Name
Abstract | ||
|---|---|---|
The query term expansion subtask was conducted to establish an evaluation framework for information retrieval (IR) systems that focus on the effectiveness of query term expansion techniques. However, the qual- ity of query term expansions are affected by several factors (e.g., IR system using expanded query, quality of initial query, etc.), so it is difficult to evaluate this technique. In this subtask, I assume the topic difficulty for the query term expansion technique is caused by the mis- match between different information-need expressions (query terms and relevant documents). To take into account this topic difficulty, I propose feature quanti- ties to characterize this difficulty and propose a new framework to evaluate each query expansion system. |
Year | Venue | Field |
|---|---|---|
2005 | NTCIR | Query optimization,Web search query,RDF query language,Query language,Information retrieval,Query expansion,Computer science,Sargable,Web query classification,Ranking (information retrieval) |
DocType | Citations | PageRank |
Conference | 2 | 0.45 |
References | Authors | |
7 | 1 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Masaharu Yoshioka | 1 | 368 | 41.40 |