Name
Title | ||
|---|---|---|
Enriching temporal query understanding through date identification: how to tag implicit temporal queries? |
Abstract | ||
|---|---|---|
Generically, search engines fail to understand the user's temporal intents when expressed as implicit temporal queries. This causes the retrieval of less relevant information and prevents users from being aware of the possible temporal dimension of the query results. In this paper, we aim to develop a language-independent model that tackles the temporal dimensions of a query and identifies its most relevant time periods. For this purpose, we propose a temporal similarity measure capable of associating a relevant date(s) to a given query and filtering out irrelevant ones. Our approach is based on the exploitation of temporal information from web content, particularly within the set of k-top retrieved web snippets returned in response to a query. We particularly focus on extracting years, which are a kind of temporal information that often appears in this type of collection. We evaluate our methodology using a set of real-world text temporal queries, which are clear concepts (i.e. queries which are non-ambiguous in concept and temporal in their purpose). Experiments show that when compared to baseline methods, determining the most relevant dates relating to any given implicit temporal query can be improved with a new temporal similarity measure. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2169095.2169103 | TempWeb |
Keywords | Field | DocType |
implicit temporal query,new temporal similarity measure,temporal similarity measure,temporal dimension,possible temporal dimension,temporal information,temporal intent,temporal query,relevant date,date identification,query result,temporal query understanding,search engine | Web search query,Query language,Search engine,Information retrieval,Query expansion,Computer science,Web query classification,Filter (signal processing),Temporal database,Web content | Conference |
Citations | PageRank | References |
3 | 0.42 | 17 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ricardo Campos | 1 | 44 | 7.35 |
| Gaël Dias | 2 | 354 | 41.95 |
| Alípio Jorge | 3 | 749 | 73.03 |
| Celia Nunes | 4 | 45 | 6.29 |