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Maximizing the propensity of content consumption according to content complexity and content consumption time

机译:根据内容复杂度和内容消耗时间最大化内容消耗倾向

摘要

The disclosed embodiments provide a system for maximizing the propensity of content consumption according to content complexity and content consumption time. During operation, the system receives a request from a user to access a content feed. Based on a time of receipt, the system identifies a current seasonality that corresponds to reading habits of the user during a time period encompassing the time of receipt. The system then accesses a profile for the user to obtain a reading speed of the user and the reading habits of the user for the current seasonality. Next, the system: identifies a subset of content items; estimates a reading session length; and determines a complexity, with regard to the user, for each content item. The system then creates the content feed by ordering the subset of content items according to the reading session length and the complexity of each content item.
机译:公开的实施例提供了一种用于根据内容复杂度和内容消耗时间来使内容消耗的倾向最大化的系统。在操作期间,系统从用户接收访问内容提要的请求。基于接收时间,系统在包含接收时间的时间段内识别与用户的阅读习惯相对应的当前季节性。然后,系统访问用户的配置文件,以获取用户的阅读速度和当前季节的用户阅读习惯。接下来,系统:识别内容项的子集;估计阅读时间长度;并确定每个内容项在用户方面的复杂性。然后,系统通过根据阅读会话长度和每个内容项目的复杂性对内容项目的子集进行排序来创建内容Feed。

著录项

  • 公开/公告号US10062101B2

    专利类型

  • 公开/公告日2018-08-28

    原文格式PDF

  • 申请/专利权人 LINKEDIN CORPORATION;

    申请/专利号US201615228880

  • 申请日2016-08-04

  • 分类号G06Q30;G06Q30/06;H04L29/08;G06N5/02;

  • 国家 US

  • 入库时间 2022-08-21 13:03:08

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