GROUPER: A DYNAMIC CLUSTERING INTERFACE TO WEB SEARCH RESULTS by Oren Zamir and Oren Etzioni Presented by: Duygu Sarıkaya,Ahsen Yergök,Dilek Demirbaş

OUTLINE  Motivation  Problem Definition  Proposed Solution & Goals  How it Works  User Interface  Easy to Browse Clusters  Design for Speed  Empirical Evolution  Conclusion

PROBLEM DEFINITON  Search engine results are not easy to browse

PROPOSED SOLUTION  GROUPER  An Interface  Dynamic Clustering of Search Results

GOALS  Coherent Clusters  Efficiently Browsable  Speed

U SER I NTERFACE  Grouper’s query interface

A Q UERY R ESULT

R EFINE Q UERY B ASED O N T HIS C LUSTER

MAKING THE CLUSTERS EASY TO BROWSE  Word Overlap  Sub- and Super- Strings  Most-General Phrase with Low Coverage Identifying Redundant Phrases

DESIGN FOR SPEED

EMPIRICAL EVALUATION OF GROUPER

C OMPARISON TO A R ANKED L IST D ISPLAY Compared with HuskySearch, but not TREC 1. Number of documents followed 2. Time spent 3. Click distance

TIME SPENT  The average amount of time spent on each document

CONCLUSION  Grouper  Comparison to the logs of HuskySearch  Document clustering system on the Web  Grouper-II