29. SIGIR 2006: Seattle, WA, USA

User behavior and modeling

Handling messages and finding experts

Speech and music

Web 1 - exploiting graph structure

Semantics

Fusion and spam

Relevance feedback

Formal models

Cross language

Question and answering

Machine learning

Evaluation 1 - user models and test collections

Web 2

Distributed IR

Efficiency

Queries

Clustering

The first page of results

Users: clarification, feedback, and browsing

Classification and machine learning

Recommendation: use and abuse

Evaluation 2

Web IR: current topics

Summarization: multidocuments and new applications

Posters

Demos