Article
Education, Scientific Disciplines
Helen R. Church, Lina Fazlanie
Summary: E-posters have become essential tools for larger national and international conferences, especially after the disruption caused by the COVID-19 pandemic in 2020. There is also potential for smaller-scale e-poster sessions to be organized at local or regional levels to continue promoting academic exchange.
Article
Chemistry, Multidisciplinary
Amanda Bongers
Summary: Research poster sessions are an excellent example of how scientists rely not only on technical skills but also on interpersonal interactions, communication, and other behaviors learned from participating in social environments.
JOURNAL OF CHEMICAL EDUCATION
(2022)
Editorial Material
Chemistry, Multidisciplinary
Michelle Francl
Summary: Posters were created to accommodate the increasing number of scientists and conferences, offering a platform for those not included in oral presentations. However, it remains unclear why poster sessions predominantly involve students.
Proceedings Paper
Computer Science, Hardware & Architecture
Jesus Camara, Jose-Carlos Cano, Javier Cuenca, Toshiyuki Maeda, Mariano Saura-Sanchez, Lewis Tseng, Akiyoshi Wakatani, Martina Barnas
Summary: This paper provides an overview of the posters accepted for the EduPar 21 poster session, highlighting the importance of poster sessions in the workshop. The authors mention a hiatus caused by the COVID-19 pandemic and the decision to resume the poster session tradition by holding the first virtual poster session in EduPar's history.
2021 IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS (IPDPSW)
(2021)
Article
History
Linda Ries
Summary: The Pennsylvania Historical Association organizes a poster session at its annual meeting for college students to showcase their research as emerging scholars in the field of Pennsylvania and Mid-Atlantic history. After a two-year hiatus, the annual conference resumed in 2022, allowing for in-person meetings, including the poster session.
PENNSYLVANIA HISTORY-A JOURNAL OF MID-ATLANTIC STUDIES
(2023)
Article
Computer Science, Information Systems
Yunbo Rao, Tongze Mu, Shaoning Zeng, Junming Xue, Jinhua Liu
Summary: In this paper, a multi-session aware hypergraph neural network (MA-HGNN) is proposed for session-based recommendation, which utilizes hypergraphs to model complex multivariate relationships in sessions and solves the hyperedge isomorphism problem by preserving sequence information. Meanwhile, the co-occurrence graph structure and the local session graph structure are established to connect similar user intentions in different sessions and potential behavior patterns in the same session. Experimental results demonstrate the effectiveness of the proposed method.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Hardware & Architecture
Yen-Liang Chen, Chia-Chi Wu, Po-Cheng Shih
Summary: In e-commerce, session-based personalized recommendation is challenging due to limited user information within a single session. This study introduces the concept of personalized next session (PNS) to enhance the quality of recommendations by selectively referencing sessions most relevant to the user.
JOURNAL OF SUPERCOMPUTING
(2023)
Article
Education & Educational Research
Jennifer Duckworth, Catherine Halliwell
Summary: Preparing and presenting a scientific poster at a conference can help undergraduates develop a range of skills that are valuable for further study and the workplace. This study focused on an asynchronous online poster session in a final year undergraduate science module at a UK university, examining evidence of higher-order skill development and student perceptions of the benefits and challenges of participating in the session.
INTERNATIONAL REVIEW OF RESEARCH IN OPEN AND DISTRIBUTED LEARNING
(2022)
Article
Chemistry, Analytical
Osama Younes, Umar Albalawi
Summary: The session initiation protocol (SIP) is widely used for multimedia communication, but it faces various security threats. This paper introduces a new protocol called secure-SIP (S-SIP) to overcome the security flaws of SIP and provide authentication, confidentiality, and integrity. S-SIP consists of two protocols: A-SIP for authentication and KP-SIP for key management. Through security analyses, it is demonstrated that S-SIP is secure and outperforms other related protocols in terms of security and performance.
Article
Computer Science, Artificial Intelligence
Xiaohui Zhang, Huifang Ma, Zihao Gao, Zhixin Li, Liang Chang
Summary: Session-based recommendation is becoming increasingly important in online services. However, existing methods face challenges of data sparsity and noisy signals. This study proposes a novel model, which leverages cross-session information and knowledge-awareness to overcome these challenges and improve recommendation performance.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2022)
Article
Psychology, Clinical
Debra J. Rickwood, Sabina Albrecht, Nic Telford
Summary: This study developed a measure to assess the session experience of youth mental health care, which demonstrated high internal consistency and provided important information for routine sessions. The study also found a significant age effect, indicating that young adults had more positive session experiences than adolescents.
PSYCHOLOGY RESEARCH AND BEHAVIOR MANAGEMENT
(2023)
Article
Computer Science, Information Systems
Nan Wang, Shoujin Wang, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun
Summary: The study introduces a novel hypergraph learning framework (HL) to improve the accuracy of Session-based recommender systems (SBRSs). The framework consists of three modules: hypergraph construction, hypergraph learning, and next-item prediction modules, aiming to enhance the accuracy of next-item recommendations by learning intra- and inter-session dependencies.
WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Yuan Wu, Jin Gou
Summary: In this study, a novel session-based recommendation method LNIDA is proposed to improve recommendation effectiveness by utilizing neighborhood session information and a dual attentive neural network. Experimental results on three benchmark datasets show the effectiveness of LNIDA in modeling both current session information and neighborhood session information simultaneously.
Article
Computer Science, Information Systems
Alfan Farizki Wicaksono, Alistair Moffat
Summary: This paper introduces a session-based offline evaluation framework for measuring the overall usefulness of search sessions. By modeling data from two commercial search engines, the user conditional continuation probability and user conditional reformulation probability are proposed to develop new metrics that show greater correlation with observed user behavior during search sessions.
INFORMATION PROCESSING & MANAGEMENT
(2021)
Article
Computer Science, Artificial Intelligence
Jinfang Sheng, Jiafu Zhu, Bin Wang, Zhendan Long
Summary: Session-based recommendation algorithm is a research hotspot with economic significance and research value. The GS-GNN algorithm proposed in this study integrates global and local features of items using graph neural network, showing improved effectiveness in recommendation tasks.
APPLIED INTELLIGENCE
(2023)