Abstract: Methods, systems, and computer programs are presented for selecting notifications based on an affinity score between a content generator and a viewer of the content. One method includes capturing interactions of content generators with notifications, received by the content generators, associated with viewer responses to creator-generated content items. The method further includes training a machine-learning model based on the interactions, and detecting a first set of notifications, for a first content generator, associated with interactions of a set of viewers to first-content generator content. The ML model calculates an affinity score between the first content generator and each viewer, and the set of first notifications are ranked based on the affinity scores of the first content generator and the viewer associated with each notification.

Abstract: A computer determines whether an original query expressed in an initial query language includes clauses unsupported by a target query language. If so, the computer separates the original query into a client-side query and one or more server-side queries. The computer then determines whether the client-side query is efficient. If so, the computer translates the one or more server-side queries into one or more supplemental queries expressed in the target query language and receives server-side result sets for the supplemental queries. The computer generates a client-side result set by querying the server-side result sets using the client-side query. The computer returns the client-side result set as a result set of the original query. If the client-side query is not efficient, the computer returns an error message. Thus, by identifying inefficient queries, the computer effectively controls (i.e., throttles) the amount of work performed by the computer to process queries.

Abstract: A computer determines whether an original query expressed in an initial query language includes clauses unsupported by a target query language. If so, the computer separates the original query into a client-side query and one or more server-side queries. The computer then determines whether the client-side query is efficient. If so, the computer translates the one or more server-side queries into one or more supplemental queries expressed in the target query language and receives server-side result sets for the supplemental queries. The computer generates a client-side result set by querying the server-side result sets using the client-side query. The computer returns the client-side result set as a result set of the original query. If the client-side query is not efficient, the computer returns an error message. Thus, by identifying inefficient queries, the computer effectively controls (i.e., throttles) the amount of work performed by the computer to process queries.

Abstract: A motor vehicle rear view mirror wiper device comprising a rear view mirror case connected to the body of a car by a contracting member and having a slide holder mounted thereon to hold a lens, two slides mounted on said slide holder and moved by a piston and a cross wire to carry a wiper blade in cleaning the lens.

Abstract: A wiper device for cleaning a motor vehicle rear view mirror is provided. The wiper device includes a water sprayer unit (40) connected to a motor vehicle's rear view mirror. A wiper (32) fastened between two slides (31,31') is driven by a motor (11) by means of a pull wire extending to an intermediate pair of pulley wheels in a cross-over manner to remove water and dust from the rear view mirror. A control circuit (60) is provided to drive the motor (11), allowing for a voltage polarity reversal to change its rotary direction.