The Wall by Marlen Haushofer

By Marlen Haushofer

“I can permit myself to jot down the reality; the entire humans for whom i've got lied all through my existence are dead…” writes the heroine of Marlen Haushofer’s The Wall, a particularly usual, unnamed middle-aged girl who awakens to discover she is the final residing individual. Surmising her solitude is the results of a too winning army scan, she starts off the terrifying paintings of not just survival, yet self-renewal. The Wall is without delay an easy and relocating speak – of potatoes and beans, of hoping for a calf, of counting suits, of forgetting the flavor of sugar and using one’s identify – and a tense meditation on twentieth century historical past.

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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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