MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03122nam a22003617a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20250618162337.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
250618b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9783031556142 |
| Qualifying information |
(hardcover) |
| 040 ## - CATALOGING SOURCE |
|---|
| Description conventions |
rda |
| Original cataloging agency |
Sai University Library |
| 082 0# - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Edition number |
23 |
| Classification number |
006.3 |
| Item number |
GAU |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Role of Explainable Artificial Intelligence in E-Commerce / |
| Remainder of title |
edited by Loveleen Gaur, Ajith Abraham |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
1st edition 2024 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Cham : |
| Name of publisher, distributor, etc |
Springer |
| Date of publication, distribution, etc |
2024 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Cham : |
| Name of producer, publisher, distributor, manufacturer |
Springer |
| Date of production, publication, distribution, manufacture, or copyright notice |
©2024 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
viii, 135 pages : |
| Other physical details |
illustrations ; |
| 336 ## - Content type term (R) |
|---|
| Source (NR) |
rdacontent |
| Content type term (R) |
text |
| Content type code (R) |
txt |
| 337 ## - Media Type (R) |
|---|
| Source (NR) |
rdamedia |
| Media type term (R) |
unmediated |
| Media type code (R) |
n |
| 338 ## - Carrier Type (R) |
|---|
| Source (NR) |
rdacarrier |
| Carrier type term (R) |
volume |
| Carrier type code (R) |
nc |
| 490 ## - SERIES STATEMENT |
|---|
| Series statement |
Studies in Computational Intelligence |
| Volume number/sequential designation |
1094 |
| International Standard Serial Number |
1860-9503 ; |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
The technological boom has provided consumers with endless choices, removing the hindrance of time and place. Understanding the dynamic and competitive business environment, marketers know they need to reinforce indestructible customer experience with the support of algorithmic configurations to minimize human intrusion. World Wide Web (WWW) and online marketing have changed the way of conducting business; with artificial intelligence (AI), business houses can furnish a customized experience to fulfil the perceived expectation of the customer. Artificial intelligence bridges the gap between business and prospective clients, provides enormous amounts of information, prompts grievance redressal system, and further complements the client’s preference. The opportunities online marketing offers with the blend of artificial intelligence tools like chatbots, recommenders, virtual assistance, and interactive voice recognition create improved brand awareness, better customer relationship marketing, and personalized product modification. Explainable AI provides the subsequent arena of human–machine collaboration, which will complement and support marketers and people so that they can make better, faster, and more accurate decisions. According to PwC’s report on Explainable AI(XAI), AI will have $15.7 trillion of opportunity by 2030. However, as AI tools become more advanced, more computations are done in a “black box” that humans can hardly comprehend. But the rise of AI in business for actionable insights also poses the following questions: How can marketers know and trust the reasoning behind why an AI system is making recommendations for action? What are the root causes and steering factors? Thus, transparency, trust, and a good understanding of expected business outcomes are increasingly demanded. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Business information services |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Artificial intelligence |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Engineering |
| General subdivision |
Data processing |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Computational intelligence |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
IT in Business |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Gaur, Loveleen |
| Relator term |
editor |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Abraham, Ajith |
| Relator term |
editor |
| 830 ## - SERIES ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
Studies in Computational Intelligence, |
| Volume number/sequential designation |
1094 |
| International Standard Serial Number |
1860-9503 ; |
| 856 42 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Materials specified |
Table of Contents only |
| Uniform Resource Identifier |
<a href="https://link.springer.com/book/10.1007/978-3-031-55615-9#toc">https://link.springer.com/book/10.1007/978-3-031-55615-9#toc</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
