Lazos de Silencio by Andrea Milano

By Andrea Milano

A pocos días de su boda Miranda Saint James descubre que su prometido, Stephen Callahan los angeles engaña con otra mujer. Dolida por su traición, rompe el compromiso y le ofrece a su padre, un poderoso empresario gastronómico hacerse shipment de l. a. apertura de un nuevo restaurante en Cabo Elizabeth. El viaje le permitirá alejarse del acoso de Stephen, quien en su afán por lograr su perdón se vuelve agresivo.
Al llegar a l. a. ciudad de inmediato despierta el interés del surgeon Kyle Benson y aunque Miranda decidió tomarse vacaciones de los hombres, el destino conspira en su contra cuando un extraño con quien tuvo un perturbador encuentro en el camino, solicita trabajar para ella. Él es Nick Randall, un hombre atractivo y misterioso, quien l. a. atraerá como un imán a pesar de ella misma.

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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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