El Reino De Este Mundo by Alejo Carpentier

By Alejo Carpentier

Novela calificada por Mario Vargas Llosa como «una de las más acabadas que haya producido los angeles lengua española», “El reino de este mundo” (1949) recrea de forma incomparable los acontecimientos que, a caballo entre los siglos XVIII y XIX, precedieron y siguieron a los angeles independencia haitiana. Estimulado por l. a. prodigiosa histor ia unique y valiéndose de su consumado arte de escritor, Alejo Carpentier (1904-1980) embarca al lector, merced al poder de su palabra, en un mundo exuberante, desaforado y legendario en el que brillan con luz propia el «licántropo» Mackandal, en quien se conjugan l. a. rebelión well known y los poderes sobrenaturales, y el dictador Henri Christophe, quien alumbró en su palacio de Sans-Souci y los angeles ciudadela de l. a. Ferrière arquitecturas dignas de Piranesi.

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The similarity between and is calculated using the cosine similarity function as follows: , ∑ ∑ ∑ Where and is the user’s preference to each attribute value for an active user and a previous user, respectively. One of the previous users who has the highest similarity value with the active user is selected as the active user’s neighbour, . 5 Products Recommendation When an active user’s neighbour has been identified, the session , ,… for this user is used to get products that have been viewed by this user to expand the active user’s query.

The possibility of being a long session for a session with a large length is greater than a session with a small length, and a set of cars with multiple different IDs can be considered more diverse than a set of cars with the same ID. In this part of evaluation, we want to investigate whether or not the length of the session influences the performance of the search models. The length of the session in runs R6 to R2 decreases, which means, the diversity of the cars from R6 to R2 decreases. R1 uses sessions of varying lengths.

The similarity between and is calculated using the cosine similarity function as follows: , ∑ ∑ ∑ Where and is the user’s preference to each attribute value for an active user and a previous user, respectively. One of the previous users who has the highest similarity value with the active user is selected as the active user’s neighbour, . 5 Products Recommendation When an active user’s neighbour has been identified, the session , ,… for this user is used to get products that have been viewed by this user to expand the active user’s query.

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