Name
Abstract | ||
|---|---|---|
This work studies the merits of using query-drift analysis for search re-ranking. A relationship between the ability to predict the quality of a result list retrieved by an arbitrary method, as manifested by its estimated query-drift, and the ability to improve that method's initial retrieval by re-ranking documents in the list based on such prediction is established. A novel document property, termed "aspect-stability", is identified as the main enabler for transforming the output of an aspect-level query-drift analysis into concrete document scores for search re-ranking. Using an evaluation with various TREC corpora with common baseline retrieval methods, the potential of the proposed re-ranking approach is demonstrated.
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Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3209542.3209567 | HT |
Field | DocType | ISBN |
Enabling,World Wide Web,Ranking,Information retrieval,Computer science | Conference | 978-1-4503-5427-1 |
Citations | PageRank | References |
0 | 0.34 | 11 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haggai Roitman | 1 | 314 | 32.07 |
| Ella Rabinovich | 2 | 60 | 8.42 |
| Oren Sar Shalom | 3 | 20 | 7.74 |