Filters








159,030 Hits in 5.6 sec

Group Recommender Systems: New Perspectives in the Social Web [chapter]

Iván Cantador, Pablo Castells
2012 Intelligent Systems Reference Library  
in the context of the Social Web.  ...  In this chapter, we revise state of the art approaches on group formation, modelling and recommendation, and present challenging problems to be included in the group recommender system research agenda  ...  Acknowledgements This work was supported by the Spanish Ministry of Science and Innovation (TIN2008-06566-C04-02), and the Community of Madrid (S2009TIC-1542).  ... 
doi:10.1007/978-3-642-25694-3_7 fatcat:774ktylwknef5coi3lkmvdricy

Incorporating group recommendations to recommender systems: Alternatives and performance

F. Ortega, J. Bobadilla, A. Hernando, A. Gutiérrez
2013 Information Processing & Management  
Group recommendations have started to expand due to the increasing use of social networks.  ...  The following list contains all my publications related to recommender systems: ABSTRACT The importance of recommender systems has grown exponentially with the advent of social networks.  ...  In the field of recommender systems, the new trends in social networks can bring us new user recommendation types.  ... 
doi:10.1016/j.ipm.2013.02.003 fatcat:vns4q3dex5fhfmao774o3dhasm

Item Group Recommendation

Limeng Zhang, Rui Zhou, Haixin Jiang, Hua Wang, Yanchun Zhang
2017 Proceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion  
In this paper, we focus on recommending an item set to multiple users. Group recommender systems are designed to deal with the issue of recommending items for a user group.  ...  Specifically, we evaluate each consumer's preference to an item group from two perspectives, attraction part from the customer herself and social affection from her friends.  ...  In recent years, user-based group recommender systems attract more researches in modeling group preference with some new methods.  ... 
doi:10.1145/3041021.3051149 dblp:conf/www/Zhang0JWZ17 fatcat:5ms2jtr6ovfjpjonmvpympawkm

Member contribution-based group recommender system

Wei Wang, Guangquan Zhang, Jie Lu
2016 Decision Support Systems  
Lastly, using the MC-GR approach, we develop a group recommender system called GroTo that can effectively recommend activities to web-based tourist groups.  ...  Generating recommender systems (GRS) is a vital requirement in many online service systems.  ...  Acknowledgments The work presented in this paper was supported by the Australian Research Council (ARC) under discovery grants DP140101366 and DP150101645.  ... 
doi:10.1016/j.dss.2016.05.002 fatcat:x5u7kbnh2bd33czmr3jsxofqui

Group recommendation

Sihem Amer-Yahia, Senjuti Basu Roy, Ashish Chawlat, Gautam Das, Cong Yu
2009 Proceedings of the VLDB Endowment  
Single user recommendation has received significant attention in the past due to its extensive use in Amazon and Netflix.  ...  In this paper, we analyze the desiderata of group recommendation and propose a formal semantics that accounts for both item relevance to a group and disagreements among group members.  ...  CONCLUSION Group recommendation is becoming increasingly important as people engage in social activities on the Web.  ... 
doi:10.14778/1687627.1687713 fatcat:ei2yoiuvnvayzhzpvbhz4cv3my

TruGRC: Trust-Aware Group Recommendation with Virtual Coordinators

Ximeng Wang, Yun Liu, Jie Lu, Fei Xiong, Guangquan Zhang
2019 Future generations computer systems  
• We model trust information and personal influence in group recommender systems. • Comprehensive experiments indicate the proposed method outperforms most of baselines.  ...  h i g h l i g h t s • We integrate the result and profile aggregation strategies to improve group recommendation. • We introduce a virtual coordinator to create a balanced set of group recommendations.  ...  In the system interface, users in each group can interact with the system through web-based interfaces, e.g., websites.  ... 
doi:10.1016/j.future.2018.11.030 fatcat:a4xajshvznbm5cgs4me23btbqe

Diversifying Group Recommendation

Nguyen Thanh Toan, Phan Thanh Cong, Nguyen Thanh Tam, Nguyen Quoc Viet Hung, Bela Stantic
2018 IEEE Access  
Recommender-systems has been a significant research direction in both literature and practice.  ...  In this paper, we address the problem of diversity in group recommendation by improving the chance of returning at least one piece of information that embraces group satisfaction.  ...  Netflix, Amazon) as well as new Web applications such as social networks [1] (e.g. Facebook, Twitter) and mobile products (e.g. Instagram).  ... 
doi:10.1109/access.2018.2815740 fatcat:eznswqtbijas7mawdfjsfytdqu

Augmenting recommender systems by embedding interfaces into practices

Antonietta Grasso, Michael Koch, Alessandro Rancati
1999 Proceedings of the international ACM SIGGROUP conference on Supporting group work - GROUP '99  
The work presented here first analyses the issues around the collection of recommendations, then proposes a set of design principles for improving and automating the collection of recommendations, and  ...  finally presents how these principles have been implemented in a real usage setting.  ...  The Smart CoverSheet recommender interface On the basis of the above observations of print process we constructed a new, paper user interface to the Knowledge Pump system.  ... 
doi:10.1145/320297.320329 dblp:conf/group/GrassoKR99 fatcat:wlqd2yx6r5g2lim4f2elx3xuh4

Analyzing Learners' Relationship to Improve the Quality of Recommender System for Group Learning Support

Xin Wan, Qimanguli Jamaliding, Toshio Okamoto
2011 Journal of Computers  
Index Terms-social interaction, Markov chain model, recommender system, group learning I. NOTE Abstract Remark Comments NOTE Abstract Remark NOTE Abstract Remark ...... ......  ...  Web Page Web Page Figure 2. The stucture of note-taking and comment-taking Xin Wan received the B.E. degree from  ...  In order to improve the "educational provision" [3] to implement the e-learning recommender system, we have proposed a new recommendation approach -Learner's Role based Multi Dimensional Collaborative  ... 
doi:10.4304/jcp.6.2.254-262 fatcat:o6354rk4lbatli77phf3ryenmq

APPLYING THE AFFECTIVE AWARE PSEUDO ASSOCIATION METHOD TO ENHANCE THE TOP-N RECOMMENDATIONS DISTRIBUTION TO USERS IN GROUP EMOTION RECOMMENDER SYSTEMS

John Kalung Leung, Igor Griva, William G. Kennedy
2021 Zenodo  
This approach gives the impression that group recommendations are retrofits of the Personalized Recommender Systems.  ...  Moreover, such an approach not taken the dynamics of group emotion and individual emotion into the consideration in making top-N recommendations.  ...  System Perspective in Grouping There are times when a Recommender System is the initiator of the grouping strategy.  ... 
doi:10.5281/zenodo.4607312 fatcat:3i3m6iylmjhsflkmubjfpwijtu

Integration of Linked Open Data in Collaborative Group Recommender Systems

Rosmamalmi Mat Nawi, Shahrul Azman Mohd Noah, Lailatul Qadri Zakaria
2021 IEEE Access  
A group recommender system (GRS) is a system that collectively recommends items to a group of users based on their preferences.  ...  The issues of data sparsity in a group negatively affect the quality of recommendations to the group.  ...  One of the new approaches for receiving information is via recommender systems (RSs).  ... 
doi:10.1109/access.2021.3124939 fatcat:dddwdowkxrgkdlfla27jk36u24

Context-Aware Music Recommender Systems for Groups: A Comparative Study

Adrián Valera, Álvaro Lozano Murciego, María N. Moreno-García
2021 Information  
In the music domain, these systems are especially useful, since users often like to listen to new songs and discover new bands.  ...  Single-user recommender systems are no longer valid in this situation, and group recommender systems are needed to recommend music to groups of users, taking into account their individual preferences and  ...  Music Recommender Systems. In Recommender Systems Handbook; Springer: New York, NY, USA, 2015; pp. 453–492. 5.  ... 
doi:10.3390/info12120506 fatcat:lqpdktilz5ffdpsfj7cs2wgary

An architecture and functional description to integrate social behaviour knowledge into group recommender systems

Lara Quijano-Sanchez, Juan A. Recio-Garcia, Belen Diaz-Agudo
2014 Applied intelligence (Boston)  
A key element in this paper is the use of social information available in the Web to make enhanced recommendations to groups.  ...  We propose a generic architecture named arise (Architecture for Recommendations Including Social Elements) and describe, as a case study, our Facebook application HappyMovie: a group recommender system  ...  We consider this new perspective of our past work as the second contribution of the paper.  ... 
doi:10.1007/s10489-013-0504-y fatcat:ftmzfki525ctlfae6ulsntxz4m

Updated guidelines for evaluating public health surveillance systems: recommendations from the Guidelines Working Group

R R German, L M Lee, J M Horan, R L Milstein, C A Pertowski, M N Waller, Guidelines Working Group Centers for Disease Control and Prevention (CDC)
2001 MMWR Recommendations and Reports  
c) the electronic exchange of health data, and d) changes in the objectives of public health surveillance to facilitate the response of public health to emerging health threats (e.g., new diseases).  ...  The guidelines in this report describe many tasks and related activities that can be applied to public health surveillance systems.  ...  In addition, the recommendations can address concerns about ethical obligations in operating the system (74 ) .  ... 
pmid:18634202 fatcat:zhbuwi2i5jbfzdulxvlmbidtt4

An observational user study for group recommender systems in the tourism domain

Amra Delic, Julia Neidhardt, Thuy Ngoc Nguyen, Francesco Ricci
2018 Information Technology & Tourism  
In this article we argue and give evidence that the research on group recommender systems must look more carefully at the dynamics of group decisionmaking in order to produce technologies that will be  ...  We discuss the benefits and caveats of such an observational study method and we present the implications that the derived data and findings have on the design of interactive group recommender systems.  ...  , and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.  ... 
doi:10.1007/s40558-018-0106-y fatcat:khdjagnp7jbatntc6dxzpopuza
« Previous Showing results 1 — 15 out of 159,030 results