KUN on the TREC - 9 Filtering Tra k : In rementality ,

TREC-9 Cross-Language Information Retrieval (English-Chinese) Overview

(English Chinese) Overview Fredri Gey and Aitao Chen UC DATA and SIMS University of California, Berkeley e-mail: gey u data.berkeley.edu,aitao sims.berkeley.edu Abstra t Sixteen groups parti ipated in the TREC-9 ross-language information retrieval tra k whi h fo ussed on retrieving Chinese language do uments in response to 25 English queries. A variety of CLIR approa hes were tested and a ri h ...

Intelligent Approach for Attracting Churning Customers in Banking Industry Based on Collaborative Filtering

During the last years, increased competition among banks has caused many developments in banking experiences and technology, while leading to even more churning customers due to their desire of having the best services. Therefore, it is an extremely significant issue for the banks to identify churning customers and attract them to the banking system again. In order to tackle this issue, this pa...

Experiments on the TREC-9 Filtering Track

KDD R&D Laboratories has been participating in previous TREC conferences with the cooperation of students from Waseda University. This year, KDD R&D Laboratories and Waseda University are o cially participating as a joint research team. We have focused our experiments for TREC-9 on the adaptive ltering experiments of the Filtering Track. Our goal was to evaluate the ltering method using a non-r...

Microsoft Cambridge at TREC-9: Filtering Track

Apart from a short description of our Query Track contribution, this report is concerned with the Adaptive Filtering track only. There is a separate report in this volume [1] on the Microsoft Research Cambridge participation in QA track. A number of runs were submitted for the Adaptive Filtering track, on all tasks (adaptive filtering, batch filtering and routing; three separate query sets; two...

kNN, Rocchio and Metrics for Information Filtering at TREC-10