A Development Methodologies Recommender System Based on Knowledge from the Software Industry

2018 37th International Conference of the Chilean Computer Science Society (SCCC) ◽

10.1109/sccc.2018.8705156 ◽

2018 ◽

Author(s):

Elizabeth E. Grandon ◽

Pedro G. Campos ◽

Richard Fica Inzunza ◽

Fabian Avila Caceres

Keyword(s):

Recommender System ◽

Software Industry

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The Indian Software Industry

10.1057/9780230001046 ◽

2004 ◽

Cited By ~ 5

Author(s):

Parthasarathi Banerjee

Keyword(s):

Software Industry

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India in the Global Software Industry

10.1057/9781403943842 ◽

2004 ◽

Cited By ~ 15

Keyword(s):

Software Industry

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ReCRAC: A Recommender System for Crash Reports Assignment and Correction

International conference on Intelligent Systems, Data Mining and Information Technology (ICIDIT’2014) April 21-22, 2014 Bangkok (Thailand) ◽

10.15242/iie.e0414034 ◽

2014 ◽

Keyword(s):

Recommender System

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Human Resource Development Practices in Software Industry With special reference to Nagpur region

International Journal of Scientific Research ◽

10.15373/22778179/may2013/125 ◽

2012 ◽

Vol 2 (5) ◽

pp. 366-367

Author(s):

Dr. Yogita Sure ◽

Keyword(s):

Special Reference ◽

Human Resource Development ◽

Human Resource ◽

Software Industry ◽

Resource Development

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Financial Management of Indian Software Industry

International Journal of Scientific Research ◽

10.15373/22778179/aug2013/82 ◽

2012 ◽

Vol 2 (8) ◽

pp. 246-248

Author(s):

Dr K Maneiah Dr K Maneiah ◽

Keyword(s):

Financial Management ◽

Software Industry

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An Improved Hybrid Recommender System Using Multi-Based Clustering Method

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.129.125 ◽

2009 ◽

Vol 129 (1) ◽

pp. 125-132 ◽

Cited By ~ 2

Author(s):

Sutheera Puntheeranurak ◽

Hidekazu Tsuji

Keyword(s):

Recommender System ◽

Clustering Method ◽

Hybrid Recommender System ◽

Hybrid Recommender

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The Oretical Approaches for the Analysis of Innovation Capacity as a Factor that Affects the Competitiveness of Software Industry of Jalisco

Journal of Business Management & Economics ◽

10.15520/jbme.2016.vol4.iss12.235.pp26-38 ◽

2016 ◽

Vol 4 (12) ◽

Author(s):

José Guadalupe Vargas Hernández ◽

Keyword(s):

Software Industry ◽

Innovation Capacity

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SyntcRec: a Syntactic Recommender System Based on Improved Feature Selection Technique in Large Scholarly Data

International Journal on Communications Antenna and Propagation (IRECAP) ◽

10.15866/irecap.v7i6.13353 ◽

2017 ◽

Vol 7 (6) ◽

pp. 537

Author(s):

Deepa Mandave ◽

Govind Pole

Keyword(s):

Feature Selection ◽

Recommender System ◽

Feature Selection Technique ◽

Selection Technique ◽

Scholarly Data

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A Two-Phase Dynamic Recommender System for Improved Web Usage Mining and Personalization

International Review on Computers and Software (IRECOS) ◽

10.15866/irecos.v10i12.7841 ◽

2015 ◽

Vol 10 (12) ◽

pp. 1244

Author(s):

Anna Alphy ◽

S. Prabakaran

Keyword(s):

Recommender System ◽

Web Usage Mining ◽

Two Phase ◽

Phase Dynamic ◽

Web Usage

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Solving Cold-Start Problem by Combining Personality Traits and Demographic Attributes in a User Based Recommender System

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse/v7i4/01420 ◽

2017 ◽

Vol 7 (5) ◽

pp. 231-239 ◽

Cited By ~ 1

Author(s):

◽

Zewengel Tilahun ◽

Huang Dong Jun ◽

Ammar Oad ◽

◽

...

Keyword(s):

Personality Traits ◽

Recommender System ◽

Cold Start ◽

Demographic Attributes ◽

Cold Start Problem

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