scholarly journals Session centered Recommendation Utilizing Future Contexts in Social Media

2021 ◽  
Vol 29 (3) ◽  
pp. 91-104
Author(s):  
Sanjeev Dhawan ◽  
Kulvinder Singh ◽  
Adrian Rabaea ◽  
Amit Batra
Keyword(s):  
Data Augmentation ◽  
Empirical Studies ◽  
Sequential Data ◽  
Space Filling ◽  
The Future ◽  
Future Data ◽  
Real World Datasets ◽  
Sequential Information ◽  
Better Than

Abstract Session centered recommender systems has emerged as an interesting and challenging topic amid researchers during the past few years. In order to make a prediction in the sequential data, prevailing approaches utilize either left to right design autoregressive or data augmentation methods. As these approaches are used to utilize the sequential information pertaining to user conduct, the information about the future context of an objective interaction is totally ignored while making prediction. As a matter of fact, we claim that during the course of training, the future data after the objective interaction are present and this supplies indispensable signal on preferences of users and if utilized can increase the quality of recommendation. It is a subtle task to incorporate future contexts into the process of training, as the rules of machine learning are not followed and can result in loss of data. Therefore, in order to solve this problem, we suggest a novel encoder decoder prototype termed as space filling centered Recommender (SRec), which is used to train the encoder and decoder utilizing space filling approach. Particularly, an incomplete sequence is taken into consideration by the encoder as input (few items are absent) and then decoder is used to predict these items which are absent initially based on the encoded interpretation. The general SRec prototype is instantiated by us employing convolutional neural network (CNN) by giving emphasis on both e ciency and accuracy. The empirical studies and investigation on two real world datasets are conducted by us including short, medium and long sequences, which exhibits that SRec performs better than traditional sequential recommendation approaches.

scholarly journals Knowledge-Enhanced Graph Neural Networks for Sequential Recommendation

Information ◽  
2020 ◽  
Vol 11 (8) ◽  
pp. 388
Author(s):  
Baocheng Wang ◽  
Wentao Cai
Keyword(s):  
Neural Networks ◽  
Recurrent Neural Networks ◽  
Internet Technology ◽  
Sequential Data ◽  
Current Interest ◽  
Important Method ◽  
Real World Datasets ◽  
Set Up ◽  
Graph Neural Networks ◽  
Better Than

With the rapid increase in the popularity of big data and internet technology, sequential recommendation has become an important method to help people find items they are potentially interested in. Traditional recommendation methods use only recurrent neural networks (RNNs) to process sequential data. Although effective, the results may be unable to capture both the semantic-based preference and the complex transitions between items adequately. In this paper, we model separated session sequences into session graphs and capture complex transitions using graph neural networks (GNNs). We further link items in interaction sequences with existing external knowledge base (KB) entities and integrate the GNN-based recommender with key-value memory networks (KV-MNs) to incorporate KB knowledge. Specifically, we set a key matrix to many relation embeddings that learned from KB, corresponding to many entity attributes, and set up a set of value matrices storing the semantic-based preferences of different users for the corresponding attribute. By using a hybrid of a GNN and KV-MN, each session is represented as the combination of the current interest (i.e., sequential preference) and the global preference (i.e., semantic-based preference) of that session. Extensive experiments on three public real-world datasets show that our method performs better than baseline algorithms consistently.

scholarly journals PEMBERDAYAAN KOMUNITAS KOPA DI KAMPUNG AUR DALAM PEMANFAATAN LIMBAH KONSTRUKSI MENJADI GREEN WALL

2017 ◽  
Vol 23 (2) ◽  
pp. 238
Author(s):  
Irma Novrianty Nasution ◽  
Syahreza Alvan ◽  
Novalinda Novalinda
Keyword(s):  
Land Use ◽  
Initial Conditions ◽  
Living Environment ◽  
Construction Waste ◽  
Green Wall ◽  
The Sustainable Development ◽  
Community Construction ◽  
The Future ◽  
Better Than

Abstrak Kondisi Kampung Aur yang memprihatinkan dari segi sosial, ekonomi, lingkungan, psikologi, mental, dan pendidikan masyarakat yang jauh dari kemapanan hidup banyak menimbulkan berbagai permasalahan. Masalah utama yang terlihat jelas yaitu lingkungan permukiman yang padat, kumuh, kurang sehat, tidak asri dan nyaman. Keterbatasan lahan dan ketersediaan ruang hijau yang minim semakin memberi kesan lingkungan yang kumuh. Untuk itu, perlu dikembangkan langkah-langkah nyata untuk menciptakan lingkungan permukiman yang lebih asri, hijau, dan nyaman tersebut. Upaya pengembangan berkelanjutan yang didengung-dengungkan, baik dalam lingkup lingkungan maupun arsitektur, menuntut setiap individu untuk waspada atas bahaya yang mengancam kelangsungan hidup manusia di masa mendatang akibat mengabaikan permasalahan lingkungan. Salah satu bahaya yang mengancam adalah praktek konstruksi dengan limbah yang dihasilkannya. Dalam upaya mendukung program berkelanjutan, maka kegiatan ini direncanakan untuk memanfaatkan limbah konstruksi seperti batu-bata, pipa paralon, bambu dan atau kayu untuk dimanfaatkan sebagai green wall yang dapat diaplikasikan sebagai pekarangan vertikal menggantikan pekarangan yang tidak tersedia karena keterbatasan lahan yang ada. Melalui pemberdayaan komunitas yang ada di Kampung Aur dalam memanfaatkan limbah konstruksi ini diharapkan dapat meningkatkan kualitas lingkungan permukiman yang lebih baik lagi dari kondisi awalnya. Dengan begitu, anggota masyarakat memiliki wawasan baru, inisiatif dan kreativitas untuk mengembangkan konsep serupa secara mandiri di masa-masa mendatang. Kata kunci: Kampung Aur, komunitas, limbah konstruksi, green wall  Abstract Many problamatic conditions of Kampung Aur concern in terms of social, economic, environmental, psychological, mental, and educational communities far from the establishment of life. The clearly main problem show the  neighborhoods are crowded, unsanitary, not beautiful and comfortable enough. The limitation of land use and the less availability of green space are gives the impression of a polluted environment. Therefore, it is necessary to develop real ways to create a more beautiful living environment, green, and comfortable. The sustainable development efforts that was touted, both in environmental and architectural, require individuals to be aware of the dangers that threaten human survival in the future as a result of ignoring environmental problems. One of the dangers is practice of construction with the waste it generates. The  effort to support the sustainable program by doing activities are planned to take advantage of construction waste such as bricks, the pipe, bamboo or wood to be used as a green wall which can be applied as vertical garden. It can be replacing its grounds are not available because of limitation of land use which exists. Through the empowerment of communities in Kampung Aur in the use of construction waste is expected to improve the quality of the living environment better than the initial conditions. Therefore, the community have a new insight, initiative and creativity to develop similar concepts independently in the future. Keywords: Kampung Aur, community, construction waste, green wall

scholarly journals Contextual-pandemic adaptation of pedagogical practice in the online environment. Modern guidelines in the professional training of teachers

2021 ◽  
Author(s):  
Evelina Gorobeț ◽  
◽  
◽  
Keyword(s):  
Professional Training ◽  
Methodological Approach ◽  
Teaching Profession ◽  
Quality Of Education ◽  
Pedagogical Practice ◽  
Online Environment ◽  
The Future ◽  
Teacher Training Programs ◽  
Better Than

The reflections of this article goal at the professionalization of the teaching career, which is one of the objectives aimed at the quality of education. The current socio-economic dynamics and complexity require continuous adaptability from teachers. They are put in the situation to periodically develop their professional skills, in order to meet both the the updated students’ educational needs, as well as the scientific innovations that result from the research in various fields. An interesting aspect is related to the needs and challenges of teachers in conditions of pandemic coronavirus (SARS CoV-2). The new conditions have imposed the transition of pedagogical practice in the online environment, an alternative adopted in many teacher training programs. As this decision was considered better than a temporary withdrawal from practice, students and their mentors had to adapt. For the future we have another certainty, that the pandemic will not stop very soon. Otherwise, the future is a matter of probability. The topicality of the topic researched in this article lists the professional training, taking into account the endowment of teachers with the necessary skills so that they feel comfortable in all situations that may arise during their teaching activities. Dynamism, flexibility, receptivity to the new and critical reflection on curricular requirements and methodological approach define the modern teaching profession.

scholarly journals Implementation of Nawa Natya and Servant Leadership in Relevance Modern Leadership

2021 ◽  
Vol 3 (8) ◽  
pp. 40-46
Author(s):  
Ida Bagus Made Wisnu Parta ◽  
I Nyoman Suarka ◽  
I Wayan Cika ◽  
Made Suastika
Keyword(s):  
Servant Leadership ◽  
Government Organization ◽  
The Future ◽  
The Government ◽  
Or Organization ◽  
Leadership Types ◽  
Goals And Objectives ◽  
Better Than

Leadership is a broader definition than power because leadership is an effort to influence people, not just doing what the leader wants, but to achieve the government or organization's goals or objectives. Thus, Nawa Natya and servant leadership concepts are used as guidelines to become a good and exemplary leader. The concept of Nawa Natya and servant leadership aims to improve the quality of a leader who excels in leading a government or organization to survive and compete in the future. Based on several leadership types, the type of leadership that is autocratic and democratic is beneficial in being applied in government and organizations. The type of leadership works hard and thoroughly and can work together to advance the government and organization according to the expected goals and objectives. Nawa Natya concept is very relevant to apply when governing the kingdom. The concept of servant leadership is relevant to managing government, organization, or company. Everyone who serves is not always a subordinate or servant, but with the concept of Nawa Natya and servant leadership, everyone must have a service spirit. Moreover, being a leader, having a firm and wise attitude, and having a leadership spirit to serve to get sympathy and support from subordinates and the community. Servant leadership realizes that he is in charge of serving to bring a group to grow better than before.

Adversarial auto-encoder for rating prediction with ratings and reviews

2021 ◽  
pp. 1-10
Author(s):  
Jin Yi ◽  
Jiajin Huang ◽  
Jin Qin
Keyword(s):  
Real World ◽  
Empirical Studies ◽  
Auxiliary Information ◽  
Rating Data ◽  
Adversarial Learning ◽  
Rich Information ◽  
Rating Prediction ◽  
Sparsity Problem ◽  
Real World Datasets

Recommender systems have been widely used in our life in recent years to facilitate our life. And it is very important and meaningful to improve recommendation performance. Generally, recommendation methods use users’ historical ratings on items to predict ratings on their unrated items to make recommendations. However, with the increase of the number of users and items, the degree of data sparsity increases, and the quality of recommendations decreases sharply. In order to solve the sparsity problem, other auxiliary information is combined to mine users’ preferences for higher recommendation quality. Similar to rating data, review data also contain rich information about users’ preferences on items. This paper proposes a novel recommendation model, which harnesses an adversarial learning among auto-encoders to improve recommendation quality by minimizing the gap of the rating and review relation between a user and an item. The empirical studies on real-world datasets show that the proposed method improves the recommendation performance.

Methodological, Ethical, and Epistemological Challenges of Evaluating Academic Achievement and Course Completion in Distance Education

2014 ◽  
pp. 332-349
Author(s):  
S. Marshall Perry ◽  
Janet Caruso
Keyword(s):  
Higher Education ◽  
Academic Achievement ◽  
Distance Education ◽  
Empirical Studies ◽  
Course Completion ◽  
Future Research ◽  
Great Promise ◽  
Education Programs ◽  
The Future

This chapter explores the various challenges of evaluating the quality of distance education programs and proposes methodologies for future research. The authors provide a framework for teaching within the context of distance education and discuss the existing literature surrounding the characteristics of students who engage in distance education, their academic achievement, and their rates of completion. Empirical studies in primary and higher education are examined. While some research supports the great promise of distance education, there are inherent methodological, ethical, and epistemological challenges in evaluating the quality of distance education. The chapter illuminates the need, promise, and challenge of conducting rigorous evaluations and concludes with suggestions to strengthen evaluation in the future.

scholarly journals Context-dependent consequences of color biases in a social fish

2020 ◽  
Vol 31 (6) ◽  
pp. 1410-1419 ◽  
Author(s):  
Brett M Culbert ◽  
Sanduni Talagala ◽  
James B Barnett ◽  
Emily Stanbrook ◽  
Parker Smale ◽  
...  
Keyword(s):  
Empirical Studies ◽  
Cichlid Fish ◽  
Visual Signals ◽  
Learning Performance ◽  
New Associations ◽  
Sensory Trap ◽  
Series Of Experiments ◽  
Choice Assay ◽  
Better Than

Abstract Colorful visual signals can provide receivers with valuable information about food, danger, and the quality of social partners. However, the value of the information that color provides varies depending on the situation, and color may even act as a sensory trap where signals that evolved under one context are exploited in another. Despite some elegant early work on color as a sensory trap, few empirical studies have examined how color biases may vary depending on context and under which situations biases can be overridden. Here, using Neolamprologus pulcher, a highly social cichlid fish from Lake Tanganyika, we conducted a series of experiments to determine color biases and investigate the effects of these biases under different contexts. We found that N. pulcher interacted the most with yellow items and the least with blue items. These biases were maintained during a foraging-based associative learning assay, with fish trained using yellow stimuli performing better than those trained using blue stimuli. However, these differences in learning performance did not extend to reversal learning; fish were equally capable of forming new associations regardless of the color they were initially trained on. Finally, in a social choice assay, N. pulcher did not display a stronger preference for conspecifics whose yellow facial markings had been artificially enhanced. Together, these findings suggest that the influence of color biases varies under different contexts and supports the situational dependency of color functions.

Handwriting Analysis and Personality Assessment

2000 ◽  
Vol 5 (1) ◽  
pp. 44-51 ◽  
Author(s):  
Peter Greasley
Keyword(s):  
Personality Traits ◽  
Personality Assessment ◽  
Personnel Selection ◽  
Empirical Studies ◽  
Handwriting Analysis ◽  
Recruitment Process ◽  
Academic Literature ◽  
Personnel Recruitment ◽  
The Subject ◽  
Better Than

It has been estimated that graphology is used by over 80% of European companies as part of their personnel recruitment process. And yet, after over three decades of research into the validity of graphology as a means of assessing personality, we are left with a legacy of equivocal results. For every experiment that has provided evidence to show that graphologists are able to identify personality traits from features of handwriting, there are just as many to show that, under rigorously controlled conditions, graphologists perform no better than chance expectations. In light of this confusion, this paper takes a different approach to the subject by focusing on the rationale and modus operandi of graphology. When we take a closer look at the academic literature, we note that there is no discussion of the actual rules by which graphologists make their assessments of personality from handwriting samples. Examination of these rules reveals a practice founded upon analogy, symbolism, and metaphor in the absence of empirical studies that have established the associations between particular features of handwriting and personality traits proposed by graphologists. These rules guide both popular graphology and that practiced by professional graphologists in personnel selection.

Delay Discounting in Impulsive Behavior

2019 ◽  
Vol 24 (4) ◽  
pp. 312-321 ◽  
Author(s):  
Diana Moreira ◽  
Fernando Barbosa
Keyword(s):  
Delay Discounting ◽  
Human Subjects ◽  
Empirical Studies ◽  
Cochrane Collaboration ◽  
Initial Assessment ◽  
Impulsive Behavior ◽  
Manual Search ◽  
Study Results ◽  
Depth Analysis ◽  
The Future

Abstract. Delay discounting (DD) is the process of devaluing results that happen in the future. With this review, we intend to identify specificities in the processes of DD in impulsive behavior. Studies were retrieved from multiple literature databases, through rigorous criteria (we included systematic reviews and empirical studies with adult human subjects), following the procedures of the Cochrane Collaboration initiative. Of the 174 documents obtained, 19 were considered eligible for inclusion and were retained for in-depth analysis. In addition, 13 studies from the manual search were included. Thus, a total of 32 studies were selected for review. The objectives/hypotheses, results, and the main conclusion(s) were extracted from each study. Results show that people with pronounced traits of impulsivity discount rewards more markedly, that is, they prefer immediate rewards, though of less value, or postponed losses, even though they worsen in the future. Taken together, the existing data suggest the importance of inserting DD as a tool for initial assessment in conjunction with measures of addiction and stress level, as well as the consideration of new therapies.

Using the alveograph in developing requirements for the quality of flour for wafer sheet production

2020 ◽  
Vol 29 (12) ◽  
pp. 52-58
Author(s):  
E.P. Meleshkina ◽  
◽  
S.N. Kolomiets ◽  
A.S. Cheskidova ◽  
◽  
...  
Keyword(s):  
Rheological Properties ◽  
Quality Indicators ◽  
Wheat Flour ◽  
Mathematical Statistics ◽  
Intended Purpose ◽  
The Future ◽  
Relationship Of ◽  
The Relationship

Objectively and reliably determined indicators of rheological properties of the dough were identified using the alveograph device to create a system of classifications of wheat and flour from it for the intended purpose in the future. The analysis of the relationship of standardized quality indicators, as well as newly developed indicators for identifying them, differentiating the quality of wheat flour for the intended purpose, i.e. for finished products. To do this, we use mathematical statistics methods.

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