We investigate using topic prediction data, as a summary of document content, to compute measures of search result quality. Unlike existing quality measures such as query clarity ...
Evaluation of sentiment analysis, like large-scale IR evaluation, relies on the accuracy of human assessors to create judgments. Subjectivity in judgments is a problem for relevan...
Email spam filters are commonly trained on a sample of spam and ham (non-spam) messages. We investigate the effect on filter performance of using samples of spam and ham messag...
The need for evaluating large amounts of topics (queries) makes IR evaluation an uneasy task. In this paper, we study a topic selection problem for IR evaluation. The selection cr...
Jianhan Zhu, Jun Wang, Vishwa Vinay, Ingemar J. Co...
Modeling term dependence has been shown to have a significant positive impact on retrieval. Current models, however, use sequential term dependencies, leading to an increased que...