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Recommender System for Journal Articles using Opinion Mining and Semantics
International Journal of Advanced Computer Science and Applications
Till date, the dominant part of Recommender Systems (RS) work focusing on single domain, i.e. for films, books and shopping and so on. However, human inclinations may traverse over numerous areas. Thus, utilization practices on related things from various domains can be valuable for RS to make recommendations. Academic articles, such as research papers are the way to express ideas and thoughts for the research community. However, there have been a lot of journals available which recognize thesedoi:10.14569/ijacsa.2017.081227 fatcat:fqx3nr3sxbcencvuz3pbtugzba