Name
Abstract | ||
|---|---|---|
In TREC 2009, we participate in the Web track, and focus on the diversity task. We propose to diversify web search results by first mining subtopics, and then rank results based on mined subtopics. We propose a model to diversify search results by considering both relevance of documents and richness of mined subtopics. Our experimental results show that the model improves diversity of search results in terms of α-NDCG, and combining subtopics from multiple data sources helps further improve result diversity. |
Year | DOI | Venue |
|---|---|---|
2009 | null | TREC |
Keywords | Field | DocType |
data management,algorithms,china,data acquisition,information retrieval,internet,parameters,search theory | Data mining,Multiple data,World Wide Web,Information retrieval,Computer science,Data acquisition,Search theory,Data management,The Internet | Conference |
Volume | Issue | Citations |
null | null | 12 |
PageRank | References | Authors |
0.62 | 4 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhicheng Dou | 1 | 706 | 41.96 |
| Kun Chen | 2 | 12 | 0.62 |
| Ruihua Song | 3 | 1138 | 59.33 |
| Yunxiao Ma | 4 | 76 | 4.59 |
| Shuming Shi | 5 | 620 | 58.27 |
| Ji-Rong Wen | 6 | 4431 | 265.98 |