Do you want to connect? Recommendation strategies for building Personal Learning Networks

Kamakshi Rajagopal; Jan Van Bruggen; Peter Sloep

Do you want to connect? Recommendation strategies for building Personal Learning Networks

Kamakshi Rajagopal, Jan Van Bruggen, Peter Sloep

Research output: Chapter in Book/Report/Conference proceeding › Conference Abstract/Poster in proceeding › Academic › peer-review

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Abstract

Recommender systems in social networking sites make users of these sites aware of various resources and people that otherwise they may have missed. In Personal Learning Networks, recommendation is used to create new connections by creating opportunities for interaction and conversation between learners. This article describes the outcomes of a workshop held at the PLE Conference 2013 on the design of recommender systems and on the concepts that determine how they work.

Original language	English
Title of host publication	THE PLE CONFERENCE 2013
Subtitle of host publication	Learning and Diversity in the Cities of the Future
Editors	Ilona Buchem, Graham Attwell, Gemma Tur
Publisher	Beuth Hochschule für Technik Berlin
Pages	321-326
Number of pages	6
Publication status	Published - Jul 2013
Event	4th International PLE conference 2013 - Berlin, Germany Duration: 10 Jul 2013 → 12 Jul 2013 Conference number: 4 http://pleconf.org/2013/

Conference

Conference	4th International PLE conference 2013
Country/Territory	Germany
City	Berlin
Period	10/07/13 → 12/07/13
Internet address	http://pleconf.org/2013/

Keywords

personal learning networks
recommendation
user profiles
natural language processing
zone of proximal development
Scoop.it!

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@inbook{a745744353da4fd78db64083aca2369c,

title = "Do you want to connect? Recommendation strategies for building Personal Learning Networks",

abstract = "Recommender systems in social networking sites make users of these sites aware of various resources and people that otherwise they may have missed. In Personal Learning Networks, recommendation is used to create new connections by creating opportunities for interaction and conversation between learners. This article describes the outcomes of a workshop held at the PLE Conference 2013 on the design of recommender systems and on the concepts that determine how they work.",

keywords = "personal learning networks, recommendation, user profiles, natural language processing, zone of proximal development, Scoop.it!",

author = "Kamakshi Rajagopal and {Van Bruggen}, Jan and Peter Sloep",

note = "DS_Citation:Rajagopal, K., Van Bruggen, J.M., & Sloep P.B. (2013). Do you want to connect? Recommendation strategies for building Personal Learning Networks. 4th International PLE conference 2013, Berlin, July 10- 12 2013.; 4th International PLE conference 2013 ; Conference date: 10-07-2013 Through 12-07-2013",

year = "2013",

month = jul,

language = "English",

pages = "321--326",

editor = "{ Buchem}, Ilona and Attwell, {Graham } and Tur, {Gemma }",

booktitle = "THE PLE CONFERENCE 2013",

publisher = "Beuth Hochschule f{\"u}r Technik Berlin",

address = "Germany",

url = "http://pleconf.org/2013/",

}

Do you want to connect? Recommendation strategies for building Personal Learning Networks. / Rajagopal, Kamakshi; Van Bruggen, Jan; Sloep, Peter.
THE PLE CONFERENCE 2013: Learning and Diversity in the Cities of the Future. ed. / Ilona Buchem; Graham Attwell; Gemma Tur. Beuth Hochschule für Technik Berlin, 2013. p. 321-326.

Research output: Chapter in Book/Report/Conference proceeding › Conference Abstract/Poster in proceeding › Academic › peer-review

TY - CHAP

T1 - Do you want to connect? Recommendation strategies for building Personal Learning Networks

AU - Rajagopal, Kamakshi

AU - Van Bruggen, Jan

AU - Sloep, Peter

N1 - Conference code: 4

PY - 2013/7

Y1 - 2013/7

N2 - Recommender systems in social networking sites make users of these sites aware of various resources and people that otherwise they may have missed. In Personal Learning Networks, recommendation is used to create new connections by creating opportunities for interaction and conversation between learners. This article describes the outcomes of a workshop held at the PLE Conference 2013 on the design of recommender systems and on the concepts that determine how they work.

AB - Recommender systems in social networking sites make users of these sites aware of various resources and people that otherwise they may have missed. In Personal Learning Networks, recommendation is used to create new connections by creating opportunities for interaction and conversation between learners. This article describes the outcomes of a workshop held at the PLE Conference 2013 on the design of recommender systems and on the concepts that determine how they work.

KW - personal learning networks

KW - recommendation

KW - user profiles

KW - natural language processing

KW - zone of proximal development

KW - Scoop.it!

M3 - Conference Abstract/Poster in proceeding

SP - 321

EP - 326

BT - THE PLE CONFERENCE 2013

A2 - Buchem, Ilona

A2 - Attwell, Graham

A2 - Tur, Gemma

PB - Beuth Hochschule für Technik Berlin

T2 - 4th International PLE conference 2013

Y2 - 10 July 2013 through 12 July 2013

ER -

Do you want to connect? Recommendation strategies for building Personal Learning Networks

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Conference

Keywords

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