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Advances and Challenges in Conversational Recommender Systems: A Survey [article]

Chongming Gao, Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua
2021 arXiv   pre-print
We hope this survey can help to identify and address challenges in CRSs and inspire future research.  ...  Recommender systems exploit interaction history to estimate user preference, having been heavily used in a wide range of industry applications.  ...  Acknowledgments This work is supported by the National Natural Science Foundation of China (U19A2079, 61972372) and the National Key Research and Development Program of China (2020AAA0106000).  ... 
arXiv:2101.09459v6 fatcat:j7djzhrv6fazpogmnj7r4e4f2y

Advances and challenges in conversational recommender systems: A survey

Chongming Gao, Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua
2021 AI Open  
We hope this survey can help to identify and address challenges in CRSs and inspire future research.  ...  A B S T R A C T Recommender systems exploit interaction history to estimate user preference, having been heavily used in a wide range of industry applications.  ...  Acknowledgments This work is supported by the National Natural Science Foundation of China (61972372, U19A2079) and the National Key Research and Development Program of China (2020YFB1406703, 2020AAA0106000  ... 
doi:10.1016/j.aiopen.2021.06.002 fatcat:4r26fmsuvjcyla5wycb2ax62ha

A Survey on Conversational Recommender Systems [article]

Dietmar Jannach, Ahtsham Manzoor, Wanling Cai, Li Chen
2020 arXiv   pre-print
Conversational recommender systems (CRS) take a different approach and support a richer set of interactions.  ...  With this paper, we provide a detailed survey of existing approaches to conversational recommendation.  ...  Such conversation patterns are rather typical for one-shot query-answering, search and recommendation systems that are not in the scope of our survey.  ... 
arXiv:2004.00646v1 fatcat:bn3s5kb7zbavtitywb6alimfju

A Survey of e-Commerce Recommender Systems

Farida Karimova
2016 European Scientific Journal  
By examining the recent publications in the field, our research provides thorough analysis of current advancements and attempts to identify the existing issues in recommender systems.  ...  This paper reviews recent developments in recommender systems in the domain of ecommerce.  ...  So finding best similar users and achieving higher recommendation accuracy is a major challenge in RS.  ... 
doi:10.19044/esj.2016.v12n34p75 fatcat:5jzyl75lpfajzf3bdleoozt45u

A Survey on Reinforcement Learning for Recommender Systems [article]

Yuanguo Lin, Yong Liu, Fan Lin, Pengcheng Wu, Wenhua Zeng, Chunyan Miao
2021 arXiv   pre-print
Nevertheless, there are various challenges of RL when applying in recommender systems.  ...  Recommender systems have been widely applied in different real-life scenarios to help us find useful information.  ...  the challenges of applying (D)RL in recommender systems.  ... 
arXiv:2109.10665v1 fatcat:whrqgxcb4fa53omquvpy6nitjm

A Survey on Session-based Recommender Systems [article]

Shoujin Wang, Longbing Cao, Yan Wang, Quan Z. Sheng, Mehmet Orgun, Defu Lian
2021 arXiv   pre-print
In recent years, session-based recommender systems (SBRSs) have emerged as a new paradigm of RSs.  ...  Recommender systems (RSs) have been playing an increasingly important role for informed consumption, services, and decision-making in the overloaded information era and digitized economy.  ...  Liang Hu and Mr. Yan Zhao for their constructive suggestions on this work. This work was supported by Australian Research Council Discovery Grants (DP180102378, DP190101079 and FT190100734).  ... 
arXiv:1902.04864v3 fatcat:oka5bvibzzbk5oreltrupehaey

A Survey on Dialogue Systems: Recent Advances and New Frontiers [article]

Hongshen Chen, Xiaorui Liu, Dawei Yin, Jiliang Tang
2018 arXiv   pre-print
language processing, and recommender systems.  ...  In this article, we give an overview to these recent advances on dialogue systems from various perspectives and discuss some possible research directions.  ...  processing and recommender systems.  ... 
arXiv:1711.01731v3 fatcat:6wuovcynqbhlzmuorchn4mn6ma

Recommender system application developments: A survey

Jie Lu, Dianshuang Wu, Mingsong Mao, Wei Wang, Guangquan Zhang
2015 Decision Support Systems  
By providing a state-of-the-art knowledge, this survey will directly support researchers and practical professionals in their understanding of developments in recommender system applications.  ...  Researchers and managers recognize that recommender systems offer great opportunities and challenges for business, government, education, and other domains, with more recent successful developments of  ...  Several survey papers on recommender systems have been published in the last few years.  ... 
doi:10.1016/j.dss.2015.03.008 fatcat:y4phvn677zaondsbjkn56orxt4

Reinforcement learning based recommender systems: A survey [article]

M. Mehdi Afsar, Trafford Crump, Behrouz Far
2021 arXiv   pre-print
In this paper, a survey on reinforcement learning based recommender systems (RLRSs) is presented.  ...  Finally, we discuss important aspects and challenges that can be addressed in the future.  ...  In the end, we hope this survey can assist researchers in understanding the key concepts and help advance the field in the future.  ... 
arXiv:2101.06286v1 fatcat:e234kqjtujazpdvt2wjek4et4i

Deep Learning based Recommender System: A Survey and New Perspectives [article]

Shuai Zhang, Lina Yao, Aixin Sun, Yi Tay
2018 arXiv   pre-print
Evidently, the field of deep learning in recommender system is flourishing. This article aims to provide a comprehensive review of recent research efforts on deep learning based recommender systems.  ...  More concretely, we provide and devise a taxonomy of deep learning based recommendation models, along with providing a comprehensive summary of the state-of-the-art.  ...  Contributions of this survey. e goal of this survey is to thoroughly review literature on the advances of deep learning based recommender system.  ... 
arXiv:1707.07435v6 fatcat:2q2dbfy2jvdydhbrmmbyrzctnq

Recommender Systems Research: A Connection-Centric Survey

Saverio Perugini, Marcos André Gonçalves, Edward A. Fox
2004 Journal of Intelligent Information Systems  
While research in recommender systems grew out of information retrieval and filtering, the topic has steadily advanced into a legitimate and challenging research area of its own.  ...  Therefore, ultimately all recommender systems make connections among people and thus should be surveyed from such a perspective.  ...  We thank Naren Ramakrishnan for planting the idea for this survey during his Spring 2001 offering of CS6604: Recommender Systems at Virginia Tech.  ... 
doi:10.1023/b:jiis.0000039532.05533.99 fatcat:rscxs4oypfffpkvkbntzz4xnx4

KMapper: A Field Geological Survey System

Young-Kwang Yeon
2021 ISPRS International Journal of Geo-Information  
The system integrates geographic information system functions and smart sensors to execute field geological surveys effectively and can express various collections on a map.  ...  The developed app can replace traditional recording media used in field geological surveying and exploration work.  ...  Acknowledgments: The author would like to thank members of the KIGAM Geological Research Center for their helpful suggestions and discussions in various practical field survey experiences, and would like  ... 
doi:10.3390/ijgi10060405 fatcat:cx27gx2wtzetbaj6leiszexgju

Cyber-Physical Systems Security -- A Survey [article]

Abdulmalik Humayed, Jingqiang Lin, Fengjun Li, Bo Luo
2017 arXiv   pre-print
With the exponential growth of cyber-physical systems (CPS), new security challenges have emerged.  ...  In this paper, we capture and systematize existing research on CPS security under a unified framework.  ...  In this survey, we first briefly introduce CPS, with a special focus on how they are different from either legacy control systems or traditional IT systems.  ... 
arXiv:1701.04525v1 fatcat:fywwmb5oebbdzonvmieyniip4e

Cybersecurity for Industrial Control Systems: A Survey [article]

Deval Bhamare, Maede Zolanvari, Aiman Erbad, Raj Jain, Khaled Khan, Nader Meskin
2020 arXiv   pre-print
A compromise to ICS can lead to enormous physical damage and danger to human lives. In this work, we have a close look at the shift of the ICS from stand-alone systems to cloud-based environments.  ...  As a result, ICSs have been exposed to the attack vectors used in the majority of cyber-attacks. However, ICS devices are inherently much less secure against such advanced attack scenarios.  ...  It is suggested to do the protocol conversion close to the field devices, and a lot more that can be further studied in the paper.  ... 
arXiv:2002.04124v1 fatcat:xh464lhc6vgepmaow7x2crewby

Safety-critical advanced robots: A survey

Jérémie Guiochet, Mathilde Machin, Hélène Waeselynck
2017 Robotics and Autonomous Systems  
Developing advanced robotics applications is now facing the confidence issue for users, which is a main limitation for their deployment in real life.  ...  This paper reviews the main issues and research work in the field of dependable robots, making the link between the dependability and robotics concepts.  ...  It is already a main challenge in critical applications, from transportation to aeronautics, and it will be obviously a core challenge for robots deployment.  ... 
doi:10.1016/j.robot.2017.04.004 fatcat:hpodz3ryivgjdgoscgxc43sorm
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