Maryam Ramezani

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Folksonomies, otherwise known as Collaborative Tagging Systems, enable Internet users to share, annotate and search for online resources with user selected labels called tags. Tag recommendation, the suggestion of an ordered set of tags during the annotation process, reduces the user effort from a keyboard entry to a mouse click. By simplifying the(More)
Collaborative tagging applications allow users to annotate online resources. The result is a complex tapestry of interrelated users, resources and tags often called a folksonomy. Folksonomies present an attractive target for data mining applications such as tag recommenders. A challenge of tag recommendation remains the adaptation of traditional(More)
Collaborative tagging applications have become a popular tool allowing Internet users to manage online resources with tags. Most collaborative tagging applications permit unsupervised tagging resulting in tag ambiguity in which a single tag has many different meanings and tag redundancy in which several tags have the same meaning. Common metrics for(More)
This paper presents a taxonomy of recommender systems with the goal of assisting in selection and application of these systems. Recommendation methods are usually classified into three main categories: collaborative,contentbased, and knowledge-based. We outline a taxonomy of recommender systems based on problem characteristics and the underlying technology.(More)
Combined Heat and Power Economic Dispatch (CHPED) plays a key role in economic operation of power systems. Due to complex characteristics, heuristic and evolutionary based optimization approaches have became effective tools to solve the CHPED problem. In this paper a new optimization approach based on improved differential evolution (IDE) has been proposed(More)
Recommender systems form an extremely diverse body of technologies and approaches. The chapter aims to assist researchers and developers identify the recommendation technology that are most likely to be applicable to different domains of recommendation. Unlike other taxonomies of recommender systems, our approach is centered on the question of knowledge:(More)
BACKGROUND Trauma, in addition to mortality and disability experienced by an individual, imposes direct and indirect economic and social costs on a community. Traditionally, trauma is a disease of young and middle age adults, an age group which is known to be the most dynamic and economically productive of the community. Increasing our knowledge concerning(More)
Collaborative tagging applications allow users to annotate online resources, resulting in a complex three dimensional network of interrelated users, resources and tags often called a folksonom A pivotal challenge of these systems remains the inclusion of the varied information channels introduced by the multi-dimensional folksonomy into recommendation(More)
Abstract—The proliferation of social web technologies such as collaborative tagging has led to an increasing awareness of their vulnerability to misuse. Attackers may attempt to distort the system’s adaptive behavior by inserting erroneous or misleading annotations, thus altering the way in which information is presented to legitimate users.(More)