Analyzing Aggregated Semantics-Enabled User Modeling on Google+ and Twitter for Personalized Link Recommendations

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

Original language	Undefined/Unknown
Title of host publication	The 24th Conference on User Modelling, Adaptation and Personalization (UMAP 2016)
Publication status	Published - 13 Jul 2016

Name	The 24th Conference on User Modelling, Adaptation and Personalization (UMAP 2016)

Cite this

@inproceedings{1687d7b357ea49d1abe2ce0e7cf3c797,

title = "Analyzing Aggregated Semantics-Enabled User Modeling on Google+ and Twitter for Personalized Link Recommendations",

author = "Guangyuan Piao and Breslin, \{John G\}",

year = "2016",

month = jul,

day = "13",

language = "Undefined/Unknown",

series = "The 24th Conference on User Modelling, Adaptation and Personalization (UMAP 2016)",

booktitle = "The 24th Conference on User Modelling, Adaptation and Personalization (UMAP 2016)",

}

Analyzing Aggregated Semantics-Enabled User Modeling on Google+ and Twitter for Personalized Link Recommendations. / Piao, Guangyuan; Breslin, John G.
The 24th Conference on User Modelling, Adaptation and Personalization (UMAP 2016). 2016. (The 24th Conference on User Modelling, Adaptation and Personalization (UMAP 2016)).

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

TY - GEN

T1 - Analyzing Aggregated Semantics-Enabled User Modeling on Google+ and Twitter for Personalized Link Recommendations

AU - Piao, Guangyuan

AU - Breslin, John G

PY - 2016/7/13

Y1 - 2016/7/13

M3 - Conference Publication

T3 - The 24th Conference on User Modelling, Adaptation and Personalization (UMAP 2016)

BT - The 24th Conference on User Modelling, Adaptation and Personalization (UMAP 2016)

ER -