NDLI: User Modelling for Interactive Optimization Using Neural Network

Content Provider	IEEE Xplore Digital Library
Author	Singh, V.B. Mukhopadhyay, S. Babbar-Sebens, M.
Copyright Year	2013
Description	Author affiliation: Sch. of Civil & Constr. Eng., Oregon State Univ., Corvallis, OR, USA (Babbar-Sebens, M.) \|\| Dept. of Comput. & Inf. Sci., Indiana Univ. Purdue Univ. Indianapolis, Indianapolis, IN, USA (Singh, V.B.; Mukhopadhyay, S.)
Abstract	User modelling is one of the prominent research fields in information retrieval systems. In this paper, we model user's preferences and search criteria using an NN (Neural Network) to solve a multiobjective optimization problem specific to environmental planning systems. We argue that some NP hard problems cannot be solved alone either by a human or by a computer. Human participation in automated search is one way of combining human intuition with algorithmic search to solve such problems. However, even humans have some limitations for participation in that they cannot participate in search completely because of human fatigue. To overcome this, in our approach, an NN tries to model the user's rating criteria and preferences to help the user in rating large set of designs. Although training an NN with limited data is not always feasible, there are many situations where a simple modelling technique (e.g., linear/quadratic mapping) works better if the learning data set is small. In this paper we attempt to get more accuracy of the NN by generating data using other linear/non-linear techniques that fills the gap created by lack of sufficient training data. Also, we provided the architectural design of an HPC based framework we have proposed and compared the performance of the NN with fuzzy logic and other linear/non-linear user modelling techniques for the environmental resources optimization problem.
Sponsorship	IEEE Syst., Man, Cybern. Soc.
Starting Page	3288
Ending Page	3293
File Size	615054
Page Count	6
File Format	PDF
ISBN	9781479906529
DOI	10.1109/SMC.2013.560
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-13
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks Computational modeling Optimization Computers Search problems Adaptation models environmental planning user modelling genetic algorithm neural network collaborative search interactive algorithm
Content Type	Text
Resource Type	Article

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

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