@article {Rahimi2015189,
	title = {CIOSOS: Combined idiomatic-ontology based sentiment orientation system for trust reputation in E-commerce},
	journal = {Advances in Intelligent Systems and Computing},
	volume = {369},
	year = {2015},
	note = {cited By 1},
	pages = {189-200},
	abstract = {Due to the abundant amount of Customer{\textquoteright}s Reviews available in E-commerce platforms, Trust Reputation Systems remain reliable means to determine, circulate and restore the credibility and reputation of reviewers and their provided reviews. In fact before starting the process of Reputation score{\textquoteright}s calculation,we need to develop an accurate Sentiment orientation System able to extract opinion expressions, analyze them and determine the sentiment orientation of the Review and then classify it into positive, negative and objective. In this paper, we propose a novel semi-supervised approach which is a Combined Idiomatic-Ontology based Sentiment Orientation System (CIOSOS) that realizes a domain-dependent sentiment analysis of reviews. The main contribution of the system is to expand the general opinion lexicon SentiWordNet to a custom-made opinion lexicon (SentiWordNet++) with domain-dependent {\textquotedblleft}opinion indicators{\textquotedblright} as well as {\textquotedblleft}idiomatic expressions{\textquotedblright}. The system relies also on a semi-supervised learning method that uses the general lexicon WordNet to identify synonyms or antonyms of the expanded terms and get their polarities from SentiWordNet and then store them in SentiWordNet++. The Sentiment polarity and the classification of the review provided by the CIOSOS is used as an input of our Reputation Algorithm proposed in previous papers in order to generate the Reputation score of the reviewer.We also provide an improvement in calculation method used to generate a {\textquotedblleft}granular{\textquotedblright} reputation score of a feature or subfeature of the product. {\textcopyright} Springer International Publishing Switzerland 2015.},
	doi = {10.1007/978-3-319-19713-5_17},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946722849\&doi=10.1007\%2f978-3-319-19713-5_17\&partnerID=40\&md5=b9fc17e2f3c7a22987b8921b5e4e7f40},
	author = {Rahimi, H. and Bakkali, H.E.}
}
@conference {Rahimi2013,
	title = {A new reputation algorithm for evaluating trustworthiness in e-commerce context},
	booktitle = {2013 National Security Days - 3eme Edition Des Journees Nationales de Securite, JNS3},
	year = {2013},
	note = {cited By 3},
	abstract = {Thanks to their ability to detect fraud, poor quality and ill-intentioned feedbacks and scores in online environments, robust Trust Reputation Systems (TRS) provide actionable information to support relying parties taking the right decision in any electronic transaction. In fact, as security providers in e-services, TRS have to faithfully calculate the most trustworthy score for a targeted product or service. Thus, TRS must rely on a robust architecture and suitable algorithms that are able to select, store, generate and classify scores and feedbacks. In this work, we propose a new architecture for TRS in e-commerce application which includes feedbacks{\textquoteright} analysis in its treatment of scores. In fact, this architecture is based on an intelligent layer that proposes to each user (i.e. {\textquoteright}feedback provider{\textquoteright}) who has already given his recommendation, a collection of prefabricated feedbacks summarizing other users{\textquoteright} textual feedbacks. A proposed algorithm is used by this architecture in order to calculate the trust degree of the user, the feedback{\textquoteright}s trustworthiness and generates the global reputation score of the product. {\textcopyright} 2013 IEEE.},
	doi = {10.1109/JNS3.2013.6595455},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84884781815\&doi=10.1109\%2fJNS3.2013.6595455\&partnerID=40\&md5=ff700df7b3d03e86df3086edf016669d},
	author = {Rahimi, H. and El Bakkali, H.}
}
@conference {Rahimi201218,
	title = {State of the art of reputation systems in e-commerce [Etat de l{\textquoteright}art des syst{\`e}mes de r{\'e}putation en e-commerce]},
	booktitle = {Proceedings of the 2nd National Days of Network Security and Systems, JNS2 2012},
	year = {2012},
	note = {cited By 0},
	pages = {18-23},
	doi = {10.1109/JNS2.2012.6249233},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867055626\&doi=10.1109\%2fJNS2.2012.6249233\&partnerID=40\&md5=368c130ee772a86590d0ca7515f35412},
	author = {Rahimi, H. and El Bakkali, H.}
}
@conference {Rahimi2012943,
	title = {Towards a new design for trust reputation system},
	booktitle = {Proceedings of 2012 International Conference on Multimedia Computing and Systems, ICMCS 2012},
	year = {2012},
	note = {cited By 0},
	pages = {943-948},
	doi = {10.1109/ICMCS.2012.6320285},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84869784869\&doi=10.1109\%2fICMCS.2012.6320285\&partnerID=40\&md5=fe02a8d96505fdaaba1b2e568460d8f7},
	author = {Rahimi, H. and El Bakkali, H.}
}
