@inproceedings{b5a1cae4f6d04437a05add8288cc50eb,
title = "SECC: A novel search engine interface with live chat channel",
abstract = "Traditional information retrieval systems rank documents according to their relevance to users' input queries. State of the art commercial search engines (SEs) train ranking models and suggest query refinements by exploiting collective intelligence implicitly using global users' query logs. However, they do not provide an explicit channel for users to communicate with each other in the search process. By asking or discussing with other users on the fly, a user could find relevant information more conveniently and gain a better search experience. In this paper, we present a demo of novel Search Engine with a live Chat Channel (SECC). SECC can group users automatically based on their input queries and allow them to communicate with each other in real time through a chat interface.",
keywords = "Chat channel, Collective intelligence, Information retrieval, Search engine",
author = "Cheng Zhang and Peng Zhang and Jingfei Li and Dawei Song",
note = "Publisher Copyright: {\textcopyright} 2016 ACM.; 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2016 ; Conference date: 17-07-2016 Through 21-07-2016",
year = "2016",
month = jul,
day = "7",
doi = "10.1145/2911451.2911454",
language = "English",
series = "SIGIR 2016 - Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval",
publisher = "Association for Computing Machinery, Inc",
pages = "1137--1140",
booktitle = "SIGIR 2016 - Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval",
}