@inproceedings{6296f6cd6ffa4197bfea2fa9f775bbf6,
title = "How users select query suggestions under different satisfaction states?",
abstract = "Query suggestion (or recommendation) has become an important technique in commercial search engines (e.g., Google, Bing and Baidu) in order to improve users{\textquoteright} search experience. Most existing studies on query suggestion focus on formalizing various query suggestion models, while ignoring the study on investigating how users select query suggestions under different satisfaction states. Specifically, although a number of effective query suggestion models have been proposed, some basic problems have not been well investigated. For example, (i) how much the importance of query suggestion feature for users with respect to different queries; (ii) how user{\textquoteright}s satisfaction for current search results will influence the selection of query suggestions. In this paper, we conduct extensive user study with a search engine interface in order to investigate above problems. Through the user study, we gain a series of insightful findings which may benefit for the design of future search engine and query suggestion models.",
keywords = "Eye tracking, Novelty, Query suggestion, User satisfaction, User study",
author = "Zhenguo Shang and Jingfei Li and Peng Zhang and Dawei Song and Benyou Wang",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 23rd China conference on Information Retrieval, CCIR 2017 ; Conference date: 13-07-2017 Through 14-07-2017",
year = "2017",
doi = "10.1007/978-3-319-68699-8\_8",
language = "English",
isbn = "9783319686981",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "93--105",
editor = "Jianyun Nie and Tong Ruan and Tieyun Qian and Jirong Wen and Yiqun Liu",
booktitle = "Information Retrieval - 23rd China conference, CCIR 2017, Proceedings",
address = "Germany",
}