Welcome to IJSDR UGC CARE norms ugc approved journal norms IJRTI Research Journal | ISSN : 2455-2631
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.15 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Issue: January 2023

Volume 8 | Issue 1

Impact factor: 8.15

Click Here For more Info

Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter

Copyright Infringement Claims
Indexing Partner
Published Paper Details
Paper Title: Conversational Chatbot for Online Shopping
Authors Name: Nikhil Palde , Nikhil Sawant , Rahul Kale , Prof. H.V.Gosavi
Unique Id: IJSDR2006079
Published In: Volume 5 Issue 6, June-2020
Abstract: ChatBot can be delineated as programming that can converse with people using man-made intellectual prowess. These item are used to perform assignments, for instance, quickly responding to customers, exhorting them, helping with purchasing things and offering better help to customers. At this moment, present the general working norm and the fundamental thoughts of man-made cognizance based chatbots and related thoughts similarly as their applications in various portions, for instance, media transmission, banking, prosperity, customer call centers and web business. Additionally, the outcomes of a model chabbot for trees is been made by using the proposed building. We are using it for informative motivation to comprehend the quires of customers. Chatbots are programs that copy human conversation using Artificial Intelligence (AI). It is planned to be a conclusive remote assistant, beguilement reason, helping one to complete endeavors stretching out from reacting to questions, getting the rates to the movement of plants. Chatbot has gotten progressively standard in business packs right now as they can diminish customer care cost and handles various customers consistently. Be that as it may, yet to accomplish various tasks there is need to make chatbots as powerful as could sensibly be normal. At the present time give the structure of a chatbot, which gives a capable and precise reaction for any request reliant on the dataset of FAQs using Artificial Intelligence Markup Language (AIML) and Latent Semantic Analysis (LSA). Format based and general requests like welcome/welcome and general requests will be responded using AIML and other help based requests uses LSA to give responses at whatever point that will serve customer satisfaction.
Keywords: -
Cite Article: "Conversational Chatbot for Online Shopping", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 6, page no.466 - 468, June-2020, Available :http://www.ijsdr.org/papers/IJSDR2006079.pdf
Downloads: 000201506
Publication Details: Published Paper ID: IJSDR2006079
Registration ID:192000
Published In: Volume 5 Issue 6, June-2020
DOI (Digital Object Identifier):
Page No: 466 - 468
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

Click Here to Download This Article

Article Preview

Click here for Article Preview

Major Indexing from www.ijsdr.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

Track Paper
Important Links
Conference Proposal
DOI (A digital object identifier)

Providing A digital object identifier by DOI
How to GET DOI and Hard Copy Related
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Creative Commons License
This material is Open Knowledge
This material is Open Data
This material is Open Content
Social Media

Indexing Partner