scholarly journals Of the People for the People: Digital Literature Resource Knowledge Recommendation Based on User Cognition

2018 ◽  
Vol 37 (3) ◽  
pp. 66-83 ◽  
Author(s):  
Wen Lou ◽  
Hui Wang ◽  
Jiangen He
Keyword(s):  
User Satisfaction ◽  
Recommendation System ◽  
Structural Data ◽  
User Feedback ◽  
Knowledge Network ◽  
Digital Literature ◽  
Digital Platforms ◽  
Visual Appearance ◽  
The People ◽  
Resource Knowledge

We attempt to improve user satisfaction with the effects of retrieval results and visual appearance by employing users’ own information. User feedback on digital platforms has been proven to be one type of user cognition. Through conducting a digital literature resource organization model based on user cognition, our proposal improves both the content and presentation of retrieval systems. This paper takes Powell's City of Books as an example to describe the construction process of a knowledge network. The model consists of two parts. In the unstructured data part, synopses and reviews were recorded as representatives of user cognition. To build the resource category, linguistic and semantic analyses were used to analyze the concepts and the relationships among them. In the structural data part, the metadata of every book was linked with each other by informetrics relationships. The semantic resource was constructed to assist with building the knowledge network. We conducted a mock-up to compare the new category and knowledge-recommendation system with the current retrieval system. Thirty-nine subjects examined our mock-up and highly valued the differences we made for the improvements in retrieval and appearance. Knowledge recommendation based on user cognition was tested to be positive based on user feedback. There could be more research objects for digital resource knowledge recommendations based on user cognition.

scholarly journals Development of Intelligent Information System for Digital Cultural Contents

Mathematics ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 238
Author(s):  
Yuna Hur ◽  
Jaechoon Jo
Keyword(s):  
Information System ◽  
User Satisfaction ◽  
Keyword Search ◽  
Relevant Information ◽  
Matter Content ◽  
System Stability ◽  
Knowledge Network ◽  
Intelligent Information ◽  
Subject Matter Content ◽  
Depth Interviews

A significant amount of digital cultural contents is shared online, but learners do not know where subject matter content is or how to find it. Therefore, there is a need for a service to improve educational quality by effectively providing relevant information in response to searches for content that is useful to learners. This study developed and tested the usability and utility of an intelligent information system that effectively searches and visualizes digital cultural contents. The system collects data on digital cultural contents, automatically classifies them, and creates content triple data to automatically display the results with a 3D timeline, knowledge network map, and keyword relation network map through content search, triple search, and keyword search. We also conducted a survey and in-depth interviews to verify users’ satisfaction with respect to the use and utility of the system. For the experiment, we developed survey questions to measure user satisfaction and conducted in-depth interviews regarding the system’s utility with a total of 65 subjects. The results show that the response for satisfaction with regard to the use and utility was generally “satisfied”. In addition, the system stability was evaluated as “high”.

Possibilities of using usability testing for scientific research in assessing user satisfaction with the activities of environmental digital platforms

2020 ◽  
pp. 45 (86)-54 (94)
Author(s):  
Polina Olegovna Ermolaeva ◽  
Olga Aleksandrovna Basheva ◽  
Yulia Vyacheslavovna Ermolaeva
Keyword(s):  
Information And Communication Technologies ◽  
User Satisfaction ◽  
Scientific Research ◽  
Usability Testing ◽  
Environmental Problems ◽  
Digital Platforms ◽  
Environmental Initiatives ◽  
Advantages And Disadvantages ◽  
Online Platforms ◽  
Information And Communication

This article is aimed at demonstrating the possibilities of using the usability testing method in the framework of research to determine the features of the new forms of digital urban participation by Russians in solving social and environmental problems and conflicts. In particular, the authors investigated the effectiveness of environmental online platforms in the UX research methodology through usability testing of these sites from the perspective of their users. The results of testing showed that both the functionality of these platforms to involve the population in environmental practices and technical limitations prevent users from putting environmental initiatives into practice. The data obtained in the framework of the UX study will allow us to compare the perception of users of online platforms with the conceptual vision of their developers to identify potential biases in the perception of these products by their ideologues and users in order to minimize these gaps. In terms of the increase of scientific knowledge, this study will allow to assess the effectiveness of the use of information and communication technologies (ICTs) for digital ecoactivists in comparison with traditional (offline) forms of urban participation, to analyze the new strategies and forms of digital participation, and to identify the main advantages and disadvantages of ICTs in minimizing socio-environmental problems and conflicts in the tradition of M. Castells, digital environmental humanities/ English version of the article on pp. 86 - 94 at URL: https://panor.ru/articles/possibilities-of-using-usability-testing-for-scientific-research-in-assessing-user-satisfaction-with-the-activities-of-environmental-digital-platforms/50575.html

A Prospect on an Intelligent Recommender System

2021 ◽  
Vol 12 (2) ◽  
pp. 25-43
Author(s):  
Pooja ◽  
Vishal Bhatnagar
Keyword(s):  
Recommender System ◽  
User Satisfaction ◽  
Recommendation System ◽  
Intelligent System ◽  
Literature Survey ◽  
Research Papers ◽  
Online Data ◽  
Principle Component ◽  
The Future

User satisfaction is the principle component in the prosperity of a recommender system to provide an exact recommendation within a rational amount of time. The recommendation system is an intelligent system that analyzes the large quantity of online data to predict the patterns. In this paper, various recommendation techniques are described as a literature survey and their classifications are explained based upon the attributes and characteristics required for the recommendation process. The categorization of the recommendation system hinge on the analysis of the research papers and identifies the areas of the future for the development of an intelligent system.

A Survey on Recent Recommendation Systems for the Tourism Industry

2020 ◽  
pp. 205-237
Author(s):  
S. Ranjith ◽  
P. Victer Paul
Keyword(s):  
User Satisfaction ◽  
Recommendation System ◽  
Recommendation Systems ◽  
Tourism Industry ◽  
User Preferences ◽  
Reference List ◽  
Current State ◽  
Recent Recommendation ◽  
Important Field ◽  
Preference Criteria

Data mining is an important field that derives insights from the data and recommendation systems. Recommendation systems have become common in recent years in the field of tourism. These are widely used as a tool that can input various selection criteria and user preferences and yields travel recommendations to tourists. User's style and preferences should be constructed accurately so as to supply most relevant suggestions. Researchers proposed various types of tourism recommendation systems (TRS) in order to improve the accuracy and user satisfaction. In this chapter, the authors studied the current state of tourism recommendation system models and discussed their preference criteria. As a part of that, the authors studied various important preference factors in TRS and categorized them based on their likeness. This chapter reports TRS model future directions and compiles a comprehensive reference list to assist researchers.

scholarly journals MINING TRUST VALUES FROM RECOMMENDATION ERRORS

2006 ◽  
Vol 15 (06) ◽  
pp. 945-962 ◽  
Author(s):  
JOHN O'DONOVAN ◽  
BARRY SMYTH
Keyword(s):  
Collaborative Filtering ◽  
User Satisfaction ◽  
Information Needs ◽  
Recommendation System ◽  
Predictive Accuracy ◽  
Target User ◽  
Fair Comparison ◽  
Collaborative Filtering Algorithm ◽  
History Of ◽  
User Trust

Increasing availability of information has furthered the need for recommender systems across a variety of domains. These systems are designed to tailor each user's information space to suit their particular information needs. Collaborative filtering is a successful and popular technique for producing recommendations based on similarities in users' tastes and opinions. Our work focusses on these similarities and the fact that current techniques for defining which users contribute to recommendation are in need of improvement. In this paper we propose the use of trustworthiness as an improvement to this situation. In particular, we define and empirically test a technique for eliciting trust values for each producer of a recommendation based on that user's history of contributions to recommendations. We compute a recommendation range to present to a target user. This is done by leveraging under/overestimate errors in users' past contributions in the recommendation process. We present three different models to compute this range. Our evaluation shows how this trust-based technique can be easily incorporated into a standard collaborative filtering algorithm and we define a fair comparison in which our technique outperforms a benchmark algorithm in predictive accuracy. We aim to show that the presentation of absolute rating predictions to users is more likely to reduce user trust in the recommendation system than presentation of a range of rating predictions. To evaluate the trust benefits resulting from the transparency of our recommendation range techniques, we carry out user-satisfaction trials on BoozerChoozer, a pub recommendation system. Our user-satisfaction results show that the recommendation range techniques perform up to twice as well as the benchmark.

scholarly journals Looking and Listening: A Mixed-Methods Study of Space Use and User Satisfaction

2014 ◽  
Vol 9 (3) ◽  
pp. 4 ◽  
Author(s):  
Sara Holder ◽  
Jessica Lange
Keyword(s):  
Mixed Methods ◽  
Group Work ◽  
User Satisfaction ◽  
Research University ◽  
User Feedback ◽  
Observation Data ◽  
Individual Study ◽  
Future Design ◽  
Usage Patterns ◽  
Survey Results

Abstract Objective – This study was designed to assess users' reactions to two newly re-designed spaces – one intended for quiet study and the other for group study – in the busiest library branch of a large research university. The researchers sought to answer the following questions: For which activity (group work, quiet study, and lounging or relaxing) do the users feel the space is most effective? Which furniture pieces do users prefer and for which activities? How are these spaces being used? Methods – Researchers used a mixed-methods approach for this study. Two methods – surveys and comment boards – were used to gather user feedback on preference for use of the space and users’ feelings about particular furniture types. A third method – observation – was used to determine which of the particular areas and furniture pieces occupants were using most, for which activities the furniture was most commonly used, and what types of possessions occupants most often carried with them. Results – User opinion indicated that each of the spaces assessed was most effective for the type of activity for which it was designed. Of the 80% of respondents that indicated they would use the quiet study space for quiet study, 91% indicated that the space was either "very effective" or "effective" for that purpose. The survey results also indicated that 47% of the respondents would use the group study space for that purpose. The observation data confirmed that the quiet study space was being used primarily for individual study; however, the data for the group study space showed equal levels of use for individual and group study. Users expressed a preference for traditional furniture, such as tables and desk chairs, over comfortable pieces for group work and for quiet study. One exception was a cushioned reading chair that was the preferred item for quiet study in 23% of the responses. The white boards were chosen as a preferred item for group study by 27% of respondents. The observations showed similar results for group study, with the three table types and the desk chair being used most often. The lounge chairs and couch grouping was used most often for individual study, followed by the tables and desk chairs. Conclusion – By combining user feedback gathered through surveys and comment boards with usage patterns determined via observation data, the researchers were able to answer the questions for which their assessment was designed. Results were analyzed to compare user-stated preferences with actual behaviour and were used to make future design decisions for other library spaces. Although the results of this study are institutionally specific, the methodology could be successfully applied in other library settings.

scholarly journals Efektivitas Dakwah Hadis dalam Media Sosial: Analisis atas Teori Framing Robert N. Entman

2021 ◽  
Vol 6 (1) ◽  
pp. 67
Author(s):  
Perdana Putra Pangestu
Keyword(s):  
Social Media ◽  
Data Analysis ◽  
Qualitative Methods ◽  
Comprehensive Understanding ◽  
Digital Literature ◽  
The People ◽  
Research Objects ◽  
New Challenges ◽  
Theoretical Application ◽  
Propagation Material

Hadis preaching is now meeting new challenges in its succession of implementation, one of which is its touch with courage-based social media. Apart from optimizing the propagation material that is disseminated, it has also become an interesting topic in discussions of the development of modern dakwah. In this case, content framing (framing) is deemed appropriate to package the dakwah content offered to the people in order to have authority on social media. However, the question that can be offered is how can the theoretical application of the framing concept work on da'wah content on social media? Departing from this formula, the author will elaborate the dakwah paradigm through content from several accounts on Instagram, based on the hadith as the preaching material. The author provides segmentation of the @hadispedia and @pusatkajianhadis accounts as research objects using the theoretical synergy of Robert N. Entman's framing. This research is built on qualitative methods that are oriented towards the context of reality and data analysis of digital literature. The author will examine the focus of the problem with a descriptive-explorative orientation in order to obtain an optimal and comprehensive understanding. The argument from this research is that the concept of framing actualized on the preaching of hadith content, especially on @hadispedia and @pusatkajianhadis accounts, can increase the effectiveness of the implementation of da'wah on social media.

scholarly journals The impact on the mental health and well-being of unpaid carers affected by social distancing, self-isolation and shielding during the COVID 19 pandemic in England – a systematic review

2021 ◽  
Author(s):  
Tabo Akafekwa ◽  
Elizabeth Dalgarno ◽  
Arpana Verma
Keyword(s):  
Mental Health ◽  
At Risk ◽  
Well Being ◽  
Poor Mental Health ◽  
List Type ◽  
Digital Platforms ◽  
Health And Wellbeing ◽  
The People ◽  
The Impact ◽  
Health And Well Being

AbstractObjectiveThis study explores the impact of the COVID 19 lockdown measures on the mental health and well-being of unpaid carers, who make up the largest number of the carer population in England.Study designA systematic review research protocol was designed and used to conduct the review along with the Enhancing Transparency in Reporting the synthesis of Qualitative Research - ENTREQ statement [43]. Pre-determined inclusion and exclusion criteria were used. EndNote X9 reference management was used and the search process was represented using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram [76]. Appraisal of the included research was carried out using the Critical Appraisal Skills Programme (CASP) [57]. Line by line coding was done using inductive thematic synthesis and EPPI Reviewer 4 software [60].ResultsFour themes emerged; immediate worries or fears, adapting to change, post pandemic fears and use of technology.ConclusionThe measures put in place during the first lockdown period have had detrimental impacts on unpaid carers, putting them at greater risk of burnout. However, use of digital platforms could have a positive impact on well-being. Recommendations for further research are provided.What is new?Key findings?Discontinued or reduced access to activities and services during the first lockdown during the pandemic has had a negative impact on both people who require care and their carers.Carers prioritise the mental health and wellbeing needs of the people they care for over their own.Further qualitative research from different groups of carers would be useful to gain a deeper understanding of the impact of the COVID 19 pandemic measures on unpaid carers.Use of digital technology and digital platforms may be useful tools for carers both during the pandemic and after.What this adds to what is known?There have been very few qualitative studies on the impact of the COVID 19 pandemic on the mental health and wellbeing of unpaid carers, this review has synthesised their findings and will contribute to future research.Unpaid carers are known to be at risk of poor mental health and wellbeing outcomes, this review demonstrates that they are even more at risk due to the increased reliance on them during the pandemic.What is this implication and what should change?There is limited qualitative data available from a range of different groups of carers for example, spouse carers, parent carers, carers of people who have specific needs or conditions. Therefore, purposeful sample research to determine the needs of groups of carers during the COVID 19 pandemic could be valuable.Unpaid carers who do not have appropriate support are more at risk of poor mental health and wellbeing outcomes. During the pandemic services have had to adapt to the various rules implemented. Digital adaptations to the provision of support to both carers and the people they care for could be beneficial both during and after the pandemic.

scholarly journals OurPlaces: Cross-Cultural Crowdsourcing Platform for Location Recommendation Services

2020 ◽  
Vol 9 (12) ◽  
pp. 711
Author(s):  
Luong Vuong Nguyen ◽  
Jason J. Jung ◽  
Myunggwon Hwang
Keyword(s):  
Recommendation System ◽  
Pearson Correlation ◽  
Cultural Tourism ◽  
User Feedback ◽  
Cross Cultural ◽  
Experimental Results ◽  
Shopping Malls ◽  
Layered Architecture ◽  
Different Cultures

This paper presents a cross-cultural crowdsourcing platform, called OurPlaces, where people from different cultures can share their spatial experiences. We built a three-layered architecture composed of: (i) places (locations where people have visited); (ii) cognition (how people have experienced these places); and (iii) users (those who have visited these places). Notably, cognition is represented as a paring of two similar places from different cultures (e.g., Versailles and Gyeongbokgung in France and Korea, respectively). As a case study, we applied the OurPlaces platform to a cross-cultural tourism recommendation system and conducted a simulation using a dataset collected from TripAdvisor. The tourist places were classified into four types (i.e., hotels, restaurants, shopping malls, and attractions). In addition, user feedback (e.g., ratings, rankings, and reviews) from various nationalities (assumed to be equivalent to cultures) was exploited to measure the similarities between tourism places and to generate a cognition layer on the platform. To demonstrate the effectiveness of the OurPlaces-based system, we compared it with a Pearson correlation-based system as a baseline. The experimental results show that the proposed system outperforms the baseline by 2.5% and 4.1% in the best case in terms of MAE and RMSE, respectively.

Sign in / Sign up

Export Citation Format

Share Document