Invention Grant
- Patent Title: Predictively suggesting websites
- Patent Title (中): 预测网站
-
Application No.: US13089996Application Date: 2011-04-19
-
Publication No.: US08600968B2Publication Date: 2013-12-03
- Inventor: Roman Holenstein , Qing Chang , Zhenghao Wang , Ravi Shahani
- Applicant: Roman Holenstein , Qing Chang , Zhenghao Wang , Ravi Shahani
- Applicant Address: US WA Redmond
- Assignee: Microsoft Corporation
- Current Assignee: Microsoft Corporation
- Current Assignee Address: US WA Redmond
- Agency: Shook Hardy & Bacon LLP
- Main IPC: G06F17/30
- IPC: G06F17/30 ; G06F7/00

Abstract:
Computer-readable media, computer systems, and computing methods are provided for recommending websites that are relevant to a current website to which a user has navigated. A search engine is used to track a set of websites the user has visited immediately prior to the current website, while predictive model(s) are used to generate a sequence of websites that include the current website and the tracked websites. The sequence is compared against strings of websites within a browser-history log to identify matching strings, where the matching strings include the sequence and a respective candidate website. A probability of relevance is computed from a frequency that each of the matching strings has been visited within a predefined time frame. The probability of relevance for each of the matching strings is ranked against one another to distill the highest-ranked matching strings, which are parsed to extract and present the candidate websites included therein.
Public/Granted literature
- US20120271805A1 PREDICTIVELY SUGGESTING WEBSITES Public/Granted day:2012-10-25
Information query