  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.
