A Context-aware Recommender System for Hyperlocal News: A Conceptual Framework
Information Retrieval
2017-12-06 v1 Software Engineering
Abstract
Recommender systems (RSs) have been popular in variety of application domains due to the increased demand for filtering and sorting items and information. Today, there is a numerous approaches and algorithms of data filtering and recommendations. This works presents a conceptual framework for constructing a mobile RS in hyper-local news domain. The mobile RS is designed to deal with specific requirements of news readers, such as spatial- temporal relevance, recency, real-time update and validated news. The implementation of the RS in a distributed file system is also discussed.
Cite
@article{arxiv.1712.01264,
title = {A Context-aware Recommender System for Hyperlocal News: A Conceptual Framework},
author = {Anh Nguyen Duc and Hilde Gudvangen},
journal= {arXiv preprint arXiv:1712.01264},
year = {2017}
}
Comments
This is the author's version of the work, Norwegian Big Data Symposium (NOBIDS) 2016, Trondheim, Norway