Interleaving experiments are an attractive methodology for evaluating retrieval functions through implicit feedback. Designed as a blind and unbiased test for eliciting a preferen...
Yisong Yue, Yue Gao, Olivier Chapelle, Ya Zhang, T...
Generative models such as statistical language modeling have been widely studied in the task of expert search to model the relationship between experts and their expertise indicat...
We consider blog feed search: identifying relevant blogs for a given topic. An individual’s search behavior often involves a combination of exploratory behavior triggered by sal...
Wouter Weerkamp, Krisztian Balog, Maarten de Rijke
Collaborative Filtering (CF) algorithms, used to build webbased recommender systems, are often evaluated in terms of how accurately they predict user ratings. However, current eva...
Neal Lathia, Stephen Hailes, Licia Capra, Xavier A...
We propose a method to predict a user’s favourite locations in a city, based on his Flickr geotags in other cities. We define a similarity between the geotag distributions of t...
Maarten Clements, Pavel Serdyukov, Arjen P. de Vri...
Web-based social systems enable new community-based opportunities for participants to engage, share, and interact. This community value and related services like search and advert...
Several studies have found that the Cranfield approach to evaluation can report significant performance differences between retrieval systems for which little to no performance...
In the last years Blog Search has been a new exciting task in Information Retrieval. The presence of user generated information with valuable opinions makes this field of huge in...
Music information retrieval (MIR) holds great promise as a technology for managing large music archives. One of the key components of MIR that has been actively researched into is...
Jialie Shen, Wang Meng, Shuichang Yan, HweeHwa Pan...