@inproceedings{bd49474798484d9da8258d87a63f5138,
title = "Query prediction by currently-browsed web pages and its applications",
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.",
keywords = "Context-aware, Prediction, Query recommendation, Trigger, Webpage",
author = "Hung, {Hui Ju} and Cheng, {Pu Jen}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014.; International Workshops on Data Mining and Decision Analytics for Public Health, Biologically Inspired Data Mining Techniques, Mobile Data Management, Mining, and Computing on Social Networks, Big Data Science and Engineering on E-Commerce, Cloud Service Discovery, MSMV-MBI, Scalable Dats Analytics, Data Mining and Decision Analytics for Public Health and Wellness, Algorithms for Large-Scale Information Processing in Knowledge Discovery, Data Mining in Social Networks, Data Mining in Biomedical informatics and Healthcare, Pattern Mining and Application of Big Data in conjunction with 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014 ; Conference date: 13-05-2014 Through 16-05-2014",
year = "2014",
doi = "10.1007/978-3-319-13186-3_17",
language = "???core.languages.en_GB???",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "181--193",
editor = "Wen-Chih Peng and Haixun Wang and Zhi-Hua Zhou and Ho, {Tu Bao} and Tseng, {Vincent S.} and Chen, {Arbee L.P.} and James Bailey",
booktitle = "Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2014 International Workshops",
}