公开(公告)号：US20170220589A1

公开(公告)日：2017-08-03

申请号：US15389136

申请日：2016-12-22

Applicant: GUANGZHOU UCWEB COMPUTER TECHNOLOGY CO., LTD.

Inventor： WENQING YAO ,  RONGSHEN LONG

IPC: G06F17/30

CPC classification number: G06F16/285 ,  G06F16/2228

Abstract: An item recommendation system includes a candidate item database system, a communication module, and a processor. Candidate items to be recommended to a user are stored in the candidate item database system in association with the access items accessed by the user. The communication module acquires one or more access items accessed by the user recently. The processor acquires one or more candidate items and correlation indexes thereof from the candidate item database system based on the one or more access items, and generates an item recommendation list, wherein the item recommendation list comprises the one or more candidate items and recommendation weights thereof, and the recommendation weights are determined based on the correlation indexes.

公开(公告)号：US20170024423A1

公开(公告)日：2017-01-26

申请号：US15210979

申请日：2016-07-15

Applicant: GUANGZHOU UCWEB COMPUTER TECHNOLOGY CO., LTD

Inventor： JIE LIANG ,  YUXIN JIANG ,  WENQING YAO ,  HUOCHENG WU ,  YANWEI XU

IPC: G06F17/30 ,  G06F17/16 ,  G06N7/00

CPC classification number: G06F16/215 ,  G06F16/24 ,  G06F16/24578 ,  G06F16/9574

Abstract: A method is provided for webpage pre-reading. The method includes obtaining visiting information during a period of time for multiple webpages of each user from a plurality of users including a current user; determining respective similarity values between the current user and the plurality of users based on the visiting information; determining one or more most-similar users based on the similarity values; and when the current user is browsing a current webpage, predicting a target webpage to be accessed by the most-similar users as a target webpage for the current user and pre-reading the target webpage.

Abstract translation: 提供了一种用于网页预读的方法。 该方法包括从包括当前用户的多个用户在每个用户的多个网页的一段时间内获取访问信息; 基于所述访问信息确定当前用户和所述多个用户之间的相似度值; 基于相似度值确定一个或多个最相似的用户; 并且当当前用户正在浏览当前网页时，预测由最相似用户访问的目标网页作为当前用户的目标网页并预读目标网页。