Collaborative Mediation

2012 ◽  
pp. 21-39
Author(s):  
Brian Goodman
Keyword(s):  
Web 2.0 ◽  
Collaborative Filtering ◽  
Side Effect ◽  
Social Systems ◽  
Social Spaces ◽  
User Experiences ◽  
System A ◽  
High Level ◽  
Digital Fingerprints ◽  
Tagging System

Individuals are the generators and consumers of content, and in doing so, make up a substantial presence in the literate internet, above and beyond the formal media outlets that make up the minority. Accelerating the explosion of content are Web 2.0 interactions, where participants are encouraged to engage with primary content. These social spaces are a platform, supporting often-overlooked micro-interactions referred to in this chapter as digital fingerprints. In parallel, companies construct web experiences that uniquely deliver Internet inspired experiences. However, the competition that divides popular Internet destinations is absent in well run intranets. Collaboration and cooperation among internal web properties offer a unique opportunity to organize people and information across disparate experiences. An example of such a solution is IBM’s Enterprise Tagging System, a collaborative classification and recommendation service that knits employee identities and destinations together through fingerprints. The benefit of creating such a common service also exhibits the side effect and power of the relative few participants. It introduces the desperate need to consider how actions and relationships affect user experiences. The success of social systems requires a high level of diverse participation. This diversity is what ensures the mediation and influence of co-creation and collaborative filtering is not overly narrow.

Hybrid TRS-FA Clustering Approach for Web2.0 Social Tagging System

2015 ◽  
Vol 2 (1) ◽  
pp. 70-87 ◽  
Author(s):  
Hannah Inbarani H ◽  
Selva Kumar S
Keyword(s):  
Web 2.0 ◽  
Clustering Algorithm ◽  
Social Systems ◽  
Social Tagging ◽  
Social Bookmarking ◽  
Swarm Optimization ◽  
Tolerance Rough Set ◽  
Clustering Approach ◽  
Tag Clustering ◽  
Tagging System

Social tagging is one of the vital attributes of WEB2.0. The challenge of Web 2.0 is a gigantic measure of information created over a brief time. Tags are broadly used to interpret and arrange the web 2.0 assets. Tag clustering is the procedure of grouping the comparable tags into clusters. The tag clustering is extremely valuable for researching and organizing the web2. 0 resources furthermore critical for the achievement of Social Bookmarking frameworks. In this paper, the authors proposed a hybrid Tolerance Rough Set Based Firefly (TRS-Firefly-K-Means) clustering algorithm for clustering tags in social systems. At that stage, the proposed system is contrasted with the benchmark algorithm K-Means clustering and Particle Swarm optimization (PSO) based Clustering technique. The experimental analysis outlines the viability of the suggested methodology.

scholarly journals A novel Based-Approach Composed of Clustering Algorithm & Cosine Similarity for Products Recommendation

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Collaborative Filtering ◽  
Clustering Algorithm ◽  
Recommendation System ◽  
Cosine Similarity ◽  
New Approach ◽  
System A ◽  
Weak Points ◽  
Cosine Similarity Measure ◽  
High Level ◽  
Content Based Filtering

There are huge tons of transactions being accomplished online every day. This implies that ecommerce is facing the problem of data and information overloads. While customers are shopping via websites, they spend a lot of time to search for the required products based on their needs. This problem can easily be alleviated by having an accurate recommendation system based on a strong algorithm and confident measures in this regard. There are two main techniques for products recommendation; content-based filtering and collaborative filtering. If one of these two techniques implemented on the e-commerce system, a lot of limitations and weak points will appear. This paper aims at generating an optimal list of product, which, in turn, generates an accurate and reliable list of items. The new approach is composed of three components; clustering algorithm, user-based collaborative filtering, and the Cosine similarity measure. This approach implemented using a real dataset of past experienced users. The accuracy of the search results is a matter to users, it recommends the most appropriate products to users of the e-commerce website. This approach shows trustworthy results and achieved a high level of accuracy for recommending products to users.

scholarly journals The Meaning of the Matrix: Towards a Cybernetic Critical Theory of Capitalism

2018 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Shay Hershkovitz
Keyword(s):  
Social Systems ◽  
Theoretical Concept ◽  
Social Actors ◽  
System A ◽  
The Social ◽  
Social Entity ◽  
Key Concepts ◽  
The Matrix ◽  
Critical Approaches ◽  
Operational Logic

Marxist criticism is most discernible; despite the oft-repeated claim that it is now irrelevant, belonging to an age now past. This essay assumes that criticism originating in the Marxist school of thought continue to be relevant also in this present time; though it may need to be further developed and improved by integrating newer critical approaches into the classic Marxist discourse. This essay therefore integrates basic Marxist ideas with key concepts from ‘social systems theory’; especially the theory of the German sociologist Niklas Luhmann's. In this light, capitalism is conceptualized here as a ‘super (social) system’: a meaning-creating social entity, in which social actors, behaviors and structures are realized. This theoretical concept and terminology emphasizes the social construction of control and stability, when discussing the operational logic of capitalism.

scholarly journals The North-South Gas Corridor in the Context of Poland’s Gas Transmission System—A Perfect Opportunity to Diversify Gas Resources

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7188
Author(s):  
Wiktor Hebda
Keyword(s):  
Energy Security ◽  
Field Research ◽  
Green Energy ◽  
Coal Production ◽  
The North ◽  
System A ◽  
State Of Affairs ◽  
High Level ◽  
Huge Challenge ◽  
Gas Supply

The energy sector in Poland is currently calling for dynamic redevelopment and cleaner energy. This country is world famous for its high level of coal production, from which it does not want to retreat in the next two decades. For this reason, it is safer to gradually reduce the use of coal while increasing the consumption of gas and simultaneously developing green energy. However, the Polish gas sector is still dependent on Russian gas supplied through the Yamal gas pipeline. Taking into consideration Polish geopolitics, this state of affairs poses a huge challenge and a threat to Poland’s energy security. That is why the concept of the North-South Gas Corridor was introduced. It is intended to be a network of gas pipelines that connect the countries of Central and South Europe to two gas terminals (in Poland and Croatia), which will supply gas from a chosen source. This article presents the current condition of the gas sector in Poland. It focuses on the North-South Gas Corridor project and its impact on the energy security of Poland. An analysis of documents and field research shows that the North-South Gas Corridor provides Poland with an opportunity to diversify the sources and directions of gas supply over the next few years.

TexRet

2012 ◽  
Vol 3 (1) ◽  
pp. 37-46 ◽  
Author(s):  
Girish Katkar ◽  
Pravin Ghosekar
Keyword(s):  
Random Fields ◽  
Markov Random Fields ◽  
Texture Synthesis ◽  
Direct Access ◽  
System A ◽  
Markov Random ◽  
Interactive Genetic Algorithms ◽  
High Level ◽  
Texture Retrieval ◽  
Fuzzy Description

The TEXRET-System, a texture retrieval system based on soft-computing technologies is being developed. The importance of this kind of system is increasing due to the massive access to digital image databases, which also demand the existence of systems that can understand human high-level requests. The TEXRET system has the following features: (i) direct access from the Internet, (ii) high interactivity, (iii) texture retrieval using human-like or fuzzy description of the textures, (iv) content-based texture retrieval using user-feedback, and (v) synthesis or generation of the requested textures when these are not found in the database, which allows a growing of the database. One of the main system features is synthesis of the requested textures when these are not found in the database, which allows a growing of the database. Missing textures are synthesized interactively using Markov Random Fields and interactive genetic algorithms. This paper is centered on the texture synthesis of the textures.

Fado tagging system: a new tagging approach

1990 ◽  
Author(s):  
Claudia Werner ◽  
Mario Pimenta ◽  
Joao Varela
Keyword(s):  
System A ◽  
Tagging System

Gaia Photometric Catalogue: the calibration of the DR2 photometry

2018 ◽  
Vol 14 (A30) ◽  
pp. 466-470
Author(s):  
D. W. Evans ◽  
M. Riello ◽  
F. De Angeli ◽  
J. M. Carrasco ◽  
P. Montegriffo ◽  
...  
Keyword(s):  
Scientific Community ◽  
Photometric Data ◽  
Photometric System ◽  
Gaia Dr1 ◽  
System A ◽  
Data Release ◽  
Definition Of ◽  
High Level ◽  
Crucial Part ◽  
Gaia Dr2

AbstractGaia DR2 was released in April 2018 and contains a photometric catalogue of more than 1 billion sources. This release contains colour information in the form of integrated BP and RP photometry in addition to the latest G-band photometry. The level of uncertainty can be as good as 2 mmag with some residual systematics at the 10 mmag level. The addition of colour information greatly enhances the value of the photometric data for the scientific community. A high level overview of the photometric processing, with a focus on the improvements with respect to Gaia DR1, was given. The definition of the Gaia photometric system, a crucial part of the calibration of the photometry, was also explained. Finally, some of the photometric improvements expected for the next data release were described.

Tourism as a Mode of Development

1974 ◽  
Vol 4 (1) ◽  
pp. 45-49
Author(s):  
Paul E. Jursa ◽  
James E. Winkates
Keyword(s):  
Agricultural Sector ◽  
Industrial Sector ◽  
Social Mobilization ◽  
Export Markets ◽  
System A ◽  
Economic Stagnation ◽  
Per Capita ◽  
Low Levels ◽  
Mode Of Development ◽  
High Level

Areas of the world classified as less than developed tend to have a relatively inflexible economic system dominated by an agricultural sector with low levels of productivity, a rudimentary industrial sector plagued by inefficient methods of production utilizing antiquated technologies, a semi-literate population with little chance of bettering itself because of sheer numbers and a rigid social system, a high level of unemployment or underemployment, and a limited infrastructure. All of these characteristics contribute to low real per capita income, difficulties in finding export markets, and an environment of economic stagnation. Modernization, which includes both economic development and social mobilization, is difficult to achieve.

A Sensor-Driven Approach to Distributed Shop Floor Planning and Control

2003 ◽  
Author(s):  
Lihui Wang ◽  
Weiming Shen ◽  
Xiaoqian Li ◽  
Sherman Lang
Keyword(s):  
Shop Floor ◽  
Seamless Integration ◽  
Intelligent Sensor ◽  
Planning And Control ◽  
Intelligent Sensors ◽  
System A ◽  
Floor Planning ◽  
High Level ◽  
And Control ◽  
Made In

The objective of this research is to develop methodology and framework for distributed shop floor planning, real-time monitoring, and remote device control supported by intelligent sensors. An intelligent sensor serves runtime data from bottom up to facilitate high-level decision-making. It assures that correct decisions are made in a timely manner, if compared with the best estimations of engineers. Being an adaptive system, a so-designed framework will improve the flexibility and dynamism of shop floor operations, and provide a seamless integration among process planning, resource scheduling, job execution, process monitoring, and device control. This paper presents principles of the methodology, details in architecture design, module interactions, information flow, and a proof-of-concept prototype implementation.

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