A Survey of Multimedia Recommender Systems: Challenges and Opportunities

2017 ◽  
Vol 11 (03) ◽  
pp. 411-428 ◽  
Author(s):  
Mouzhi Ge ◽  
Fabio Persia
Keyword(s):  
Multimedia Information ◽  
Recommender Systems ◽  
Recommender System ◽  
Future Research ◽  
Research Directions ◽  
Research Challenges ◽  
Challenges And Opportunities ◽  
Future Research Directions ◽  
Research Challenge

Multimedia information has been extensively growing from a variety of sources such as cameras or video recorders. In order to select the useful multimedia objects, multimedia recommender system has been emerging as a tool to help users choose which multimedia objects might be interesting for them. However, given the complexity of multimedia objects, it is challenging to provide effective multimedia recommendations. In this paper, we therefore conduct a survey in both the multimedia information system and recommender system communities. We further focus on the works that span the two communities, especially the research on multimedia recommender systems. Based on our review, we propose a set of research challenges, which can be used to implicate the future research directions for multimedia recommender systems. For each research challenge, we have also provided the insights of how to perform the follow-up research.

scholarly journals Challenges and Opportunities in Robotic Food Handling: A Review

2022 ◽  
Vol 8 ◽  
Author(s):  
Zhongkui Wang ◽  
Shinichi Hirai ◽  
Sadao Kawamura
Keyword(s):  
Low Cost ◽  
Food Products ◽  
Future Research ◽  
Food Handling ◽  
Research Directions ◽  
Fundamental Information ◽  
Food Recognition ◽  
Challenges And Opportunities ◽  
Future Research Directions ◽  
End Effectors

Despite developments in robotics and automation technologies, several challenges need to be addressed to fulfill the high demand for automating various manufacturing processes in the food industry. In our opinion, these challenges can be classified as: the development of robotic end-effectors to cope with large variations of food products with high practicality and low cost, recognition of food products and materials in 3D scenario, better understanding of fundamental information of food products including food categorization and physical properties from the viewpoint of robotic handling. In this review, we first introduce the challenges in robotic food handling and then highlight the advances in robotic end-effectors, food recognition, and fundamental information of food products related to robotic food handling. Finally, future research directions and opportunities are discussed based on an analysis of the challenges and state-of-the-art developments.

scholarly journals Beyond Intra-modality: A Survey of Heterogeneous Person Re-identification

2020 ◽  
Author(s):  
Zheng Wang ◽  
Zhixiang Wang ◽  
Yinqiang Zheng ◽  
Yang Wu ◽  
Wenjun Zeng ◽  
...  
Keyword(s):  
Video Analysis ◽  
State Of The Art ◽  
Future Research ◽  
Low Resolution ◽  
Research Directions ◽  
Comprehensive Review ◽  
Practical Applications ◽  
Future Research Directions

An efficient and effective person re-identification (ReID) system relieves the users from painful and boring video watching and accelerates the process of video analysis. Recently, with the explosive demands of practical applications, a lot of research efforts have been dedicated to heterogeneous person re-identification (Hetero-ReID). In this paper, we provide a comprehensive review of state-of-the-art Hetero-ReID methods that address the challenge of inter-modality discrepancies. According to the application scenario, we classify the methods into four categories --- low-resolution, infrared, sketch, and text. We begin with an introduction of ReID, and make a comparison between Homogeneous ReID (Homo-ReID) and Hetero-ReID tasks. Then, we describe and compare existing datasets for performing evaluations, and survey the models that have been widely employed in Hetero-ReID. We also summarize and compare the representative approaches from two perspectives, i.e., the application scenario and the learning pipeline. We conclude by a discussion of some future research directions. Follow-up updates are available at https://github.com/lightChaserX/Awesome-Hetero-reID

Recommender Systems Review of Types, Techniques, and Applications

2015 ◽  
pp. 7260-7270 ◽  
Author(s):  
George A. Sielis ◽  
Aimilia Tzanavari ◽  
George A. Papadopoulos
Keyword(s):  
Recommender Systems ◽  
Recommendation Systems ◽  
Software Tools ◽  
Future Research ◽  
Research Directions ◽  
Different Types ◽  
Future Research Directions

Recommender or recommendation systems are software tools that make useful suggestions to users, by taking into account their profile, preferences and/or actions during interaction with an application or website. They are usually personalized and can refer to items to buy, people to connect to or books/ articles to read. Recommender Systems (RS) aim at helping users with their interaction by bringing to surface the information that is relevant to them, their needs, or their tasks. This article's objective is to present a review of the different types of RS, the techniques and methods used for building such systems, the algorithms used to generate the recommendations and how these systems can be evaluated. Finally, a number of topics are discussed as envisioned future research directions.

Group Synchronization for Multimedia Systems

2019 ◽  
pp. 229-241
Author(s):  
Dimitris N. Kanellopoulos
Keyword(s):  
Multimedia Information ◽  
Multimedia Applications ◽  
Multimedia Systems ◽  
Future Research ◽  
Research Directions ◽  
Media Synchronization ◽  
Future Research Directions ◽  
Group Synchronization

Group or inter-destination media synchronization (IDMS) addresses the presentation of a stream at all the receivers of a group, simultaneously. To ensure synchronized delivery of multimedia information, intelligent synchronization protocols/techniques are required. This chapter illustrates various issues on intra- and inter-media synchronization and presents the basic schemes for inter-destination media synchronization (IDMS). It presents in short IDMS standardization efforts and novel solutions for new multimedia applications. Finally, it outlines future research directions for multimedia group synchronization.

scholarly journals Machine learning for energy-water nexus: challenges and opportunities

2018 ◽  
Vol 2 (3) ◽  
pp. 228-267 ◽  
Author(s):  
Zaidi ◽  
Chandola ◽  
Allen ◽  
Sanyal ◽  
Stewart ◽  
...  
Keyword(s):  
Machine Learning ◽  
Energy Systems ◽  
Machine Learning Techniques ◽  
Future Research ◽  
Technological Advancement ◽  
Research Directions ◽  
Learning Techniques ◽  
Challenges And Opportunities ◽  
Future Research Directions ◽  
System Sustainability

Modeling the interactions of water and energy systems is important to the enforcement of infrastructure security and system sustainability. To this end, recent technological advancement has allowed the production of large volumes of data associated with functioning of these sectors. We are beginning to see that statistical and machine learning techniques can help elucidate characteristic patterns across these systems from water availability, transport, and use to energy generation, fuel supply, and customer demand, and in the interdependencies among these systems that can leave these systems vulnerable to cascading impacts from single disruptions. In this paper, we discuss ways in which data and machine learning can be applied to the challenges facing the energy-water nexus along with the potential issues associated with the machine learning techniques themselves. We then survey machine learning techniques that have found application to date in energy-water nexus problems. We conclude by outlining future research directions and opportunities for collaboration among the energy-water nexus and machine learning communities that can lead to mutual synergistic advantage.

Intermittent Motivational Interviewing and Transdiagnostic CBT for Anxiety: A Case Study

2019 ◽  
Vol 18 (4) ◽  
pp. 300-318 ◽  
Author(s):  
Isabella Marker ◽  
Peter J. Norton
Keyword(s):  
Treatment Outcome ◽  
Motivational Interviewing ◽  
Integrated Approach ◽  
Future Research ◽  
Cognitive Behavior ◽  
Research Directions ◽  
Future Research Directions ◽  
Clinically Significant

Recent meta-analytic findings have revealed that the addition of motivational interviewing (MI) to cognitive behavior therapy (CBT) for anxiety disorders improves treatment outcome. However, for the most part, previous research has limited MI as a prelude to CBT. This article explored the benefits and complications of a more integrated approach by adapting and examining an already established transdiagnostic CBT protocol to include intermittent MI strategies. The presented protocol is described and illustrated using a case study of a woman meeting criteria for four anxiety disorder diagnoses. This study presents session-by-session treatment accounts, as well as pre, post, and follow-up data. Results indicated clinically significant improvement, supporting the utility of intermittent MI strategies within CBT. Implementation recommendations and future research directions are discussed.

Minimal important changes and differences in elective hand surgery

2014 ◽  
Vol 40 (9) ◽  
pp. 900-912 ◽  
Author(s):  
J. N. Rodrigues ◽  
N. T. Mabvuure ◽  
D. Nikkhah ◽  
Z. Shariff ◽  
T. R. C. Davis
Keyword(s):  
Outcome Measures ◽  
Hand Surgery ◽  
Future Research ◽  
Level Of Evidence ◽  
Research Directions ◽  
Future Research Directions ◽  
Minimal Important Differences

Minimal important changes and differences describe the smallest changes and differences between individuals that are relevant to patients following treatment. Minimal important differences may vary between conditions, treatments and lengths of follow-up, and can be calculated in different ways. Minimal important differences for elective hand surgery were reviewed. A total of 99 minimal important differences were identified in 29 articles. The conditions, treatments, outcome measures used and follow-up periods are discussed. The Disabilities of the Arm, Shoulder and Hand had the most estimates of minimal important differences, but these varied. The methods used in the included studies were reviewed and appraised. Most minimal important differences were calculated using retrospective anchors. Future research directions in this area are suggested. Level of evidence: II

scholarly journals Pre-service Teachers with Disabilities: Challenges and Opportunities for Directors of Student Teaching in Western Canada

2017 ◽  
Vol 8 (3) ◽  
Author(s):  
Laura Sokal ◽  
Debra Woloshyn ◽  
Alina Wilson
Keyword(s):  
Teacher Education ◽  
Student Teaching ◽  
Future Research ◽  
Western Canada ◽  
Research Directions ◽  
Canadian Universities ◽  
Challenges And Opportunities ◽  
Future Research Directions ◽  
Practicum Experiences ◽  
Canadian Research

In response to the lack of Canadian research about the practicum experiences of pre-service teachers with disabilities, a survey of ten Directors of Student Teaching in Western Canadian universities was conducted and revealed both strengths and challenges in current practices. Recommendations for teacher education are explored, and several future research directions are highlighted. En réponse à l’absence de recherche sur les expériences de stage des enseignants en formation souffrant d’invalidité, un sondage a été effectué auprès de dix directeurs de stagiaires dans des universités de l’Ouest du Canada. Le sondage a révélé à la fois les points forts et les défis présentés par les pratiques actuelles. Des recommandations pour la formation des enseignants sont explorées et plusieurs futurs axes de recherche sont présentés.

scholarly journals Security Threats and Research Challenges of IoT - A Review

2020 ◽  
Vol 01 (04) ◽  
pp. 170-182
Author(s):  
A K M Bahalul Haque ◽  
Sonia Tasmin
Keyword(s):  
Future Research ◽  
Security Threats ◽  
Security Attacks ◽  
Research Directions ◽  
Smart Systems ◽  
Security Issues ◽  
Heterogeneous Devices ◽  
Research Challenges ◽  
Future Research Directions

Internet of things (IoT) is the epitome of sustainable development. It has facilitated the development of smart systems, industrialization, and the state-of-the-art quality of life. IoT architecture is one of the essential baselines of understanding the widespread adoption. Security issues are very crucial for any technical infrastructure. Since IoT comprises heterogeneous devices, its security issues are diverse too. Various security attacks can be responsible for compromising confidentiality, integrity, and availability. In this paper, at first, the IoT architecture is described briefly. After that, the components of IoT are explained with perspective to various IoT based applications and services. Finally, various security issues, including recommended solutions, are elaborately described and the potential research challenges and future research directions.

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