[Purpose/significance] During academic search, understanding, analyzing and identifying the information needs expressed by users is the first step to optimize query results and improve the user experience of academic search engines. In this paper, we called it the academic query intent, which refers to the user's ideographic information needs and potential information expressed through query. Summarizing the academic query intent taxonomy is helpful for the identification of academic query intent and the presentation of search result pages.[Method/process] Based on the A.Broder's taxonomy of query intent, this study combined with the Baidu's academic search query log to construct a taxonomy of query intent in academic search. On this basis, this paper identified the different academic query categories manually and analyzed the characteristics of query intent in different types of academic queries.[Result/conclusion] The user's academic query intentions are divided into five categories:academic literature, academic entities, academic exploration, knowledge quiz and non-academic literature. For different types of academic query intent, the study draw the approximate proportions and given the characteristics, scenarios and result pages of the query.
Wang Ruixue
,
Fang Jing
,
Li Xin
,
Lu Wei
,
Zhang Xian
. The Construction and Analysis of Academic Query Intent Taxonomy: An Empirical Study of Baidu's Academic Search Query Log[J]. Library and Information Service, 2021
, 65(4)
: 73
-80
.
DOI: 10.13266/j.issn.0252-3116.2021.04.008
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