NETWORK LIQUIDITY TO ENGAGEMENT MAPPING

    公开(公告)号:US20220092703A1

    公开(公告)日:2022-03-24

    申请号:US17028672

    申请日:2020-09-22

    摘要: Systems and methods for engagement mapping based on counterfactual experiments are provided. In example embodiments, a network system receives parameters for one or more counterfactual experiments or tests. Based on the parameters, the network system selects one or more users of a social network platform to subject to the test(s) and selects edges of a social network of each of the one or more users to block. The network system then filters out notifications and feed items from the selected edges of the one or more users. Behavior data of the one or more users based on the filtering out of the notifications and feed items is aggregated, whereby the behavior data indicates engagement of the one or more users on the social networking platform based on the filtering of the notifications and feed items. Recommendations are derived based on the aggregated behavior data and presented to the users.

    Constrained multi-slot optimization for ranking recommendations

    公开(公告)号:US11263704B2

    公开(公告)日:2022-03-01

    申请号:US15400738

    申请日:2017-01-06

    摘要: A system, a machine-readable storage medium storing instructions, and a computer-implemented method are described herein are directed to a Content Optimization Engine that determines a display probability for each content item in a set of content items. Each respective display probability corresponds to a given content item's probability of display in a specific content slot of a plurality of content slots in a social network feed of a target member account in a social network service. The Content Optimization Engine calculates a selection probability for each content item in an ordered set of the content items, based on each display probability and a set of interaction effects. The Content Optimization Engine causes display of the ordered set of content items in the target member account's social network feed based on satisfaction of the first and second targets.

    Machine-learning-based application for improving digital content delivery

    公开(公告)号:US11055668B2

    公开(公告)日:2021-07-06

    申请号:US16019359

    申请日:2018-06-26

    摘要: A machine for improving content delivery generates a graph representing a personalized conversational flow for sequenced delivery of digital content. The graph includes nodes representing interactive dialogues between a machine and a user, and edges that connect the nodes. The machine causes display of a user interface including a prompt related to job-seeking guidance. The machine, based on a first action in response to the prompt, dynamically adjusts the graph, the dynamic adjusting including selecting a first node. The machine generates and causes display of a first incentive content item, and a first call-to-action content item. The machine, in response to a second action received in response to the first call-to action content item, dynamically selects an edge connecting the first node and a further node. The dynamic selecting of the edge results in display of a further incentive content item, and a further call-to-action content item.

    Near real time relevance ranker for notifications

    公开(公告)号:US10516644B2

    公开(公告)日:2019-12-24

    申请号:US15966567

    申请日:2018-04-30

    摘要: A notification platform for distribution of notification content in an on-line social network system addresses the technical problem of optimizing the volume of quality notifications that are being delivered to a given member. A notification delivery system is designed as a stream processing system that can fetch, store, and process data in a near-line fashion. It can perform feature generation, processing and scoring of notifications, as well as ranking of the notifications based on their respective relevance scores that are calculated using machine learning techniques. The notification delivery system is positioned centrally with respect to different producers of notifications, such that it can consume centrally-stored information about members' holistic notification experiences.

    SOCIAL NETWORK NAVIGATION BASED ON CONTENT RELATIONSHIPS

    公开(公告)号:US20190385089A1

    公开(公告)日:2019-12-19

    申请号:US16008190

    申请日:2018-06-14

    IPC分类号: G06N99/00 H04L29/08 G06F17/30

    摘要: Methods, systems, and computer programs are presented for providing a user experience that facilitates navigation among different topics and articles on a social network. One method includes an operation for identifying a hierarchy of topics, each topic corresponding to a respective subject, where the hierarchy defines relationships between the topics. A first topic page for a first topic is presented in a user interface in the social network. The first topic page includes articles and first options for navigating to topic pages of topics related to the first topic. The method further includes detecting a selection of a first article. In response to detecting the selection, a first article page for the first article is presented in the user interface. The first article page includes details of the first article and second options for navigating to topic pages of topics related to the first article.