scholarly journals Sorting Search Results of Literature Digital Libraries: Recent Developments and Future Research Directions

10.5772/14561 ◽  
2011 ◽  
Author(s):  
Sulieman Bani-Ahmad
Keyword(s):  
Digital Libraries ◽  
Future Research ◽  
Research Directions ◽  
Search Results ◽  
Recent Developments ◽  
Future Research Directions

Frontiers in Service Science: Fintech Operations—An Overview of Recent Developments and Future Research Directions

2021 ◽  
Vol 13 (1) ◽  
pp. 19-35
Author(s):  
Baile Lu ◽  
Shuai Hao ◽  
Michael Pinedo ◽  
Yuqian Xu
Keyword(s):  
Future Research ◽  
Algorithmic Trading ◽  
Payment Systems ◽  
Research Directions ◽  
Operational Risks ◽  
Technology Industry ◽  
Recent Developments ◽  
Future Research Directions ◽  
Conclusion Section ◽  
Financial Technology

In this paper, we provide a survey of recent developments in the fintech (financial technology) industry, focusing on the operational structures, the technologies involved, and the operational risks associated with the new systems. In particular, we discuss payment systems, algorithmic trading, robo-advisory, crowdfunding, and peer-to-peer lending. In the conclusion section, we discuss various promising research directions.

Nonlinear Vibrations of Plates: An Update of Recent Research Developments

1996 ◽  
Vol 49 (10S) ◽  
pp. S55-S62 ◽  
Author(s):  
M. Sathyamoorthy
Keyword(s):  
Nonlinear Vibrations ◽  
Laminated Composite ◽  
Composite Plates ◽  
Future Research ◽  
Research Directions ◽  
Inertia Effects ◽  
Vibration Behavior ◽  
Recent Developments ◽  
Complicating Factors ◽  
Future Research Directions

This paper comprises a survey on the nonlinear vibration analysis of plates, with emphasis on research carried out since 1987. Most of the research reviewed here deals with the effects of geometric nonlinearity on the vibration behavior of plates. Complicating factors such as material nonlinearity, geometric imperfections, transverse shear and rotatory inertia effects, and magnetic fields on the vibration behavior are included. Recent developments in the analytical and numerical methods of solution of isotropic, orthotropic as well as laminated, composite plates are presented. Experimental, analytical, and numerical investigations are included for all the cases reviewed and some general remarks are presented along with suggestions for future research directions.

Category-Based Interfaces for Mobile Search

2015 ◽  
pp. 75-104
Author(s):  
Tomi Heimonen
Keyword(s):  
User Study ◽  
Information Access ◽  
Future Research ◽  
Information Need ◽  
Research Directions ◽  
Search Results ◽  
Future Research Directions ◽  
Mobile Context ◽  
The Web

One of the challenges with designing effective mobile search interfaces is how to present and explore the search results. Category-based result organization and presentation techniques have been suggested in literature as a complement to the traditional ranked result list. In the mobile context categories can facilitate information access by providing an overview of the result set, by reducing the need for keyword entry and by providing means to filter the results. This chapter includes a review of recent research on category-based interfaces for mobile search. The chapter also addresses the challenges of evaluating mobile search in situ and presents a longitudinal user study that investigated how a mobile clustering interface is used to search the Web. Results from the study show that category-based interaction can be situationally useful, for example when users have problems describing their information need or wish to retrieve a subset of results. In summary, the chapter proposes future research directions for category-based mobile search interfaces.

scholarly journals Review on Learning and Extracting Graph Features for Link Prediction

2020 ◽  
Vol 2 (4) ◽  
pp. 672-704
Author(s):  
Ece C. Mutlu ◽  
Toktam Oghaz ◽  
Amirarsalan Rajabi ◽  
Ivan Garibay
Keyword(s):  
Biological Networks ◽  
Link Prediction ◽  
Telecommunication Networks ◽  
Probabilistic Methods ◽  
Future Research ◽  
Data Sets ◽  
Relational Models ◽  
Research Directions ◽  
Recent Developments ◽  
Future Research Directions

Link prediction in complex networks has attracted considerable attention from interdisciplinary research communities, due to its ubiquitous applications in biological networks, social networks, transportation networks, telecommunication networks, and, recently, knowledge graphs. Numerous studies utilized link prediction approaches in order sto find missing links or predict the likelihood of future links as well as employed for reconstruction networks, recommender systems, privacy control, etc. This work presents an extensive review of state-of-art methods and algorithms proposed on this subject and categorizes them into four main categories: similarity-based methods, probabilistic methods, relational models, and learning-based methods. Additionally, a collection of network data sets has been presented in this paper, which can be used in order to study link prediction. We conclude this study with a discussion of recent developments and future research directions.

The concept of organisational projectification: past, present and beyond?

2019 ◽  
Vol 12 (3) ◽  
pp. 565-577 ◽  
Author(s):  
Harvey Maylor ◽  
Virpi Turkulainen
Keyword(s):  
Future Research ◽  
Discussion Paper ◽  
Research Directions ◽  
Policy Makers ◽  
Content Type ◽  
Recent Developments ◽  
Organisational Process ◽  
Future Research Directions ◽  
Published Research ◽  
Practical Implications

Purpose The purpose of this paper is to reflect on the past 25 years of the research on projectification, focusing especially on organisational aspects of projectification, as well as to discuss recent developments and potential future research directions. Design/methodology/approach This is a discussion paper, which draws on previously published research and data. Findings The first section identifies contexts in which projectification has taken place (projectification of) and the organisational process by which this has taken place (projectification through). Using an illustrative example based on publicly available data, the second section shows an extension of the organisational phenomenon, referred to as advanced organisational projectification. The paper concludes with a synthesised framework of organisational projectification. Research limitations/implications The paper provides a personal reflection and commentary and is focused on the conceptualisation of the term rather than an all-encompassing study of projectification. Based on the discussion, the paper presents a synthesised view of organisational projectification as well as directions for future research to advance the understanding of projectification. Practical implications The study has implications for policy-makers in the design of the process of ongoing projectification and provides illustrations and a warning concerning the assumptions that are made as an organisation advances in its projectification. Originality/value This paper provides an elaboration of one of the focal concepts of project studies, extending some of the key elements of project management research.

Data Visualisation in Business

2021 ◽  
pp. 126-136
Author(s):  
Remya Lathabhavan ◽  
K. M. S. V. D. Akshar
Keyword(s):  
Data Visualization ◽  
Future Research ◽  
Complex Data ◽  
Data Visualisation ◽  
Data Set ◽  
Research Directions ◽  
Aesthetic Form ◽  
Recent Developments ◽  
Future Research Directions ◽  
Key Aspects

The main objective of data visualization is to communicate information clearly and effectively through graphical means. It doesn't mean that data visualization needs to look boring to be functional or extremely sophisticated to look beautiful. To convey ideas effectively, both aesthetic form and functionality need to go hand in hand, providing insights into a rather sparse and complex data set by communicating its key-aspects in a more intuitive way. This chapter analyses the following aspects of data visualisation. First, it describes data visualisation. Second, it describes the importance of data visualisation in business. Third, it describes different types of data visualisation methods used in business and familiarises some tools available for data visualisation. Last, it describes the recent developments in data visualisation and its future research directions.

A Systematic Literature Review Of Web Search Personalization

2020 ◽  
Vol 13 ◽  
Author(s):  
Sunny Sharma ◽  
Vijay Rana
Keyword(s):  
Literature Review ◽  
Search Engines ◽  
Web Search ◽  
Geographical Location ◽  
Future Research ◽  
Research Directions ◽  
Search Results ◽  
Future Research Directions ◽  
The Web

: The Existing studies have already revealed that the information on the web is increasing rapidly. Ambiguous queries and user’s ability to express their intention through queries have been one of the key challenges in retrieving the accurate search results from the search engine. This paper in response explored different methodologies proposed during 2005-2019 by the eminent researchers for recommending better search results. Some of these methodologies are based on the users’ geographical location while others rely on re- rank the web results and refinement of user’s query. Fellow researchers can use this literature, to define the fundamental literature for their own work. Further a brief case study of major search engines like Google, Yahoo, Bing etc. along with the techniques used by these search engines for personalization are also discussed. Finally, the paper discusses some current issues and challenges related to the personalization which further lays the future research directions.

scholarly journals Hashtag Recommendation Methods for Twitter and Sina Weibo: A Review

2021 ◽  
Vol 13 (5) ◽  
pp. 129
Author(s):  
Areej Alsini ◽  
Du Q. Huynh ◽  
Amitava Datta
Keyword(s):  
Systematic Review ◽  
Digital Libraries ◽  
Future Research ◽  
Research Papers ◽  
Comprehensive Overview ◽  
Research Directions ◽  
Sina Weibo ◽  
Social Media Platforms ◽  
Future Research Directions ◽  
Textual Content

Hashtag recommendation suggests hashtags to users while they write microblogs in social media platforms. Although researchers have investigated various methods and factors that affect the performance of hashtag recommendations in Twitter and Sina Weibo, a systematic review of these methods is lacking. The objectives of this study are to present a comprehensive overview of research on hashtag recommendation for tweets and present insights from previous research papers. In this paper, we search for articles related to our research between 2010 and 2020 from CiteSeer, IEEE Xplore, Springer and ACM digital libraries. From the 61 articles included in this study, we notice that most of the research papers were focused on the textual content of tweets instead of other data. Furthermore, collaborative filtering methods are seldom used solely in hashtag recommendation. Taking this perspective, we present a taxonomy of hashtag recommendation based on the research methodologies that have been used. We provide a critical review of each of the classes in the taxonomy. We also discuss the challenges remaining in the field and outline future research directions in this area of study.

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