Personalization in the Context of Relevance-Based Visualization
P. Brusilovsky. Proceedings of the 2017 ACM Workshop on Exploratory Search and Interactive Data Analytics at IUI'2017, page 49--50. New York, NY, USA, ACM, (2017)
DOI: 10.1145/3038462.3038474
Abstract
In this talk, I will review our research attempts to implement different kinds of personalization in the context of relevance-based visualization. The goal of this research stream is to make relevance-based visualization adaptive to user long-term goals, interests, or prospects rather just responsive to short term immediate needs such as query terms. I will present four personalized relevance-based visualization systems: Adaptive VIBE, TalkExplorer, SetFusion, and IntersectionExplorer, For each system, I will present its idea, some evaluation results, and lessons learned.
%0 Conference Paper
%1 citeulike:14346056
%A Brusilovsky, Peter
%B Proceedings of the 2017 ACM Workshop on Exploratory Search and Interactive Data Analytics at IUI'2017
%C New York, NY, USA
%D 2017
%I ACM
%K information-visualization iui2017 keynote personalization
%P 49--50
%R 10.1145/3038462.3038474
%T Personalization in the Context of Relevance-Based Visualization
%U http://dx.doi.org/10.1145/3038462.3038474
%X In this talk, I will review our research attempts to implement different kinds of personalization in the context of relevance-based visualization. The goal of this research stream is to make relevance-based visualization adaptive to user long-term goals, interests, or prospects rather just responsive to short term immediate needs such as query terms. I will present four personalized relevance-based visualization systems: Adaptive VIBE, TalkExplorer, SetFusion, and IntersectionExplorer, For each system, I will present its idea, some evaluation results, and lessons learned.
%@ 978-1-4503-4903-1
@inproceedings{citeulike:14346056,
abstract = {{In this talk, I will review our research attempts to implement different kinds of personalization in the context of relevance-based visualization. The goal of this research stream is to make relevance-based visualization adaptive to user long-term goals, interests, or prospects rather just responsive to short term immediate needs such as query terms. I will present four personalized relevance-based visualization systems: Adaptive VIBE, TalkExplorer, SetFusion, and IntersectionExplorer, For each system, I will present its idea, some evaluation results, and lessons learned.}},
added-at = {2018-03-19T12:24:51.000+0100},
address = {New York, NY, USA},
author = {Brusilovsky, Peter},
biburl = {https://www.bibsonomy.org/bibtex/205d4b1e9ae6ff79ec3c3a43f48f18768/aho},
booktitle = {Proceedings of the 2017 ACM Workshop on Exploratory Search and Interactive Data Analytics at IUI'2017},
citeulike-article-id = {14346056},
citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=3038474},
citeulike-linkout-1 = {http://dx.doi.org/10.1145/3038462.3038474},
doi = {10.1145/3038462.3038474},
interhash = {e43a54317b9f4d1a72813c73a06cfc47},
intrahash = {05d4b1e9ae6ff79ec3c3a43f48f18768},
isbn = {978-1-4503-4903-1},
keywords = {information-visualization iui2017 keynote personalization},
location = {Limassol, Cyprus},
pages = {49--50},
posted-at = {2017-04-28 03:07:21},
priority = {0},
publisher = {ACM},
series = {ESIDA '17},
timestamp = {2018-03-19T12:24:51.000+0100},
title = {{Personalization in the Context of Relevance-Based Visualization}},
url = {http://dx.doi.org/10.1145/3038462.3038474},
year = 2017
}