=Paper=
{{Paper
|id=Vol-1542/intro
|storemode=property
|title=3rd International Workshop on News Recommendation and Analytics (INRA 2015)
|pdfUrl=https://ceur-ws.org/Vol-1542/introduction.pdf
|volume=Vol-1542
|authors=Jon Atle Gulla,Bei Yu,Ozlem Ozgobek,Nafiseh Shabib
|dblpUrl=https://dblp.org/rec/conf/recsys/X15
}}
==3rd International Workshop on News Recommendation and Analytics (INRA 2015)==
https://ceur-ws.org/Vol-1542/introduction.pdf
3rd International Workshop on News Recommendation and
Analytics (INRA 2015)
Jon Atle Gulla Bei Yu Özlem Özgöbek
Department of Computer and School of Information Studies Computer Engineering
Information Science Syracuse University, USA Department
NTNU byu@syr.edu Balikesir University
Trondheim, Norway Balikesir, Turkey
jag@idi.ntnu.no ozlemozgobek@gmail.com
Nafiseh Shabib
Department of Computer and
Information Science
NTNU
Trondheim, Norway
shabib@idi.ntnu.no
ABSTRACT mender systems have particular challenges which requires
The 3rd International Workshop on News Recommendation a deeper analysis of both the user, content and their rela-
and Analytics (INRA 2015) is held in conjunction with Rec- tionships. The news domain is characterized by a constant
Sys 2015 Conference in Vienna, Austria. This paper presents flow of unstructured, fragmentary, and unreliable news sto-
a brief summary of the INRA 2015. This workshop aims to ries from numerous sources and different perspectives. Some
create an interdisciplinary community that addresses design important challenges of news domain are:
issues in news recommender systems and news analytics, • Dynamic environment: Every hour hundreds of new
and promote fruitful collaboration opportunities between re- articles is published by different sources,
searchers, media companies and practitioners. We have a
keynote speaker and an invited demo presentation in addi- • Faster changing user interests compared to other do-
tion to 4 papers accepted in this workshop. mains. User interests in movies, music or books change
much slower than news,
Categories and Subject Descriptors • Willingness to read news articles that are independent
H.0 [Information Systems]: General from user interests like breaking news,
• Recency issues of news articles (people tend to read
Keywords recent news, not the old ones),
Recommender systems; news recommendation; analytics • Unstructured subjective content that create content
analysis problems and may turn recommendations un-
1. INTRODUCTION reliable.
The motivation for news recommender systems is the tremen- This workshop addresses primarily news recommender sys-
dous amount of news articles available online and the dy- tems and news analytics, with a particular focus on user pro-
namic nature of news domain. For a user it is getting harder filing and techniques for dealing with and extracting knowl-
to reach the relevant news items according to her personal edge from large-scale news streams. The news streams may
interests and preferences. News recommender systems aim originate in large media companies, but may also come from
to bring the most relevant news items to the users. social sites, where user models are needed to decide how
Each domain in recommender systems has different char- user-generated content is to be taken into account. As part
acteristics and requires different approaches to make suc- of news recommendation and analytics, Big Data architec-
cessful recommendations. Compared to other recommender tures and large-scale statistical and linguistic techniques are
system domains like books, music and movies, news recom- used to extract aggregated knowledge from large news streams
and prepare for personalized access to news.
2. TOPICS OF INTEREST
Topics of interests for this workshop include but are not
limited to:
Copyright is held by the owner/author(s). • News semantics and ontologies,
INRA 2015 in conjunction with RecSys ’15, September 16-20, 2015, Vienna,
Austria • News summarization, classification and sentiment anal-
. ysis,
• Recommender systems and news personalization, • International News Recommender Systems Workshop
and Challenge (NRS)3 held in conjunction with the 7th
• Group recommendation for news, ACM Recommender Systems Conference in 2013. This
workshop had a very limited scope, which restricted
• User profiling and news context modeling,
the number of submissions and led to an acceptance
• News evolution and trends, rate of 75%.
• Large-scale news mining and analytics, • International Workshop on News Recommendation and
Analytics (NRA) 2014 4 held in conjunction with 22nd
• Evaluation methods, Conference on User Modelling, Adaptation and Per-
sonalization (UMAP) in 2014. The workshop scope
• News from social media, was extended with news analytics, which is closely
lined with the field of news recommendation. The ac-
• Big Data technologies for news streams, ceptance rate was 50%.
• News recommendation and analytics on mobile plat-
forms. 4. ORGANIZERS
4.1 Workshop Chairs
3. WORKSHOP DETAILS
Jon Atle Gulla, Professor at Department of Computer
In INRA 2015 we have received 6 submissions, of which and Information Science, Norwegian University of Science
4 were accepted for presentation. The submissions to our and Technology (NTNU), Norway
workshop includes good quality of works for user profiling,
social network analysis, hybrid methods and deep learning Bei Yu, Assistant Professor at School of Information
for news recommendation. This year we have the acceptance Studies, Syracuse University, USA
rate of 66%. In INRA 2015 we have a keynote speaker who
has a very good background of industrial and academic work 4.2 Organizing Committee Co-Chairs
on data analytics and news research. INRA also includes a Özlem Özgöbek, Computer Engineering Department,
demo session with a full-fledged news recommender system Balikesir University, Turkey
that has been developed as part of the SmartMedia program
at NTNU in Trondheim. This system integrates numerous Xiaomeng Su, Department of Informatics and eLearn-
Norwegian news sources and demonstrates how the use of ing, Sør-Trøndelag University College, Norway
context can improve the quality of personalized mobile news
aggregators.
4.3 Program Committee Co-Chairs
3.1 Keynote Speaker
Nafiseh Shabib, Norwegian University of Science and
Dr. Bahareh Heravi is the keynote speaker of INRA 2015. Technology (NTNU), Department of Computer and Infor-
She is a Research Fellow at Insight Centre for Data Analytics mation Science, Norway
@ NUI Galway and the founder and Leader of the Insight
News Lab 1 (Digital Humanities and Journalism). She is Jon Espen Ingvaldsen, Norwegian University of Science
an Adjunct Lecturer and a programme board member of and Technology (NTNU), Department of Computer and In-
Journalism Studies at the National University of Ireland, formation Science, Norway
Galway. Dr Heravi’s research and teaching are at the nexus
of data, technology and journalism. She has worked with
and within various news organizations. Her main research
interests are in the areas of Data and Computational Jour-
nalism, Information Science, Social Media & Citizen Sens-
ing, Semantic Web and Linked Data. She leads a number of
projects at the Insight News Lab, including RTE News360,
Newswire 2.0, VeritaWire, Social Semantic Journalism and
the Social Repository of Ireland. Dr Heravi is the founder
of Irish Times Data 2 and also the founder and organizer of
Hacks/Hackers Dublin. She is the former Lead Data Scien-
tist at The Irish Times, where she lead the Irish Times’R&D
programme and pioneered data innovation in the newsroom.
Dr. Heravi’s talk is about data journalism as a practice, the
new directions and challenges in news organizations.
3.2 Previous Workshops
3rd International Workshop on News Recommendation
and Analytics (INRA 2015) is based on the following previ-
ous workshops:
1 3
http://newslab.insight-centre.org/ http://recsys.acm.org/recsys13/nrs
2 4
http://irishtimes.com/data http://research.idi.ntnu.no/nra2014