Social Networks Discovery Based on Information Retrieval Technologies and Bees Swarm Optimization

2016 ◽  
pp. 821-840
Author(s):  
Yassine Drias ◽  
Habiba Drias
Keyword(s):  
Social Networks ◽  
Information Retrieval ◽  
Retrieval System ◽  
Optimization Method ◽  
Information Retrieval System ◽  
Swarm Optimization ◽  
Large Graphs ◽  
Social Community ◽  
The Social ◽  
The Given

Unlike the previous works where detecting communities is performed on large graphs, our approach considers textual documents for discovering potential social networks. More precisely, the aim of this paper is to extract social communities from a collection of documents and a query specifying the domain of interest that may link the group. We propose a methodology that develops an information retrieval system capable to generate the documents that are in relationship with any topic. The authors of these documents are linked together to constitute the social community around the given thematic. The search process in the information retrieval system is designed using BSO, the bee swarm optimization method in order to optimize the retrieval time for large amount of documents. Our approach was implemented and tested on CACM and DBLP and the time of building a social network is quasi instant.

Social Networks Discovery Based on Information Retrieval Technologies and Bees Swarm Optimization

2014 ◽  
Vol 4 (3) ◽  
pp. 46-65
Author(s):  
Yassine Drias ◽  
Habiba Drias
Keyword(s):  
Social Networks ◽  
Information Retrieval ◽  
Retrieval System ◽  
Optimization Method ◽  
Information Retrieval System ◽  
Swarm Optimization ◽  
Large Graphs ◽  
Social Community ◽  
The Social ◽  
The Given

Unlike the previous works where detecting communities is performed on large graphs, our approach considers textual documents for discovering potential social networks. More precisely, the aim of this paper is to extract social communities from a collection of documents and a query specifying the domain of interest that may link the group. We propose a methodology that develops an information retrieval system capable to generate the documents that are in relationship with any topic. The authors of these documents are linked together to constitute the social community around the given thematic. The search process in the information retrieval system is designed using BSO, the bee swarm optimization method in order to optimize the retrieval time for large amount of documents. Our approach was implemented and tested on CACM and DBLP and the time of building a social network is quasi instant.

A Study on Models and Methods of Information Retrieval System

2018 ◽  
pp. 246-265
Author(s):  
Manisha Malhotra ◽  
Aarti Singh
Keyword(s):  
Information Retrieval ◽  
Retrieval System ◽  
Information Retrieval System ◽  
Information Resources ◽  
Retrieval Process ◽  
Database Query ◽  
Text Indexing ◽  
Unique Result ◽  
The Given

Information Retrieval (IR) is the action of getting the information applicable to a data need from a pool of information resources. Searching can be depends on text indexing. Whenever a client enters an inquiry into the system, an automated information retrieval process becomes starts. Inquiries are formal statements which is required for getting an input (Rijsbergen, 1997). It is not necessary that the given query provides the relevance information. That query matches the result of required information from the database. It doesn't mean it gives the precise and unique result likewise in SQL queries (Rocchio, 2010). Its results are based on the ranking of information retrieved from server. This ranking based technique is the fundamental contrast from database query. It depends on user application the required object can be an image, audio or video. Although these objects are not saved in the IR system, but they can be in the form of metadata. An IR system computes a numeric value of query and then matches it with the ranking of similar objects.

scholarly journals Retrieving Arabic Textual Documents Based on Queries Written in Bahraini Slang Language

2019 ◽  
Vol 13 (6) ◽  
pp. 44
Author(s):  
Ayat Amin Al-Jarrah ◽  
Ghassan Kanaan ◽  
Mustafa Abdel-Kareem Ababneh
Keyword(s):  
Information Retrieval ◽  
Social Communication ◽  
Retrieval System ◽  
Information Retrieval System ◽  
Colloquial Language ◽  
The Social ◽  
Classical Language ◽  
F Measure

Nowadays, the most used language is the colloquial language not the classical language. It is widely used in many nations. The kingdom of Bahrain had the largest share in the spread of the colloquial language, which becomes the trader's language and the language of the social communication too. It became so popular that its usage starts dominating the daily conversations. In this research, we will create algorithm to enhance the process of information retrieval in Arabic slang language of the Gulf. In this algorithm, we put some special Bahraini rules to convert queries from Slang Bahraini to a classical language. In addition, we will apply this algorithm on the Bahraini colloquial language. After making an evaluation for the system relying on the results of three main aspects recall, precision, and F-measure, we noticed that the results of precision about 0.64 for both researches slang and classical, which gives a great indication that the system supports searching in Bahraini slang language. The purpose of this research is to improve the Information Retrieval system field. In addition, it will save the time and the effort of the researchers of the Bahraini colloquial language.

A Study on Models and Methods of Information Retrieval System

2017 ◽  
pp. 43-68
Author(s):  
Manisha Malhotra ◽  
Aarti Singh
Keyword(s):  
Information Retrieval ◽  
Retrieval System ◽  
Information Retrieval System ◽  
Information Resources ◽  
Retrieval Process ◽  
Database Query ◽  
Text Indexing ◽  
Unique Result ◽  
The Given

Information Retrieval (IR) is the action of getting the information applicable to a data need from a pool of information resources. Searching can be depends on text indexing. Whenever a client enters an inquiry into the system, an automated information retrieval process becomes starts. Inquiries are formal statements which is required for getting an input (Rijsbergen, 1997). It is not necessary that the given query provides the relevance information. That query matches the result of required information from the database. It doesn't mean it gives the precise and unique result likewise in SQL queries (Rocchio, 2010). Its results are based on the ranking of information retrieved from server. This ranking based technique is the fundamental contrast from database query. It depends on user application the required object can be an image, audio or video. Although these objects are not saved in the IR system, but they can be in the form of metadata. An IR system computes a numeric value of query and then matches it with the ranking of similar objects.

The features of transnational corporations’ advertisement in social networks

2019 ◽  
pp. 89-92
Author(s):  
Daniella Mushka ◽  
Yeva Erfan
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Wide Spectrum ◽  
Subsequent Development ◽  
Transnational Corporations ◽  
Target Audience ◽  
Social Media Marketing ◽  
Scientific Article ◽  
The Social ◽  
The Given

This scientific article considers all aspects, modern importance and growing role of the social media marketing and advertisement in the general spectrum of marketing activity for developed and developing brands. Investigational actuality and basic directions of application of all spectrum of instruments of social networks for the sake of advancement of product and the processes of forming perception of trade mark and forming the image of brand are analyzed by the authors of the article. The given scientific article highlights the most popular trends and patterns of goods and trademarks’ promotion in the world in the context of updating the concept of advertising on social networks. The bigger and more engaged your target audience is on social media networks (Instagram, Facebook, Twitter, YouTube etc), the easier it will be for you to achieve every other marketing or business goal. The importance of social media marketing’s assistance in attracting new potential clients and customers to the company is also considered in the given article. Besides that, the authors of the article list and analyse wide spectrum of basic trends considering promotion and advertising in 2019 among the well-known brands. In addition to this all, the list of the most successful publicity advertisement campaigns of this year and brands which were promoted with their assistance are listed and analysed. In the context of the study, it shows up that advertising campaigns play a significant role not only in reaching sales but also in generating overall customer loyalty to the brand. This makes it possible to argue that the most reputable brands should have an important social goal that will be positively accepted by society and target audience in addition to the high quality and usability of the products or services. Social networking is the easiest way to see the social response to your promotion and lead to an instant purchase. Therefore, relying on the experience of the already well-known multinational and transnational corporations, social media marketing should take a significant share of the overall promotion of the company. The connection between the brand and potential customer should be built on the emotions that accompany consumers when viewing ads and using products. This scientific article eventually declares conclusions and prognoses in relation to subsequent development of these instruments and platforms for advancement and branding of small and large enterprises in future. It states that emotional connection between person and brand is much more effective for the company than an expensive ad.

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