Abstract: In some embodiments, a computer system generates a recommendation for a user of an online service based on user actions that have been performed by the user within a threshold amount of time before the generation of the recommendation. For each user action, the computer system determines an intent classification that identifies an activity of the user and that corresponds to different types of user actions, as well as a preference classification that identifies a target of the activity, and then stores these intent and preference classifications as part of indications of the user actions for use in generating different types of recommendations using different types of recommendation models. Additionally, the computer system may use mini-batches of data from an incoming stream of logged data to train an incremental update to one or more recommendation models.

Abstract: Techniques for selectively transmitting electronic notifications using machine learning techniques based on entity selection history are provided. In one technique, a candidate notification is identified for a target entity. An entity selection rate of the candidate notification by the target entity is determined. Based on the candidate notification, determining a probability of the target entity visiting a target online system. Based on online history of the target entity, a measure of downstream interaction by the target entity relative to one or more online systems is determined. Based on the entity selection rate, the probability, and the measure of downstream interaction by the target entity, a score for the candidate notification is generated. Based on the score, it is determined whether data about the candidate notification is to be transmitted over a computer network to a computing device of the target entity.

Abstract: Technologies for determining whether to send a notification to an entity is provided. Disclosed techniques include receiving entity features describing attributes related to observed entity sessions. A set of entity-specific session features values may be generated from the received entity features. A session-quality prediction model may be generated using the set of entity-specific session feature values. The session-quality prediction model may determine an expected session score for a new entity session for an entity, where the expected session score describes a level of interaction for the new entity session. A notification may be received for a particular entity. The session-quality prediction model may be used to determine the expected session score for a new entity session for the particular entity. A determination may be made as to whether a notification should be sent to the particular entity based upon the expected session score for the new entity session.

Abstract: Technologies for determining whether to send a notification to an entity is provided. Disclosed techniques include receiving entity features describing attributes related to observed entity sessions. A set of entity-specific session features values may be generated from the received entity features. A session-quality prediction model may be generated using the set of entity-specific session feature values. The session-quality prediction model may determine an expected session score for a new entity session for an entity, where the expected session score describes a level of interaction for the new entity session. A notification may be received for a particular entity. The session-quality prediction model may be used to determine the expected session score for a new entity session for the particular entity. A determination may be made as to whether a notification should be sent to the particular entity based upon the expected session score for the new entity session.

Abstract: A cable-membrane tensegrity structure which is asymmetric, and construction method and design method thereof are provided. The cable-membrane tensegrity structure comprises a central opening and is formed by a ring cable (4) and three layers of radial cables comprising a suspension cable (1), a ridge cable (2) and a valley cable (3), wherein the suspension cable (1) is located above the ridge cable (2), the ridge cable (2) is located above the valley cable (3), wherein one end of each of the suspension cable (1), the ridge cable (2) and the valley cable (3) is connected to the ring cable (4), and the other end of each of the suspension cable (1), the ridge cable (2) and the valley cable (3) is connected to a peripheral supporting structure (7), wherein a coating membrane (5) is tensioned between the ridge cable (2) and the valley cable (3) that are adjacent to each other and function as a skeleton to tension the coating membrane (5).

Abstract: A cable-membrane tensegrity structure which is asymmetric, and construction method and design method thereof are provided. The cable-membrane tensegrity structure comprises a central opening and is formed by a ring cable (4) and three layers of radial cables comprising a suspension cable (1), a ridge cable (2) and a valley cable (3), wherein the suspension cable (1) is located above the ridge cable (2), the ridge cable (2) is located above the valley cable (3), wherein one end of each of the suspension cable (1), the ridge cable (2) and the valley cable (3) is connected to the ring cable (4), and the other end of each of the suspension cable (1), the ridge cable (2) and the valley cable (3) is connected to a peripheral supporting structure (7), wherein a coating membrane (5) is tensioned between the ridge cable (2) and the valley cable (3) that are adjacent to each other and function as a skeleton to tension the coating membrane (5).

Abstract: A method of designing a cable dome structure based on a cable dome bearing whole process analysis. The cable dome bearing whole process has three stages comprising a ridge cable relaxation, a ring cable yield and a structure failure.

Abstract: A method of determining a prestressing force of a cable dome structure based on a cable dome tensioning and bearing whole process analysis, comprising: determining an initial geometry of a cable dome structure according to a construction geometry requirement and a construction function requirement; gradually increasing the prestressing force based on the initial prestressing force until a part of the cables of the cable dome structure exit the task, a ring cable reaches material yield, and the cable dome structure does not carry any load, and conducting a simulation analysis on elastoplasticity and geometrical non-linearity in a whole process of loading the structure by use of a load increment method; drawing a graph of structure displacement-whole bearing process and a graph of stress -whole bearing process; and determining the final design prestressing force of the cable dome structure according to a stable bearing capacity and a structural deformation capacity of the cable dome structure under the action o