constant debate (Voorhees, 1985;Hearst & Pedersen, 1996;Wu et al, 2001), the use of classification and clustering is based on the Cluster Hypothesis:…”