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Knowledge Based Systems
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#1Shun Zhang (Anda: Anhui University)H-Index: 5
#2Laixiang Liu (Anda: Anhui University)
Last.Hong Zhong (Anda: Anhui University)H-Index: 12
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Abstract Probabilistic matrix factorization (PMF) plays a crucial role in recommendation systems. It requires a large amount of user data (such as user shopping records and movie ratings) to predict personal preferences, and thereby provides users high-quality recommendation services, which expose the risk of leakage of user privacy. Differential privacy, as a provable privacy protection framework, has been applied widely to recommendation systems. It is common that different individuals have di...
#1Mauajama Firdaus (IITP: Indian Institute of Technology Patna)H-Index: 1
#2Ankit Kumar (IITP: Indian Institute of Technology Patna)H-Index: 1
Last.Pushpak Bhattacharyya (IITP: Indian Institute of Technology Patna)H-Index: 22
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Abstract Spoken language understanding (SLU) plays an integral part in every dialogue system. To understand the intention of the user and extract the necessary information to help the user achieve desired goals is a challenging task. In this work, we propose an end-to-end hierarchical multi-task model that can jointly perform both intent detection and slot filling tasks for the datasets of varying domains. The primary aim is to capture context information in a dialogue to help the SLU module in ...
#1Shantian Yang (University of Electronic Science and Technology of China)
#2Bo Yang (University of Electronic Science and Technology of China)H-Index: 19
Last.Zhongfeng Kang (University of Electronic Science and Technology of China)
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Abstract Intelligent traffic signal control helps to reduce traffic congestion and thus has been studied for a few decades. Multi-intersection cooperative traffic signal control (CTSC), which is more practical than single-intersection traffic signal control, has attracted much attention and research in recent years. Existing works on multi-intersection CTSC make responsive policies based on the sequence of agents’ actions. One issue in multi-intersection CTSC is that every agent’s actions are ma...
#1Bing Liu (CAS: Chinese Academy of Sciences)H-Index: 1
#2Yong Zhou (CUMT: China University of Mining and Technology)
Last.Xinqiu Fang (CUMT: China University of Mining and Technology)
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Abstract In recent years, salient object detection via robust principal component analysis (RPCA) has received a significant amount of attention. Existing methods generally replace the rank function by the nuclear norm to obtain low-rank and sparse matrices, ignores the heavy-tailed distributions of singular values and over-penalizes large singular values of low rank matrices. In addition, although the manifold regularization is introduced into RPCA to obtain satisfactory low-rank representation...
#1Hongzhi Zhang (CAS: Chinese Academy of Sciences)H-Index: 1
#2Guangluan Xu (CAS: Chinese Academy of Sciences)H-Index: 2
Last.Tinglei Huang (CAS: Chinese Academy of Sciences)H-Index: 1
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Abstract Relation detection is a key component of knowledge base question answering (KBQA). Existing methods mainly focus on learning semantic relevance between the question and the candidate relation, which is challenging due to the lexical variation (i.e. lexical gaps) especially for relations with few annotated samples. In this paper, we propose to estimate the semantic relevance from both the traditional question-relation view and a novel question-question view, which leverages the similarit...
#1Tin C. Truong (Ton Duc Thang University)H-Index: 6
Last.Unil Yun (Sejong University)H-Index: 24
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Abstract Discovering high average utility itemsets (HAUIs) in a quantitative database is a popular data mining task, which aims at identifying sets of products (items) purchased together that have a high importance or yield a high profit. However, a key challenge of HAUI mining is that the downward-closure property (DCP) does not hold for the average-utility measure. Many studies have designed average-utility upper-bounds (UBs), which satisfy the DCP, to overestimate the average-utilities of ite...
#1Hengjie Zhang (Hohai University)H-Index: 11
#2Jing Xiao (Nanjing University of Science and Technology)
Last.Yucheng Dong (Sichuan University)H-Index: 35
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Abstract Failure mode and effect analysis (FMEA) is one of the most powerful pre-accident risk management techniques and has been extensively used in various fields. Nevertheless, consensus issues and incomplete assessment information are rarely investigated in the current FMEA method. This paper integrates a consensus-reaching mechanism into the FMEA framework and adopts incomplete linguistic distribution assessments to represent risk assessment information. In the constructed FMEA framework, a...
#1Yu Wei (Xi'an Jiaotong University)
#2Xi Zhao (Xi'an Jiaotong University)H-Index: 15
Last.Enrique Herrera-Viedma (UGR: University of Granada)H-Index: 75
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Abstract Location recommendation in a city district plays an essential role for people city experience. Most existing studies consider user mobility data as implicit feedback, and adopt collaborative filtering frameworks to make recommendations. However, most of them treat all unvisited locations as negative examples. This method fails to provide details about users preferences, such as graded ratings in explicit feedback. To cope with this problem, we define geographically similar friends, and ...
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