Detection and recommendation of experts/authorities of Mendeley and Twitter topics for learning stimulation

Benito B. León-Ullauri; Jack F. Bravo-Torres; Roque D. Contreras-Chacón; Jennifer A. Yépez-Alulema; Diego A. Cuji-Dután; Paúl E. Vintimilla-Tapia

doi:10.1109/CHILECON.2017.8229643

Detection and recommendation of experts/authorities of Mendeley and Twitter topics for learning stimulation

Benito B. León-Ullauri, Jack F. Bravo-Torres, Roque D. Contreras-Chacón, Jennifer A. Yépez-Alulema, Diego A. Cuji-Dután, Paúl E. Vintimilla-Tapia

Research output: Contribution to conference › Paper

Abstract

© 2017 IEEE. Nowadays, life unfolds in a digitised world, in which, each person can have access to a huge amount of information through the use of Internet. In this situation, most of daily activities are being influenced by a new kind of society that allows ubiquitous and instantaneous interaction among its members. The creation of social platforms (SPs) has strengthened human relationships at such point that any person can globalise their knowledge, experience, and opinion about a specific topic. According to the society, this can be seen as an interpersonal relationships evolution; however, this sets up an over-information problem. Looking at the educational field, such problem is a sensitive subject due to students need only experts/authorities knowledge. In order to provide a solution to this situation, in this paper, we propose the development of an experts/authorities recommender system, based on Mendeley and Twitter, to improve educational processes.

Translated title of the contribution	Detección y recomendación de expertos/autoridades de Mendeley y Twitter Temas para la estimulación del aprendizaje
Original language	English (US)
Pages	1-5
Number of pages	5
DOIs	https://doi.org/10.1109/CHILECON.2017.8229643
State	Published - 19 Dec 2017
Event	2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2017 - Proceedings - Pucon, Chile Duration: 18 Oct 2017 → 20 Oct 2017

Conference

Conference	2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2017 - Proceedings
Abbreviated title	CHILECON 2017
Country/Territory	Chile
City	Pucon
Period	18/10/17 → 20/10/17

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10.1109/CHILECON.2017.8229643

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León-Ullauri, B. B., Bravo-Torres, J. F., Contreras-Chacón, R. D., Yépez-Alulema, J. A., Cuji-Dután, D. A., & Vintimilla-Tapia, P. E. (2017). Detection and recommendation of experts/authorities of Mendeley and Twitter topics for learning stimulation. 1-5. Paper presented at 2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2017 - Proceedings, Pucon, Chile. https://doi.org/10.1109/CHILECON.2017.8229643

León-Ullauri, Benito B. ; Bravo-Torres, Jack F. ; Contreras-Chacón, Roque D. et al. / Detection and recommendation of experts/authorities of Mendeley and Twitter topics for learning stimulation. Paper presented at 2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2017 - Proceedings, Pucon, Chile.5 p.

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title = "Detection and recommendation of experts/authorities of Mendeley and Twitter topics for learning stimulation",

abstract = "{\textcopyright} 2017 IEEE. Nowadays, life unfolds in a digitised world, in which, each person can have access to a huge amount of information through the use of Internet. In this situation, most of daily activities are being influenced by a new kind of society that allows ubiquitous and instantaneous interaction among its members. The creation of social platforms (SPs) has strengthened human relationships at such point that any person can globalise their knowledge, experience, and opinion about a specific topic. According to the society, this can be seen as an interpersonal relationships evolution; however, this sets up an over-information problem. Looking at the educational field, such problem is a sensitive subject due to students need only experts/authorities knowledge. In order to provide a solution to this situation, in this paper, we propose the development of an experts/authorities recommender system, based on Mendeley and Twitter, to improve educational processes.",

author = "Le{\'o}n-Ullauri, {Benito B.} and Bravo-Torres, {Jack F.} and Contreras-Chac{\'o}n, {Roque D.} and Y{\'e}pez-Alulema, {Jennifer A.} and Cuji-Dut{\'a}n, {Diego A.} and Vintimilla-Tapia, {Pa{\'u}l E.}",

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month = dec,

day = "19",

doi = "10.1109/CHILECON.2017.8229643",

language = "English (US)",

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León-Ullauri, BB, Bravo-Torres, JF, Contreras-Chacón, RD, Yépez-Alulema, JA, Cuji-Dután, DA & Vintimilla-Tapia, PE 2017, 'Detection and recommendation of experts/authorities of Mendeley and Twitter topics for learning stimulation', Paper presented at 2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2017 - Proceedings, Pucon, Chile, 18/10/17 - 20/10/17 pp. 1-5. https://doi.org/10.1109/CHILECON.2017.8229643

Detection and recommendation of experts/authorities of Mendeley and Twitter topics for learning stimulation. / León-Ullauri, Benito B.; Bravo-Torres, Jack F.; Contreras-Chacón, Roque D. et al.
2017. 1-5 Paper presented at 2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2017 - Proceedings, Pucon, Chile.

Research output: Contribution to conference › Paper

TY - CONF

T1 - Detection and recommendation of experts/authorities of Mendeley and Twitter topics for learning stimulation

AU - León-Ullauri, Benito B.

AU - Bravo-Torres, Jack F.

AU - Contreras-Chacón, Roque D.

AU - Yépez-Alulema, Jennifer A.

AU - Cuji-Dután, Diego A.

AU - Vintimilla-Tapia, Paúl E.

PY - 2017/12/19

Y1 - 2017/12/19

N2 - © 2017 IEEE. Nowadays, life unfolds in a digitised world, in which, each person can have access to a huge amount of information through the use of Internet. In this situation, most of daily activities are being influenced by a new kind of society that allows ubiquitous and instantaneous interaction among its members. The creation of social platforms (SPs) has strengthened human relationships at such point that any person can globalise their knowledge, experience, and opinion about a specific topic. According to the society, this can be seen as an interpersonal relationships evolution; however, this sets up an over-information problem. Looking at the educational field, such problem is a sensitive subject due to students need only experts/authorities knowledge. In order to provide a solution to this situation, in this paper, we propose the development of an experts/authorities recommender system, based on Mendeley and Twitter, to improve educational processes.

AB - © 2017 IEEE. Nowadays, life unfolds in a digitised world, in which, each person can have access to a huge amount of information through the use of Internet. In this situation, most of daily activities are being influenced by a new kind of society that allows ubiquitous and instantaneous interaction among its members. The creation of social platforms (SPs) has strengthened human relationships at such point that any person can globalise their knowledge, experience, and opinion about a specific topic. According to the society, this can be seen as an interpersonal relationships evolution; however, this sets up an over-information problem. Looking at the educational field, such problem is a sensitive subject due to students need only experts/authorities knowledge. In order to provide a solution to this situation, in this paper, we propose the development of an experts/authorities recommender system, based on Mendeley and Twitter, to improve educational processes.

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Y2 - 18 October 2017 through 20 October 2017

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León-Ullauri BB, Bravo-Torres JF, Contreras-Chacón RD, Yépez-Alulema JA, Cuji-Dután DA, Vintimilla-Tapia PE. Detection and recommendation of experts/authorities of Mendeley and Twitter topics for learning stimulation. 2017. Paper presented at 2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2017 - Proceedings, Pucon, Chile. doi: 10.1109/CHILECON.2017.8229643

Detection and recommendation of experts/authorities of Mendeley and Twitter topics for learning stimulation

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