Recommender System for Journal Articles using Opinion Mining and Semantics
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 12
Abstract
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 these technical writings. In addition, journal selection procedure should consider user experience about the journals in order to recommend users most relevant journal. In this work of journal recommendation system, the data about the user experience targeting various aspects of journals has been gathered which addresses user experience about any journal. In addition, data set of archive articles has been developed considering the user experience in this regard. Moreover, the user experience and gathered data of archives are analyzed using two different frameworks based on semantics in order to have better consolidated recommendations. Before submission, we offer services on behalf of the research community that exploit user reviews and relevant data to suggest suitable journal according to the needs of the author.
Authors and Affiliations
Anam Sardar, Javed Ferzund, Muhammad Asif Suryani, Muhammad Shoaib
Keywords
Related Articles
- EP ID EP258351
- DOI 10.14569/IJACSA.2017.081227
- Views 100
- Downloads 0
Robust Facial Expression Recognition via Sparse Representation and Multiple Gabor filters
Facial expressions recognition plays important role in human communication. It has become one of the most challenging tasks in the pattern recognition field. It has many applications such as: human computer interaction,...
A Multi-Agent Framework for Data Extraction,Transformation and Loading in Data Warehouse
The rapid growth in size of data sets poses chal-lenge to extract and analyze information in timely manner for better prediction and decision making. Data warehouse is the solution for strategic decision making. Data war...
Process Improvements for Crowdsourced Software Testing
Crowdsourced software testing has been a common practice lately. It refers to the use of crowdsourcing in software testing activities. Although the crowd testing is a collaborative process by nature, there is no availabl...
Algorithm to Match Ontologies on the Semantic Web
It has been recognized that semantic data and knowledge extraction will significantly improve the capability of natural language interfaces to the semantic search engine. Semantic Web technology offers a vast scale of sh...
Observation of Scintillation Events from GPS and NavIC (IRNSS) Measurements at Bangalore Region
Ionosphere scintillation is a random phenomenon of the ionosphere, causing abrupt fluctuations in the amplitude and phase of the signals traversing the medium, significantly impacting the performance of navigation system...