HRSUNE 2014 - 1st International Workshop on Human Aspects of Making Recommendations in Social Ubiquitous Networking Environments

Website http://adenu.ia.uned.es/workshops/hrsune2014/index.html | Edit Freely

Category learning recommender systems; social recommender systems; human factors; ubiquitous networking environments

Deadline: March 10, 2014 | Date: June 16, 2014

Venue/Country: Macau, China

Updated: 2014-02-14 00:15:15 (GMT+9)

Call For Papers - CFP

1st International Workshop on

Human Aspects of Making Recommendations in Social Ubiquitous Networking Environments (HRSUNE 2014)

To be held on June 16th, 2014, in Macau (China) in conjunction with the 21st International Conference on Web-Age Information Management (WAIM 2014).

Extended versions of accepted papers will be submitted to a Special Issue in the Journal New Review of Hypermedia and Multimedia (JCR SCI Impact Factor 2012: 0.259; Category: COMPUTER SCIENCE, INFORMATION SYSTEMS).

*** DEADLINE: March 10th, 2014 ***

LINK: http://adenu.ia.uned.es/workshops/hrsune2014

Since we are interested in a broader topics covering the theoretical, human and social aspects of making recommendations in social and ubiquitous networking environments, we invite researchers from humanity, information science, decision support, data mining, social science and recommendation system areas to probe into many challenging issues surrounding the design and evaluations of RS in these emerging environments.

SCOPE AND OBJECTIVE

With the hugely popular social-rich information environments (e.g. Netflix, Yelp, Facebook, Twitter, Google+) penetrating our daily life, people (and organizations) have become more powerless with the flooding information from which decisions must be made. Fortunately, Recommender Systems (RS) are known to be capable of implicitly or explicitly observing users’ online activities, learning their likes and dislikes and making personalized (or group-wise) suggestions accordingly. They have become a well-integrated part of a vast number of web/mobile applications available in the cloud and have been used in a wide variety of application areas such as (digital) entertainment (e.g. news articles, music, movies, books, restaurants, etc.), software engineering (for example, recommending replacement methods for adaptive codes; recommending reusable codes from the Internet etc), and e-learning contexts (gathering interactions during the learning process both in formal and informal learning scenarios through learning management systems, virtual learning communities and personal learning environments).

While the majority of earlier research efforts have been focused on the algorithmic understanding of making recommendations, more recent ones have aimed at understanding human and social factors of making suggestions and sharing resources (e.g., content items, people, software widgets, etc.) in existing social and ubiquitous networks to answer questions such as, among many others:

1. What types of resources (for example, news articles) are mostly likely to be shared and liked/disliked?

2. Does human factors matter when rating a resource (and thus, are to be taken into account in the recommendation process) such as the users’ mood and emotions or the social and ubiquitous environment where the resources are consumed?

3. What effects do the ‘share’/’like’/’follow’ buttons have on people’s information-seeking behaviors; in other words, should traditional recommendation techniques integrate these non-numeric ratings in making suggestions? If so, how?

4. What effects would reviews provided by other users have over the popularity/fall of a resource in a social network and does this effect depends on the context where the review has been made?

This special issue aims at bringing together researchers and practitioners to explore and share their research results on the human and social aspects of making recommendations in the emerging social and increasingly more and more ubiquitous networking environments.

TOPICS OF INTEREST

Topics of interest include, but are not limited to:

- The social and human aspects of making recommendations (factors including user mood, emotions, personality, social status, etc.)

- The effect on the recommendations of the ubiquitous interactions in the social networks, including geospatial and temporal variability of the user (the same user might prefer different recommendations depending on the physical and temporal context)

- Social recommendation in software engineering practices

- Particularities of social and human aspects in making recommendations in e-learning contexts (both formal and informal learning scenarios)

- Usability of social recommender systems

- Visualizations of recommended resources and of group aspects to made aware to the others in practice

- The psychology and economics of online sharing and recommendations

- Recommending cloud services to support the information needs in social and ubiquitous networking environments

- Any other relevant topic to the theory and application of recommendation system on social activities or cloud services

IMPORTANT DATES

Submission of papers to HRSUNE workshop: March 10, 2014

Notification of acceptance: April 1, 2014

Camera-ready paper: April 15, 2014

HRSUNE workshop: June 16, 2014 (to be confirmed by WAIM)

Extended version for NRHM Special Issue: July 15, 2014

First review result: September 30, 2014

Revised manuscript: October 30, 2014

Second round of review result: November 30, 2014

Final manuscript: December 15, 2014

SUBMISSION GUIDELINES

Papers must be prepared in 12 page (full) or 6 pages (short) LNCS format (http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0) and submitted through EasyChair (http://www.easychair.org/conferences/?conf=hrsune2014) in PDF.

All papers will be reviewed by at least three independent reviewers with expertise in the area from the workshop Program Committee.

Extended versions of accepted papers that take into account the feedback received in the workshop will be submitted to the special issue on Human Aspects of Making Recommendations in Social and Ubiquitous Networking Environments in the Journal New Review of Hypermedia and Multimedia (JCR SCI Impact Factor 2012: 0.259; Category: COMPUTER SCIENCE, INFORMATION SYSTEMS). More information at the journal website:

http://explore.tandfonline.com/cfp/est/Human-Aspects-of-Making-Recommendations-in-Social-and-Ubiquitous-Networking-Environments.

Workshop chairs:

Dr. Tiffany Y. Tang

Department of Computer Science

Kean University, U.S.A.

E-mail: yatang AT kean DOT edu

Dr. Olga C. Santos

aDeNu Research Group

UNED, Spain

E-mail: ocsantos AT dia DOT uned DOT es