The vastness of social media ensures that there is no control on the scope of information. Such situations pose a major challenge of trust and security. When the trustworthiness is considered, Social Network (SN) category proves a major risk in social media. The proposed study concentrates on “Social Networks”, the challenges faced and suggest a method to evaluate the trust of the user on the social network. Trusted similar user is recommended to alters of the ego user who is receiving friend request from another alter or to raise the friend request towards the trusted similar user. The recommended trust is computed using SDE based reputation model and topic modeling with LDA. Hybrid recommendation technique is implemented using CANOPY clustering which evolves various groups of trusted similar users. Each group is evaluated for its quality and the users within the group are recommended for friend request. Effective performance of the recommendation system is evaluated.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The vastness of social media ensures that there is no control on the scope of information. Such situations pose a major challenge of trust and security. When the trustworthiness is considered, Social Network (SN) category proves a major risk in social media. The proposed study concentrates on 'Social Networks', the challenges faced and suggest a method to evaluate the trust of the user on the social network. Trusted similar user is recommended to alters of the ego user who is receiving friend request from another alter or to raise the friend request towards the trusted similar user. The recommended trust is computed using SDE based reputation model and topic modeling with LDA. Hybrid recommendation technique is implemented using CANOPY clustering which evolves various groups of trusted similar users. Each group is evaluated for its quality and the users within the group are recommended for friend request. Effective performance of the recommendation system is evaluated. 64 pp. Englisch. N° de réf. du vendeur 9783659644078
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The vastness of social media ensures that there is no control on the scope of information. Such situations pose a major challenge of trust and security. When the trustworthiness is considered, Social Network (SN) category proves a major risk in social media. N° de réf. du vendeur 583570862
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The vastness of social media ensures that there is no control on the scope of information. Such situations pose a major challenge of trust and security. When the trustworthiness is considered, Social Network (SN) category proves a major risk in social media. The proposed study concentrates on 'Social Networks', the challenges faced and suggest a method to evaluate the trust of the user on the social network. Trusted similar user is recommended to alters of the ego user who is receiving friend request from another alter or to raise the friend request towards the trusted similar user. The recommended trust is computed using SDE based reputation model and topic modeling with LDA. Hybrid recommendation technique is implemented using CANOPY clustering which evolves various groups of trusted similar users. Each group is evaluated for its quality and the users within the group are recommended for friend request. Effective performance of the recommendation system is evaluated.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch. N° de réf. du vendeur 9783659644078
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The vastness of social media ensures that there is no control on the scope of information. Such situations pose a major challenge of trust and security. When the trustworthiness is considered, Social Network (SN) category proves a major risk in social media. The proposed study concentrates on 'Social Networks', the challenges faced and suggest a method to evaluate the trust of the user on the social network. Trusted similar user is recommended to alters of the ego user who is receiving friend request from another alter or to raise the friend request towards the trusted similar user. The recommended trust is computed using SDE based reputation model and topic modeling with LDA. Hybrid recommendation technique is implemented using CANOPY clustering which evolves various groups of trusted similar users. Each group is evaluated for its quality and the users within the group are recommended for friend request. Effective performance of the recommendation system is evaluated. N° de réf. du vendeur 9783659644078
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Development of Novel Model for Trustable Users Recommendation in OSN | A Computational Model for Identifying Trustable Users in Online Social Network | M. Ishwariya (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9783659644078 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 121437109
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