Dynamic Social Recommendation

This paper describes a preliminary investigation of a user modeling approach, named bag-of-signals, able to take into account how user's interests evolve over time. The basic idea underlying such an approach is to model each potential user's interest as a signal. In order to represent and...

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Bibliographic Details
Published in:2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) pp. 943 - 947
Main Authors: Sansonetti, Giuseppe, Gurini, Davide Feltoni, Gasparetti, Fabio, Micarelli, Alessandro
Format: Conference Proceeding
Language:English
Published: New York, NY, USA ACM 31.07.2017
Series:ACM Conferences
Subjects:
Human-centered computing
Human-centered computing > Collaborative and social computing
Human-centered computing > Collaborative and social computing > Collaborative and social computing theory, concepts and paradigms
Human-centered computing > Collaborative and social computing > Collaborative and social computing theory, concepts and paradigms > Social recommendation
Human-centered computing > Human computer interaction (HCI)
Human-centered computing > Human computer interaction (HCI) > HCI design and evaluation methods
Human-centered computing > Human computer interaction (HCI) > HCI design and evaluation methods > User models
Information systems
Information systems > Information retrieval
Information systems > Information retrieval > Retrieval tasks and goals
Information systems > Information retrieval > Retrieval tasks and goals > Document filtering
Information systems > Information retrieval > Retrieval tasks and goals > Information extraction
Information systems > Information retrieval > Users and interactive retrieval
Information systems > Information retrieval > Users and interactive retrieval > Personalization
Information systems > World Wide Web
Information systems > World Wide Web > Web searching and information discovery
Information systems > World Wide Web > Web searching and information discovery > Personalization
ISBN:1450349935, 9781450349932
ISSN:2473-991X
Online Access:Get full text
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Summary:This paper describes a preliminary investigation of a user modeling approach, named bag-of-signals, able to take into account how user's interests evolve over time. The basic idea underlying such an approach is to model each potential user's interest as a signal. In order to represent and analyze such signals, we make use of the wavelet transform, a signal processing technique that offers higher performance compared to other mathematical tools for non-stationary signals. As a case study, we employ and evaluate the proposed model in a recommender system of new users to follow in social media, focusing on Twitter. A comparative analysis on real-user data with some state-of-the-art techniques - some of which considering temporal effects as well - reveals the benefits of the proposed user modeling approach for personalized recommendations.
ISBN:1450349935
9781450349932
ISSN:2473-991X
DOI:10.1145/3110025.3110149