Imène Saidi

• Ecole supérieure en informatique sidi bel abbes

Generating entities recommendations has attracted considerable interest in recent years. Most recently published works mainly focus on providing a user with the most relevant and/or personalized entity recommendations that score highly against the query and/or the user’s preference. Some works consider user side information, such as the user networ...

Online social networks, which have emerged as a popular virtual communication medium among people, are driving the contemporary period. Via social media posts, people frequently share photographs, videos, and voice their opinions on a variety of topics. As online social networks have let individuals engage and connect virtually throughout the world...

Most universities still prepare their timetables manually, which is exhausting, subject to errors and time-consuming process. The timetabling problems are different from a university to another. In this paper, we present the course timetabling problem in a higher school institution. First, the characteristics of course arrangement in this instituti...

Traditional recommender systems provide the user with a list of items supposed to be of interest to the user. Each item is a single independent object and the entire result represents alternatives that match user’s preferences. Another category of recommender systems provides recommendations as collections of items. For this type of systems the rec...

Searching information by keywords is a simple and effective method used for a long time. Unfortunately, its usefulness is not well exploited in certain contexts. Indeed, in the case of scholarly resources (scientific papers, thesis, courses, etc.) what is generally done is a classification of documents by field (speciality), or by category (thesis,...

Major Web search engines have recently enriched regular Web search results by presenting related entity recommendations for a user’s query. In actual Web search engines, entity recommendation try to improve users’ experience by assisting them in finding related entities of an initial interest for further exploration. This concept has become an indi...

Nowadays, different sources of internet make various information available. Nevertheless, the large amount and the speed with which information appears makes the task of research and analysis too difficult for a person in need of information. Recommender systems are therefore proposed as a solution. Recommender systems allow to filter information a...

Web information sources such as forums, blogs, and news articles are becoming increasingly large and diverse. Even if advances in technology are helping to improve techniques for dealing with the large amounts of the generated data, such data sources are heterogeneous in structure (semi structured or unstructured sources) and nature (texts or image...

Data sources such as forums and news articles focus on a particular subject and are written about entities (person, country, etc.). For such sources, it is more appropriate to interpret user queries using entities that the sources contain and organize the results by entity. In this paper, we present this problematic, which is also motivated by the...

Having named entities (person, country, company⋯) in response to users' queries is becoming more and more important in search engines. Indeed, in some cases users are not searching for a ranked list of documents, but for specific information (i.e. entities). In this work, we assume that users are interested in finding entities (e.g., name of a poli...