The goals of CSIRO’s participation in the Enterprise track were formed by the nature of the tasks. With the expert finding search task, we sought to use a variety of means to associate topical expertise with individuals previously located within the collection. With the document search task, we were primarily interested in exploring issues of result diversity based on different characterisations of documents within the collection. We completed both expert and document search tasks by the submission deadline. In both cases, we submitted four runs for each task. The algorithms used for the runs for both tasks used a query-only baseline with subsequent variations. In both cases, we incorporated use of the PADRE retrieval system [2], in which the Okapi BM25 relevance function was implemented as the core ranking component. Incorporation of additional evidence such as anchor text and other characteristics of Web documents is used in the default ranking formula associated with the retrieval system.
[1]
David Hawking,et al.
ACSys TREC-7 Experiments
,
1998,
TREC.
[2]
David Hawking,et al.
Query-independent evidence in home page finding
,
2003,
TOIS.
[3]
Jon Oberlander,et al.
Australian Journal of Intelligent Information Processing Systems
,
2006
.
[4]
David Hawking,et al.
Improving Rankings in Small-Scale Web Search Using Click Implied Descriptions
,
2006,
Aust. J. Intell. Inf. Process. Syst..
[5]
Filip Radlinski,et al.
Improving personalized web search using result diversification
,
2006,
SIGIR.
[6]
Jade Goldstein-Stewart,et al.
The use of MMR, diversity-based reranking for reordering documents and producing summaries
,
1998,
SIGIR '98.
[7]
Witold Pedrycz,et al.
P-FCM: a proximity-based fuzzy clustering for user-centered web applications
,
2003,
Int. J. Approx. Reason..