This paper aims to tackle the very interesting and important problem of user personalized ranking of search results. The focus is on news retrieval and the data from which the ran...
The content and searching method of knowledge base are lack of the consideration of user requirements, it is difficult for the user to select the knowledge satisfy with the user r...
Abstract. This paper presents an agent-based, high-level security system for user verification. The system verifies a user's identity by processing data from several low-lever...
Erik Dovgan, Bostjan Kaluza, Tea Tusar, Matjaz Gam...
Abstract. In the present paper we describe IntelliDomo's learning model, an ontology-based expert system able to control a home automation system and to learn user's beha...
In this paper, we construct two verifiable attribute-based encryption (VABE) schemes. One is with a single authority, and the other is with multi authorities. Not only our schemes ...
The process of learning models from raw data typically requires a substantial amount of user input during the model initialization phase. We present an assistive visualization sys...
In this paper, we introduce ALIDA, an Active Learning Intent Discerning Agent for visual analytics interfaces. As users interact with and explore data in a visual analytics enviro...
Today's Internet services increasingly use IP-based geolocation to specialize the content and service provisioning for each user. However, these systems focus almost exclusiv...
Andreas Pitsillidis, Yinglian Xie, Fang Yu, Mart&i...
— This paper addresses the need for geospatial consumers (either humans or machines) to visualize multicolored elevation contour poly lines with respect their different contour i...
Modeling a user’s click-through behavior in click logs is a challenging task due to the well-known position bias problem. Recent advances in click models have adopted the examin...
Botao Hu, Yuchen Zhang, Weizhu Chen, Gang Wang, Qi...