Context-Aware Recommender Systems for Social Networks: Review, Challenges and Opportunities

Context-aware recommender systems dedicated to online social networks experienced noticeable growth in the last few years. This has led more research being done this area stimulated by omnipresence of smartphones and latest web technologies. These are able detect specific user needs adapt recommendations actual context. In research, we present a comprehensive review context-aware developed for networks. For purpose, used systematic literature methodology which clearly defined scope, objective, timeframe, methods, tools undertake research. Our focus is investigate approaches techniques development identify gaps, challenges, opportunities field. order have clear vision potential field, considered articles published between 2015 2020 portal giving access major scientific databases. Primary selected reviewed recommendation process analyzed approach, techniques, context elements employed systems. The paper presents detail study, provides synthesis results, proposes an evaluation based on measurable advocates future pathways interesting