Query Intent Understanding

2020 ◽  
pp. 69-101
Author(s):  
Zhicheng Dou ◽  
Jiafeng Guo
Keyword(s):  
Query Intent

Long Tail Query Recommendation Based on Query Intent

2014 ◽  
Vol 36 (3) ◽  
pp. 636-642 ◽  
Author(s):  
Lu BAI ◽  
Jia-Feng GUO ◽  
Lei CAO ◽  
Xue-Qi CHENG
Keyword(s):  
Long Tail ◽  
Query Recommendation ◽  
Query Intent

Dynamic Query Intent Prediction from a Search Log Stream

2016 ◽  
Vol 6 (2) ◽  
pp. 66-85
Author(s):  
Wael K. Hanna ◽  
Aziza Saad Asem ◽  
M. B. Senousy
Keyword(s):  
Experimental Data ◽  
Search Engines ◽  
Evaluation Metrics ◽  
Search Query ◽  
Data Set ◽  
Query Log ◽  
Search Queries ◽  
Query Intent ◽  
Query Logs ◽  
Intent Prediction

The users that used search engines are obligated to express their goals in few words (queries). Sometimes search queries are ambiguous. Moreover, the users' intents are dynamically evolving. This paper analyzes the user's query logs to classify the related queries, the related intent topic categories and the related intent types and use this classification to dynamically predict the users' future queries, its intent topic and its intent type. AOL Search Query Log is taken as an experimental data set. Then use evaluation metrics to evaluate the prediction results.

Example-driven query intent discovery

2019 ◽  
Vol 12 (11) ◽  
pp. 1262-1275 ◽  
Author(s):  
Anna Fariha ◽  
Alexandra Meliou
Keyword(s):  
Query Intent

scholarly journals Deep Bi-Directional LSTM Network for Query Intent Detection

2018 ◽  
Vol 143 ◽  
pp. 939-946 ◽  
Author(s):  
K Sreelakshmi ◽  
P C Rafeeque ◽  
S Sreetha ◽  
E S Gayathri
Keyword(s):  
Query Intent ◽  
Lstm Network
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