Abstract: Embodiments of this application provide a method of distributing information from an allocator terminal to a client terminal over a communication network. Information allocation data in an information allocation system is collected by processing circuitry. The information allocation system is configured to allocate the information to a client terminal. The information allocation data includes data associated with a process of allocating the information. Data of actual effect and estimated effect of allocating the information is calculated according to the information allocation data. An allocation instruction is generated according to a comparison between the actual effect data and the corresponding estimated effect data. The allocation instruction is provided to the allocator terminal.

Abstract: A method and an apparatus for displaying information flow, a storage medium and an electronic device are provided. The method includes: dividing a predetermined display time period for the first-type display information into multiple sub-time periods; determining, for the sub-time periods, a segmented display target of each piece of first-type display information in the sub-period based on a display target of the first-type display information in the predetermined display time period; and determining, for each display position, target display information to be allocated to the display position from the information flow, based on an estimated click-through rate of the display position, a proposed value of the second-type display information, historical display data of the first-type display information, and a segmented display target of the first-type display information in a current sub-time period.

Abstract: A method for generating a targeted label is provided. An official account in a social network platform is determined by processing circuitry of an apparatus. A plurality of user accounts in the social network platform that follows the official account of the determined provider is determined. Each of the plurality of user accounts has a corresponding user label that indicates a user attribute of a user associated with the respective user account. The plurality of user accounts is added to a set of targeted user accounts. The targeted label for the recommendation information is determined according to the user labels of the plurality of user accounts. Subsequently a set of target user accounts in the social network platform is determined according to the determined targeted label, and the recommendation information is sent to user clients of the user account included in the set of target user accounts.

Abstract: A method and an apparatus for displaying information flow, a storage medium and an electronic device are provided. The method includes: dividing a predetermined display time period for the first-type display information into multiple sub-time periods; determining, for the sub-time periods, a segmented display target of each piece of first-type display information in the sub-period based on a display target of the first-type display information in the predetermined display time period; and determining, for each display position, target display information to be allocated to the display position from the information flow, based on an estimated click-through rate of the display position, a proposed value of the second-type display information, historical display data of the first-type display information, and a segmented display target of the first-type display information in a current sub-time period.

Abstract: The present disclosure provides method, apparatus, and storage medium for media file delivery. The method includes: obtaining a target resource consumption and an actual resource consumption of a first media file, one time of delivery of the first media file corresponding to one time of resource consumption; comparing the target resource consumption with the actual resource consumption, to obtain a first comparison result; adjusting, according to the first comparison result, a value of a resource contention parameter of the first media file from a first value to a second value, the resource contention parameter being used for determining a delivery order of the first media file when the first media file participates in a delivery contention; and performing a first delivery operation on the first media file according to the resource contention parameter whose value is the second value.

Abstract: A media content placement system is provided. The system may determine a first parameter corresponding to a media object of a plurality of media objects displayed according to a presentation sequence, the first parameter based on a predetermined quantity of times a media object is displayed. The system may determine a second parameter corresponding to the media object, the second placement parameter may be based on of a positive feedback for the media object. The system may determine a third parameter corresponding to the media object, the third parameter may be based on a negative feedback for the media object. The system may determine a presentation index corresponding to a media object. The presentation index may reference a position in a presentation sequence used to display media objects. The system may determine the presentation index based on the first parameter, the second parameter and the third parameter.

Abstract: A method for generating a targeted label is provided. An official account in a social network platform is determined by processing circuitry of an apparatus. A plurality of user accounts in the social network platform that follows the official account of the determined provider is determined. Each of the plurality of user accounts has a corresponding user label that indicates a user attribute of a user associated with the respective user account. The plurality of user accounts is added to a set of targeted user accounts. The targeted label for the recommendation information is determined according to the user labels of the plurality of user accounts. Subsequently a set of target user accounts in the social network platform is determined according to the determined targeted label, and the recommendation information is sent to user clients of the user account included in the set of target user accounts.

Abstract: Embodiments of this application provide a method of distributing information from an allocator terminal to a client terminal over a communication network. Information allocation data in an information allocation system is collected by processing circuitry. The information allocation system is configured to allocate the information to a client terminal. The information allocation data includes data associated with a process of allocating the information. Data of actual effect and estimated effect of allocating the information is calculated according to the information allocation data. An allocation instruction is generated according to a comparison between the actual effect data and the corresponding estimated effect data. The allocation instruction is provided to the allocator terminal.

Abstract: The present disclosure provides method, apparatus, and storage medium for media file delivery. The method includes: obtaining a target resource consumption and an actual resource consumption of a first media file, one time of delivery of the first media file corresponding to one time of resource consumption; comparing the target resource consumption with the actual resource consumption, to obtain a first comparison result; adjusting, according to the first comparison result, a value of a resource contention parameter of the first media file from a first value to a second value, the resource contention parameter being used for determining a delivery order of the first media file when the first media file participates in a delivery contention; and performing a first delivery operation on the first media file according to the resource contention parameter whose value is the second value.

Abstract: Aspects of the disclosure provide a method for delivering a media file. A target delivery volume and an actual delivery volume of the media file corresponding to a same period of time are obtained. The target delivery volume is compared with the actual delivery volume to obtain a comparison result. A correlation parameter of the media file can be adjusted according to the comparison result. The correlation parameter can indicate a correlation between the media file and a delivery object of the media file. The media file can be delivered to the delivery object according to the adjusted correlation parameter.

Abstract: A media content placement system is provided. The system may determine a first parameter corresponding to a media object of a plurality of media objects displayed according to a presentation sequence, the first parameter based on a predetermined quantity of times a media object is displayed. The system may determine a second parameter corresponding to the media object, the second placement parameter may be based on of a positive feedback for the media object. The system may determine a third parameter corresponding to the media object, the third parameter may be based on a negative feedback for the media object. The system may determine a presentation index corresponding to a media object. The presentation index may reference a position in a presentation sequence used to display media objects. The system may determine the presentation index based on the first parameter, the second parameter and the third parameter.

Abstract: A device includes a processor. The processor is configured to determine a hit time for each of a plurality of content items based on at least one of users' history of access to the content items on content distribution clusters in a content distribution network, the users' past ratings of the content items, and social network information associated with the users. The hit time of a content item indicates a number of times that the content item is likely to be accessed by the users. The processor is further configured to compute caching priorities of the content items based on a caching policy of the device and the determined hit times, and initiate a redistribution, over a network, of the plurality of content items over the content distribution clusters of the content distribution network based on the caching priorities.

Abstract: The invention concerns a method and a server for routing between devices of a computer based social network having a plurality of users, wherein upon receipt of a first message from a device (110) associated with a user (u1), a second message is sent to another device (104, 110), wherein the other device (104, 110) is selected from a plurality of predetermined devices depending on the result of an evaluation of at least 1 trust value (S(c,u1;uM)) associated with the user (u1), a category (c) of content of the computer based social network and another user (uM) of the computer based social network.

Abstract: A device includes a processor. The processor is configured to determine a hit time for each of a plurality of content items based on at least one of users' history of access to the content items on content distribution clusters in a content distribution network, the users' past ratings of the content items, and social network information associated with the users. The hit time of a content item indicates a number of times that the content item is likely to be accessed by the users. The processor is further configured to compute caching priorities of the content items based on a caching policy of the device and the determined hit times, and initiate a redistribution, over a network, of the plurality of content items over the content distribution clusters of the content distribution network based on the caching priorities.

Abstract: A Bayesian Inference based recommendation system in a social network is provided. The method and system utilizes content ratings from a querying initiator's friends and their friends depending on the time to live (TTL) and other factors. Receiving users send to the querying initiator recommendation ratings from their friends and a conditional probability of distribution of the recommendation ratings given by the recommender's rooted at the friend. Once this information has been obtained from the friend/hopped friend network, the querying initiator's recommendation query engine constructs the QI's own rating response using the Bayesian Inference Network.