We present an approach for answering Entity Retrieval queries using click-through information in query log data from a commercial Web search engine. We compare results using click...
Bodo Billerbeck, Gianluca Demartini, Claudiu S. Fi...
Microblog services let users broadcast brief textual messages to people who "follow" their activity. Often these posts contain terms called hashtags, markers of a post...
Recently, Portfolio Theory (PT) has been proposed for Information Retrieval. However, under non-trivial conditions PT violates the original Probability Ranking Principle (PRP). In...
Guido Zuccon, Leif Azzopardi, Keith van Rijsbergen
In this paper, we report findings on how user behaviors vary in tasks with different difficulty levels as well as of different types. Two behavioral signals: document dwell time a...
Jingjing Liu, Chang Liu, Jacek Gwizdka, Nicholas J...
In recent years, active learning methods based on experimental design achieve state-of-the-art performance in text classification applications. Although these methods can exploit ...
We present a simple and effective approach to complement search results for children's web queries with child-oriented multimedia results, such as coloring pages and music sh...
Inferring the score distribution of relevant and non-relevant documents is an essential task for many IR applications (e.g. information filtering, recall-oriented IR, meta-search,...
Cluster label quality is crucial for browsing topic hierarchies obtained via document clustering. Intuitively, the hierarchical structure should influence the labeling accuracy. H...