NDLI: Impersonate human decision making process: an interactive context-aware recommender system

Content Provider	Springer Nature Link
Author	Wang, Chen Shu Lin, Shiang Lin Yang, Heng Li
Copyright Year	2016
Abstract	A considerable amount of information is quickly disseminated worldwide and users struggled to survive on such data tsunami. Context-recommender-aware systems (CAR) are then developed which enabling users to locate valuable and useful information from a large amount of disordered data. However, human decision-making contains multiple steps and a recursive loop, most users tend to adjust their decision many times instead of achieving the final decision-making immediately. Therefore, to replicate such a recursive process among multiple steps, the traditional CAR system should be altered as an interactive CAR (iCAR) system for improving the recommendation accuracy. In view of the deficiency in the present CAR, this study leads the concept of human-computer interaction in tradition CAR and establishes an interactive context-aware recommender System (iCAR). To validate the feasibility and applicability of the proposed iCAR system, a car rental website which is designed based on iCAR is shown as a demonstration. According to the car rental case shown, after couples of iterations, the decision criteria can be gradually clarified by the proposed algorithm of inferring engine. Also, iCAR can find users a car that most satisfies their requirements by using the contexts information. iCAR can improve the accuracy of traditional CAR system and provide user more precise recommendation results according to 3-dimensions information, including: user, item and context information. The iCAR system can be further expected to apply to various fields, such as online shopping or travel packages recommendations, to optimize recommendations results.
Starting Page	195
Ending Page	207
Page Count	13
File Format	PDF
ISSN	09259902
Journal	Journal of Intelligent Information Systems
Volume Number	47
Issue Number	2
e-ISSN	15737675
Language	English
Publisher	Springer US
Publisher Date	2016-04-06
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Context-aware recommender system Recommender system Reasoning engine Human-computer interaction Online car rental Information Storage and Retrieval Data Structures, Cryptology and Information Theory Artificial Intelligence (incl. Robotics) IT in Business Document Preparation and Text Processing
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Computer Networks and Communications Information Systems Software Hardware and Architecture

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Towards context-aware media recommendation based on social tagging

A novel hybrid approach improving effectiveness of recommender systems

Detecting abnormal profiles in collaborative filtering recommender systems

OBCAS: an agent-based system and ontology for mobile context aware interactions

In-memory, distributed content-based recommender system

Social group recommendation in the tourism domain

On context-aware co-clustering with metadata support

Interactive search over Web scale RDF data using predicates as constraints

Erratum to: A hierarchical multi-criteria sorting approach for recommender systems

Impersonate human decision making process: an interactive context-aware recommender system

Similar Documents

Towards context-aware media recommendation based on social tagging

A novel hybrid approach improving effectiveness of recommender systems

Detecting abnormal profiles in collaborative filtering recommender systems

OBCAS: an agent-based system and ontology for mobile context aware interactions

In-memory, distributed content-based recommender system

Social group recommendation in the tourism domain

On context-aware co-clustering with metadata support

Interactive search over Web scale RDF data using predicates as constraints

Erratum to: A hierarchical multi-criteria sorting approach for recommender systems

Impersonate human decision making process: an interactive context-aware recommender system