Query Prediction by Currently-Browsed Web Pages and Its Applications.
Journal
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2014 International Workshops: DANTH, BDM, MobiSocial, BigEC, CloudSD, MSMV-MBI, SDA, DMDA-Health, ALSIP, SocNet, DMBIH, BigPMA,Tainan, Taiwan, May 13-16, 2014. Revised Selected Papers
Pages
181-193
Date Issued
2014
Author(s)
Hung, Hui-Ju
Abstract
This paper reveals the relation between a previously-browsed webpage and a query. First, we display that there are queries triggered by its previously-browsed webpage using real examples from the log. A query is triggered by a webpage means that the issued query is related to the webpage that the user had browsed before. Then an analysis is provided to show that almost 30% of queries following a webpage are triggered. A predictor is proposed to detect the triggered queries. We also demonstrate that the predictor can be enhanced by giving previous queries as context. Finally, we show that the prediction can be applied on a query recommendation system to suggest queries for the currently-browsed web page. ? Springer International Publishing Switzerland 2014.
SDGs
Other Subjects
Big data; Bioinformatics; Distributed computer systems; Forecasting; Information management; Mobile commerce; Public health; Social networking (online); Social sciences computing; Context-Aware; ITS applications; Query recommendations; Real example; Trigger; Web-page; Data mining
Type
conference paper