Aguafuertes Porteñas by Roberto Arlt

By Roberto Arlt

Hijo de un inmigrante prusiano y una mujer italiana, Roberto Arlt nació en Buenos Aires en abril de 1900. Como muchos jóvenes de l. a. época, no tuvo l. a. oportunidad de realizar estudios avanzados. A los dieciséis años se lanzó
a vivir como trotamundos en las calles de los angeles ciudad. Los barrios periféricos le aportaron l. a. materia prima para sus creaciones. Allí conoció hampones, predicadores esotéricos, revolucionarios y seres marginales que luego cobraron vida en novelas como "El juguete rabioso" (1926), "Los siete locos" (1929) y "Los lanzallamas" (1931).
El periodismo fue el medio definitivo que le sirvió para ganarse l. a. vida. Contratado por el diario El Mundo en 1928, comenzó a escribir en el bullicio de las redacciones sus célebres "Aguafuertes Porteñas", piezas periodísticas que constituyeron el primer gran éxito editorial de las letras argentinas.
Su estilo directo, coloquial, a veces jocoso y siempre incisivo, fue una renovación dentro de las formas literarias cultivadas hasta entonces.
Si bien dejó de escribir estas piezas en 1935, todavía hoy conservan una poderosa vigencia.

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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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