scholarly journals Group User Profile Modeling Based on Neural Word Embeddings in Social Networks

Symmetry ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 435 ◽  
Author(s):  
Jianxing Zheng ◽  
Deyu Li ◽  
Sangaiah Arun Kumar
Keyword(s):  
Recommender Systems ◽  
User Profile ◽  
Diverse Group ◽  
Word Embeddings ◽  
User Profiles ◽  
Sina Weibo ◽  
The Social ◽  
Research Problems ◽  
Fundamental Research ◽  
Profile Vector

How to find a user’s interest from similar users a fundamental research problems in socialized recommender systems. Despite significant advances, there exists diversity loss for the majority of recommender systems. With this paper, for expanding the user’s interest, we overcome this challenge by using representative and diverse similar users from followees. First, we model a personal user profile vector via word2vec and term frequency mechanisms. According to user profiles and their follow relationships, we compute content interaction similarity and follow interaction similarity. Second, by combining two kinds of interaction similarity, we calculate the social similarity and discover a diverse group with coverage and dissimilarity. The users in a diverse group can distinguish each other and cover the whole followees, which can model a group user profile (GUP). Then, by tracking the changes of followee set, we heuristically adjust the number of diverse group users and construct an adaptive GUP. Finally, we conduct experiments on Sina Weibo datasets for recommendation, and the experimental results demonstrate that the proposed GUP outperforms conventional approaches for diverse recommendation.

scholarly journals Diversity Balancing for Two-Stage Collaborative Filtering in Recommender Systems

2020 ◽  
Vol 10 (4) ◽  
pp. 1257 ◽  
Author(s):  
Liang Zhang ◽  
Quanshen Wei ◽  
Lei Zhang ◽  
Baojiao Wang ◽  
Wen-Hsien Ho
Keyword(s):  
Collaborative Filtering ◽  
Recommender Systems ◽  
Social Relationships ◽  
Two Stage ◽  
Proposed Model ◽  
The Social ◽  
Item List ◽  
Ranking Strategy ◽  
High Prediction ◽  
Optimization Mechanism

Conventional recommender systems are designed to achieve high prediction accuracy by recommending items expected to be the most relevant and interesting to users. Therefore, they tend to recommend only the most popular items. Studies agree that diversity of recommendations is as important as accuracy because it improves the customer experience by reducing monotony. However, increasing diversity reduces accuracy. Thus, a recommendation algorithm is needed to recommend less popular items while maintaining acceptable accuracy. This work proposes a two-stage collaborative filtering optimization mechanism that obtains a complete and diversified item list. The first stage of the model incorporates multiple interests to optimize neighbor selection. In addition to using conventional collaborative filtering to predict ratings by exploiting available ratings, the proposed model further considers the social relationships of the user. A novel ranking strategy is then used to rearrange the list of top-N items while maintaining accuracy by (1) rearranging the area controlled by the threshold and by (2) maximizing popularity while maintaining an acceptable reduction in accuracy. An extensive experimental evaluation performed in a real-world dataset confirmed that, for a given loss of accuracy, the proposed model achieves higher diversity compared to conventional approaches.

Value-added bioplastics from services of wastewater treatment

2015 ◽  
Vol 10 (3) ◽  
pp. 546-555 ◽  
Author(s):  
M. Arcos-Hernández ◽  
L. Montaño-Herrera ◽  
O. Murugan Janarthanan ◽  
L. Quadri ◽  
S. Anterrieu ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Real Life ◽  
Value Added ◽  
Renewable Resource ◽  
Economic Networks ◽  
Technical Feasibility ◽  
Material Supply ◽  
The Social ◽  
Essential Services ◽  
Fundamental Research

Pilot and prototyping scale investigations were undertaken in order to evaluate the technical feasibility of producing value-added biopolymers (polyhydroxyalkanoates (PHAs)) as a by-product to essential services of wastewater treatment and environmental protection. A commonly asked question concerns PHA quality that may be expected from surplus biomass produced during biological treatment for water quality improvement. This paper summarizes the findings from a collection of investigations. Alongside the summarized technical efforts, attention has been paid to the social and economic networks. Such networks are needed in order to nurture circular economies that would drive value chains in renewable resource processing from contaminated water amelioration into renewable value-added bioplastic products and services. We find commercial promise in the polymer quality and in the process technical feasibility. The next challenge ahead does not reside so much any more in fundamental research and development of the technology but, rather, in social-economic steps that will be necessary to realize first demonstration scale polymer production activities. It is a material supply that will stimulate niche business opportunities that can grow and stimulate technology pull with benefit of real life material product market combinations.

Characterising Usage of a Multicomponent Digital Intervention to Predict Treatment Outcomes in First-Episode Psychosis: A Cluster Analysis (Preprint)

2021 ◽  
Author(s):  
Shaunagh O'Sullivan ◽  
Lianne Schmaal ◽  
Simon D'Alfonso ◽  
Yara J Toenders ◽  
Lee Valentine ◽  
...  
Keyword(s):  
Young People ◽  
Treatment Outcomes ◽  
Social Functioning ◽  
Negative Symptoms ◽  
User Profile ◽  
First Episode Psychosis ◽  
First Episode ◽  
User Profiles ◽  
Episode Psychosis ◽  
Social Components

BACKGROUND Multicomponent digital interventions offer the potential for tailored and flexible interventions that aim to address high attrition rates and increase engagement, an area of concern in digital mental health. However, increased flexibility in usage makes it difficult to determine which components lead to improved treatment outcomes. OBJECTIVE This study aimed to identify user profiles on Horyzons, an 18-month digital relapse prevention intervention that incorporates therapeutic content and social networking, along with clinical, vocational and peer support, and to examine the predictive value of these user profiles for treatment outcomes. A secondary objective was to compare each user profile with young people receiving treatment as usual (TAU). METHODS Participants comprised 82 young people (16-27 years of age) with access to Horyzons and 84 receiving TAU, recovering from first-episode psychosis. Six-month usage data from the therapy and social networking components of Horyzons were used as features for K-means clustering for joint trajectories to identify user profiles. Social functioning, psychotic symptoms, depression and anxiety were assessed at baseline and six-month follow-up. General linear mixed models were used to examine the predictive value of user profiles for treatment outcomes, and between each user profile with TAU. RESULTS Three user profiles were identified based on system usage metrics including: (a) low usage; (b) maintained usage of social components; and (c) maintained usage of both therapy and social components. The maintained therapy and social group showed improvements in social functioning (F (2, 51) = 3.58; P = .04), negative symptoms (F (2, 51) = 4.45; P = .02) and overall psychiatric symptom severity (F (2, 50) = 3.23; P = .048) compared to the other user profiles. This group also showed improvements in social functioning (F (1, 62) = 4.68; P = .03), negative symptoms (F (1, 62) = 14.61; P = <.001) and overall psychiatric symptom severity (F (1, 63) = 5.66; P = .02) compared to TAU. Conversely, the maintained social group showed increases in anxiety compared to TAU (F (1, 57) = 7.65; P = .01). No differences were found between the low usage group and TAU on treatment outcomes. CONCLUSIONS Continued engagement with both therapy and social components might be key in achieving long-term recovery. Maintained social usage and low usage outcomes were broadly comparable to TAU, emphasizing the importance of maintaining engagement for improved treatment outcomes. Although the social network may be a key ingredient to increase sustained engagement, as users engaged with this more consistently, it should be leveraged as a tool to engage young people with therapeutic content to bring about social and clinical benefits.

An Experimental Study of Spammer Detection on Chinese Microblogs

2020 ◽  
Vol 30 (11n12) ◽  
pp. 1759-1777
Author(s):  
Jialing Liang ◽  
Peiquan Jin ◽  
Lin Mu ◽  
Jie Zhao
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
User Behavior ◽  
Real Data ◽  
User Profile ◽  
Data Set ◽  
Sina Weibo ◽  
Factors Affecting ◽  
The Government ◽  
Hot Event

With the development of Web 2.0, social media such as Twitter and Sina Weibo have become an essential platform for disseminating hot events. Simultaneously, due to the free policy of microblogging services, users can post user-generated content freely on microblogging platforms. Accordingly, more and more hot events on microblogging platforms have been labeled as spammers. Spammers will not only hurt the healthy development of social media but also introduce many economic and social problems. Therefore, the government and enterprises must distinguish whether a hot event on microblogging platforms is a spammer or is a naturally-developing event. In this paper, we focus on the hot event list on Sina Weibo and collect the relevant microblogs of each hot event to study the detecting methods of spammers. Notably, we develop an integral feature set consisting of user profile, user behavior, and user relationships to reflect various factors affecting the detection of spammers. Then, we employ typical machine learning methods to conduct extensive experiments on detecting spammers. We use a real data set crawled from the most prominent Chinese microblogging platform, Sina Weibo, and evaluate the performance of 10 machine learning models with five sampling methods. The results in terms of various metrics show that the Random Forest model and the over-sampling method achieve the best accuracy in detecting spammers and non-spammers.

Materials for SDI

MRS Bulletin ◽  
1986 ◽  
Vol 11 (3) ◽  
pp. 17-29
Author(s):  
Gerold Yonas
Keyword(s):  
Technology Policy ◽  
Social Economic ◽  
Technical Aspects ◽  
Business News ◽  
Political Implications ◽  
The Social ◽  
Materials Research ◽  
Strategic Defense ◽  
Fundamental Research ◽  
Wide Dissemination

Al the plenary session held December 4, 1985 during the annual MRS Fall Meeting in Boston, Dr. Gerold Yonas was the keynote speaker. He was introduced to the packed ballroom by 1985 MRS President Elton N. Kauftnann.Kaufmann: To introduce our plenary address this evening, I would like to make a few remarks on the context in which it is being presented. Iam sure you are all aware that materials research, as most fields of science, is a field where it is rare indeed that one can cleanly separate the technical aspects of a program from the social, economic, and political aspects. This evening's topic is certainly no exception. It involves the U.S. government's Strategic Defense Initiative, or SDI for short. It has broad technical and political implications and has raised highly contentious issues of both technical feasibility and political appropriateness. It is in every source of news available today. This evening we want to focus on those technical aspects of SDI which involve materials and which should therefore be of interest to this audience.Recently, in Space Business News, John McTague, Acting Director of OSTP (Office of Science and Technology Policy), indicated that “the technology of Swords and the technology of Plowshares have much in common.” Of course the degree of commonality between the Swords and the Plowshares becomes greateras one goes to more fundamental research. In the same article Gerold Yonas indicated that “several aspects of SDI are likely to have enormous implications in the private sector with spinoffs directed into every part of the economy.” In addition to the technical materials aspect of the program those larger issues will certainly impact our lives. In that spirit we want to make this presentation so you can evaluate the program with a maximum amount of information. Of course, because this is a publicly controversial issue, I need to stress that the Society is not endorsing one particular view or another. But, we are strongly advocating the wide dissemination of information on a topic such as this.

A study of user profile representation for personalized cross-language information retrieval

2016 ◽  
Vol 68 (4) ◽  
pp. 448-477 ◽  
Author(s):  
Dong Zhou ◽  
Séamus Lawless ◽  
Xuan Wu ◽  
Wenyu Zhao ◽  
Jianxun Liu
Keyword(s):  
Information Retrieval ◽  
Query Expansion ◽  
User Profile ◽  
User Profiles ◽  
Content Type ◽  
Cross Language Information Retrieval ◽  
Cross Lingual ◽  
Cross Language ◽  
Representation Techniques ◽  
Comprehensive Study

Purpose – With an increase in the amount of multilingual content on the World Wide Web, users are often striving to access information provided in a language of which they are non-native speakers. The purpose of this paper is to present a comprehensive study of user profile representation techniques and investigate their use in personalized cross-language information retrieval (CLIR) systems through the means of personalized query expansion. Design/methodology/approach – The user profiles consist of weighted terms computed by using frequency-based methods such as tf-idf and BM25, as well as various latent semantic models trained on monolingual documents and cross-lingual comparable documents. This paper also proposes an automatic evaluation method for comparing various user profile generation techniques and query expansion methods. Findings – Experimental results suggest that latent semantic-weighted user profile representation techniques are superior to frequency-based methods, and are particularly suitable for users with a sufficient amount of historical data. The study also confirmed that user profiles represented by latent semantic models trained on a cross-lingual level gained better performance than the models trained on a monolingual level. Originality/value – Previous studies on personalized information retrieval systems have primarily investigated user profiles and personalization strategies on a monolingual level. The effect of utilizing such monolingual profiles for personalized CLIR remains unclear. The current study fills the gap by a comprehensive study of user profile representation for personalized CLIR and a novel personalized CLIR evaluation methodology to ensure repeatable and controlled experiments can be conducted.

scholarly journals Application of Machine Learning Methods in the Task of Identifying User Accounts in Two Social Networks

2019 ◽  
pp. 29-43
Author(s):  
Anastasiya A. Korepanova ◽  
◽  
Valerii D. Oliseenko ◽  
Maxim V. Abramov ◽  
Alexander L. Tulupyev ◽  
...  
Keyword(s):  
Machine Learning ◽  
Social Networks ◽  
Information System ◽  
New Combination ◽  
Practical Significance ◽  
User Profiles ◽  
Learning Models ◽  
Machine Learning Methods ◽  
The Social ◽  
Machine Learning Models

The article describes the approach to solving the problem of comparing user profiles of different social networks and identifying those that belong to one person. An appropriate method is proposed based on a comparison of the social environment and the values of account profile attributes in two different social networks. The results of applying various machine learning models to solving this problem are compared. The novelty of the approach lies in the proposed new combination of various methods and application to new social networks. The practical significance of the study is to automate the process of determining the ownership of profiles in various social networks to one user. These results can be applied in the task of constructing a meta-profile of a user of an information system for the subsequent construction of a profile of his vulnerabilities, as well as in other studies devoted to social networks.

scholarly journals Understanding to Intergroup Conflict: Social Harmonization and Law Awareness of Society

2019 ◽  
Vol 2 (2) ◽  
pp. 137
Author(s):  
Syahruddin Nawi ◽  
Muhammad Syarif ◽  
Aswad Rachmat Hambali ◽  
Salle Salle
Keyword(s):  
Social Ethics ◽  
Religious Values ◽  
Guidance And Counseling ◽  
Social Harmony ◽  
Youth Group ◽  
Work Area ◽  
The Social ◽  
Research Problems ◽  
National Ideology ◽  
Character Quality

The development and progress of the city of Makassar in line with the occurrence of disturbing conflicts, conflicts and even war between groups provide an overview of research problems regarding the erosion of nationalism, erosion of national ideology, low national character, erosion of local culture, shallow religious values, low sense of solidarity, moral decline , and ethnic fanaticism and declining character quality and declining character quality, all of which have the potential to threaten National Integration and Social Harmony. This research method is descriptive and form of presentation in a systematic, factual and accurate description of the facts obtained. The results showed that conflict/war between groups or residents still occurred in at least six 6 regions in Makassar that had caused various losses because war between groups or residents involved children or adolescents using dangerous objects. There are 30 factors, namely juvenile delinquency, multi aspects, peaceful disturbance, offensive, revenge, social, economic, jealousy, work area disputes, unemployment, ethnicity, religion, culture, wild race, women, competition, misunderstanding, social change, deprivation land, women who seize men (infidelity of women), youth group clashes, politics/parties, deception, social classes/strata, selfishness, arrogance, ridicule, slander, conflict of interest, and government land disputes. Recommendations are needed Conflict Resolution Forum (FOLEKO) as a preventive and repressive measure, provide guidance and counseling for members of the community, about legal awareness, social ethics and courtesy in family life and community life, and inculcation of religious values ​​and national integrity, the authorities need to be more intensive in conducting surveillance and need to carry out routine checks on the possession of dangerous sharp objects, and it is necessary to have the Social Harmony Creation Model module and legal awareness as recommendations of this research.

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