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ACCENT JOURNAL OF ECONOMICS ECOLOGY & ENGINEERING Peer Reviewed and Refereed Journal (International Journal) ISSN-2456-1037

Vol. 05,Special Issue 01, (ICOSD-2020) January 2020, Available Online: www.ajeee.co.in/index.php/AJEEE

1

IDEAS SHARING BY EXPERT MESSAGING AND INTERACTION

Arya Vikram Singh1, Vinod Parmar2, Shantanu Kaushik3 and Er. Devendra Kuril4

1,2,3,4Computer Science Engineering, RGPV, LNCT Indore, MP, India

Abstract- This paper analyzes a Question & Answer site for programmers, public use, education, etc that dramatically improves on the utility and performance of Question &

Answer systems for public domains.Many questions about expert topics are answered as soon as possible. Using a mixed methods approach that combines statistical data analysis with user interviews, we seek to understand this success.We argue that it is not primarily due to a prior superior technical design, but also to the high visibility and daily involvement of the design team within the community they serve.This model also proving blocking facility and systems research as well as to attempts to apply other specialized knowledge domains.

Keywords: Question, Answer, Research, Specialized, domain.

1. INTRODUCTION

Expert Messaging is a platform where various types of query solving facilities are available.

Through this platform, user can ask their queries by any expert and can also search their query and get their solution. To use this site user need to login or signup and experts can make their profile in it, during the search of any query user must have to select their query category, this way whole site work.

There are some extra functionality which are available in our site like admin can handle the whole process of this site, means admin can able to block any unnecessary queries which is not worth and also all those user who are complaint by experts for their bad behavior and comments. Overall this project is based on a social media where knowledge can be exchange.

2. LITERATURE SURVEY

Question and answer system have emerged as a powerful for automatically answering questions asked by human in natural language using either a pre structural database or a collection of natural language documents. In other words, Question and Answer systems make it possible asking questions and retrieve the answers using natural language queries and may be considered as an advance form of information retrieval (IR) [1]. QA helps to provide doubt clearing platform without any real mentor anytime from everywhere.

2.1 Analyses of Popular Q&A Sites

The blueprint for Q&A sites was established byAckerman'sAnswer Garden [1], which focused on expert answers in asingle domain. Recent Q&A platforms operate at Internetscale and often strive for generality. Their size has led tothe creation of new analysis methodssome driven by data other by qualitative studies.

2.2 Q&A on Other Sites Is Often Not About Factual Knowledge

Several distinct types of questions on Q&A sites can be distinguished: factual (seeking objective data); advice, (seeking recommendations); opinion, (seeking other’s view points), and non-questions (spam) [2].

Significant parts of general Q&A sites are conversational; the sites perform poorly on focused technical questions [3]. Algorithms to distinguish between informational andconversational threads have been proposed [3, 4]. We donot investigate such distinctions as so explicitly (andsuccessfully) discourages conversational contributions.

2.3 Moderation Policies Shape Use

Researchers have studied patterns of communitymoderation on knowledge sharing sites.

Lampe and Resnik [4] looked at distributed moderation practices onSlash (dot). Active members of this site earn privileges thatinclude the ability to cast votes that either increase ordecrease a post’s prominence and visibility. Like Q&A sites relies heavily on community moderation. Activeparticipants can vote questions and answers of others upand down and recommend closing inappropriate questions.

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ACCENT JOURNAL OF ECONOMICS ECOLOGY & ENGINEERING Peer Reviewed and Refereed Journal (International Journal) ISSN-2456-1037

Vol. 05,Special Issue 01, (ICOSD-2020) January 2020, Available Online: www.ajeee.co.in/index.php/AJEEE

2 3. PROBLEM PHASE

According to all the above authors there are manydifficulties occur during search of any queries regarding to any topic and it is also very time taking , the main problem is that user can’t get the right and accurate solution of their problem in most of the resources.

There are so many online platform but most of the time they are not accurate they have many problems like anyone can use bad comment on answer of queries, experts cannot have any facilities to complain regarding any questions or any user can directly access their answer from google which may be not good by security purposes and so on.

4. SOLUTION PHASE

To fulfill the entire problem, we get an idea to develop an application in which we provide platform through which user can search their query and get answers Queries are divided according to their category and subcategory. In this application user register itself by login or signup. And then select their query category and then search for the answer, if there is available. Otherwise user can write their query.

Then user query goes to particular experts who register themselves for some particular category and sub category. The same ways is applicable for Experts .Experts registers themselves in their specific category and gets queries related to their category.

Also Admin can control complete site and admin can be able to block all the users for their unnecessary comments.

Figure (a) 5. CONCLUSIONS

The goal of the system is achieved and difficulties aresolved. The project is built such that it is user friendly.Overall this application playsan important role during search of any query.

This application increases the accuracy level for all queries.

REFERENCES

1. King Saurd University, 2018 August; A literature review on question.

2. Ackerman, M.S. and Malone, T.W (1990). Answer Garden: a tool for growing organizational memory.Proceedings of the ACM SIGOIS and IEEE CS TC-OAconference on Office information systems, ACM, 31-39.

3. Hsieh, G., Kraut, R.E., and Hudson, S.E. Why pay? Exploring how financial incentives are used for question &answer. Proceedings of CHI 2010, ACM (2010), 305-314.

4. Nam, K.K., Ackerman, M.S. and Adamic, L.A. Questions in, knowledge in? A study of Naver's question answering community. Proceedings of CHI 2009, ACM (2009), 779.

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