Classroom scheduler update
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The document provides a weekly status update on work done for a classroom scheduler project. It discusses meeting with the client to estimate timelines and prioritize use cases. A use case diagram was created identifying unique use cases such as allowing only administrators to create course entries and only teachers to make room requests. An export to Excel use case was also developed to integrate with the client's existing Excel system.
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Leveraging social relevance: Using social networks to enhance literature access and microblog search
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Thesis submitted for the degree of Doctor of Philosophy
Thesis defended on October 8th, 2013
Ph.D: Lamjed Ben Jabeur
Supervisor: Prof. Lynda Tamine, University of Toulouse 3 Paul Sabatier
Advisor: Prof. Mohand Boughanem, University of Toulouse 3 Paul Sabatier
Abstract(EN)
We propose in this work to integrate the social information network in the retrieval process and exploit the social relations between social actors as a source of evidence to measure the relevance of a document in response to a query. Two social information retrieval models have been proposed in different application frameworks: literature access and microblog retrieval. The main contributions of each model are detailed in the following.
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We proposed a generic social information retrieval model for literature access. This model represents scientific papers within a social network and evaluates their importance according to the position of respective authors in the network. Compared to previous approaches, this model incorporates new social entities represented by annotators and social annotations (tags). In addition to co-authorships, this model includes two other types of social relationships: citation and social annotation. Finally, we propose to weight these relationships according to the position of authors in the social network and their mutual collaborations.
* A social model for information retrieval for microblog search
We proposed a microblog retrieval model that evaluates the quality of tweets in two contexts: the social context and temporal context. The quality of a tweet is estimated by the social importance of the corresponding blogger. In particular, blogger's importance is calculated by the applying PageRank algorithm on the network of social influence. With the same aim, the quality of a tweet is evaluated according to its date of publication. Tweets submitted in periods of activity of query terms are then characterized by a greater importance. Finally, we propose to integrate the social importance of blogger and the temporal magnitude tweets as well as other relevance factors using a Bayesian network model.
Résumé (FR)
Nous proposons dans cette thèse d'intégrer le réseau social d'information dans le processus de recherche d'information afin d'utiliser les relations sociales entre les acteurs sociaux comme une source d'évidence pour mesurer la pertinence d'un document en réponse à une requête. Deux modèles de recherche d'information sociale ont été proposés à des cadres applicatifs différents : la recherche d'information bibliographique et la recherche d'information dans les microblogs.
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- 1. Classroom Scheduler Update Jonathan Hernandez Abigale Wuepper Jason Raczkowsi
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