Exploiting Rating Abstention Intervals for Addressing Concept Drift in Social Network Recommender Systems
Journal Title: Informatics - Year 2018, Vol 5, Issue 2
Abstract
One of the major problems that social networks face is the continuous production of successful, user-targeted information in the form of recommendations, which are produced exploiting technology from the field of recommender systems. Recommender systems are based on information about users’ past behavior to formulate recommendations about their future actions. However, as time goes by, social network users may change preferences and likings: they may like different types of clothes, listen to different singers or even different genres of music and so on. This phenomenon has been termed as concept drift. In this paper: (1) we establish that when a social network user abstains from rating submission for a long time, it is a strong indication that concept drift has occurred and (2) we present a technique that exploits the abstention interval concept, to drop from the database ratings that do not reflect the current social network user’s interests, thus improving prediction quality.
Authors and Affiliations
Dionisis Margaris and Costas Vassilakis
Keywords
Related Articles
- EP ID EP44139
- DOI https://doi.org/10.3390/informatics5020021
- Views 278
- Downloads 0
Conceptualization and Non-Relational Implementation of Ontological and Epistemic Vagueness of Information in Digital Humanities
Research in the digital humanities often involves vague information, either because our objects of study lack clearly defined boundaries, or because our knowledge about them is incomplete or hypothetical, which is especi...
A Comprehensive Study of Activity Recognition Using Accelerometers
This paper serves as a survey and empirical evaluation of the state-of-the-art in activity recognition methods using accelerometers. The paper is particularly focused on long-term activity recognition in real-world set...
digiMe: An Online Portal to Support Connectivity through E-Learning in Medical Education
Connectivity is intrinsic to all aspects of our life today, be it political, economic, technological, scientific, or personal. Higher education is also transcending the previous paradigm of technology enabled content d...
Temporal and Atemporal Provider Network Analysis in a Breast Cancer Cohort from an Academic Medical Center (USA)
Social network analysis (SNA) is a quantitative approach to study relationships between individuals. Current SNA methods use static models of organizations, which simplify network dynamics. To better represent the dyna...
Social Media Providing an International Virtual Elective Experience for Student Nurses
The advances in social media offer many opportunities for developing understanding of different countries and cultures without any implications of travel. Nursing has a global presence and yet it appears as though stud...