Browsing by Author "Kichou, Saida"

Now showing 1 - 6 of 6
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    Handicraft women Recommendation Approach based on User's Social Tagging Operations
    (CERIST, 2016-07-12) Kichou, Saida; Mellah, Hakima; Boussaid, Omar; Meziane, Abdelkrim
    Recommendation predicts which items the user might be interested in, and aims to help users finding the adequate element. Such as movies, music and commercial products, persons may be also recommended. In the case of handicraft women, we propose a recommendation approach based on extracted user’s interest using his/her social tagging operations to improve business activities of the handicrafts women, the approach is applied with preliminary tests.
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    Recommendation Based on User’s Interest Case Study: Handicrafts women in emerging countries.
    (CERIST, 2015-10-29) Kichou, Saida; Mellah, Hakima; Boussaid, Omar; Meziane, Abdelkrim
    Social tagging systems promote resources sharing, organization and improve information retrieval. In the area of handicraft women, social tagging improves collaboration between users, by recommending some users to others, providers and products to users, handicraft women to clients etc. The aim of this paper is to propose a recommendation approach based on user’s interest, extracted using his social tagging operations, to improve the handicrafts women business activities.
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    Tagging collaboratif et filtrage de tags à base du profil utilisateur
    (Université Abderrahmane Mira de Bejaia, 2009) Kichou, Saida; Amghar, Youssef
    Le ‘Tagging collaboratif’ ne cesse de gagner une popularité sur le web 2.0, cette nouvelle génération du web qui fait de l’utilisateur un lecteur-rédacteur. Le ‘Tagging’ est un des moyens permettant à l’utilisateur de s’exprimer librement via des ajouts d’étiquettes appelées ‘Tags’ à des ressources partagées. L’un des problèmes rencontrés dans les systèmes du Tagging actuels est la définition des tags les plus appropriés pour une ressource. Les tags sont généralement classés par ordre de popularité tel que del-icio-us. Or la popularité du tag ne reflète pas toujours son importance et sa représentativité vis-à-vis de la ressource à laquelle il est associé. Partant des hypothèses qu’un même tag pour une ressource peut prendre des significations différentes selon les utilisateurs, et un tag issu d’un utilisateur connaisseur serait plus important qu’un tag issu d’un utilisateur novice, nous proposons une approche de pondération des tags d’une ressource à base du profil utilisateur. Pour ceci nous définissons un modèle utilisateur permettant son intégration dans le calcul du poids d’un tag ainsi qu’une formule de calcul de ce dernier à base de trois facteurs concernant l’utilisateur à savoir, le degré de rapprochement entre ses centres d’intérêts et le domaine de la ressource, son expertise et son estimation personnelle vis-à-vis des tags qu’il associe à la ressource. Un descripteur de ressource contenant les meilleurs tags est ainsi créé
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    Tags Weighting Based on User Profile
    (CERIST, 2011-06) Kichou, Saida
    The 'Collaborative Tagging' is gaining popularity on Web 2.0, this new generation of Web which makes user reader/writer. The 'Tagging' is a means for users to express themselves freely through additions of label called 'Tags' to shared resources. One of the problems encountered in current tagging systems is to define the most appropriate tag for a resource. Tags are typically listed in order of popularity, as del-icio-us. But the popularity of the tag does not always reflect its importance and representativeness for the resource to which it is associated. Starting from the assumptions that the same tag for a resource can take different meanings for different users, and a tag from a knowledgeable user would be more important than a tag from a novice user, we propose an approach for weighting resource’s tags based on user profile. For this we define a user model for its integration in calculating the weight of a tag and a formula for calculating it based on three factors namely the user, the degree of approximation between its centers interest and the field of resource, expertise and personal assessment for tags associated to the resource. A resource descriptor containing the best tags is created.
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    Tags Weighting Based on User Profile
    (Springer Berlin Heidelberg, 2011) Kichou, Saida; Mellah, Hakima; Amghar, Youssef; Dahak, Fouad
    The ’Collaborative Tagging’ is gaining popularity on Web 2.0, this new generation of Web which makes user reader/writer. The ’Tagging’ is a mean for users to express themselves freely through additions of label called ’Tags’ to shared resources. One of the problems encountered in current tagging systems is to define the most appropriate tag for a resource. Tags are typically listed in order of popularity, as del-icio-us. But the popularity of the tag does not always reflect its importance and representativeness for the resource to which it is associated. Starting from the assumptions that the same tag for a resource can take different meanings for different users, and a tag from a knowledgeable user would be more important than a tag from a novice user, we propose an approach for weighting resource’s tags based on user profile. For this we define a user model for his integration in the tag weight calculation and a formula for this calculation, based on three factors namely the user, the degree of approximation between his interest centers and the resource field, expertise and personal assessment for tags associated to the resource. A resource descriptor containing the best tags is created.
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    User Profile Extraction Based on Social Tagging Case Study: Handicrafts women in emerging countries
    (CERIST, 2015-07) Kichou, Saida; Meziane, Abdelkrim
    Social tagging systems are based on assigning keywords freely by users, which promotes resources sharing and organization and improves information retrieval. The tags allocation by users is illustrated particularly in sites sharing photos or videos (Flickr, YouTube). As navigations and clicks, tags can be good indicators of the user's interests. In this paper, we examine the case of handicrafts women in emerging countries where we study the usefulness of social tagging to improve profile extraction. Knowing the profile will then help to improve collaboration and ease contact between handicrafts women. Two types of tagging are considered: User-User tagging and User-Product tagging.