发明名称 |
Systems and methods for automated recommendations for social media |
摘要 |
A system for automated recommendations for social media activities includes a page data extraction module for extracting pre-defined page data parameters in relation to pre-defined reference parameters; a reference module for providing reference parameters in relation to each of the pre-defined page data; a comparing and correlation module for comparing and correlating each of the extracted page data parameters with each of the corresponding reference parameters to obtain a corresponding comparative and correlative score for each of the parameters; and a recommendation module for recommending action points based on each of the comparative and correlative scores for each of the parameters. |
申请公布号 |
US8949330(B2) |
申请公布日期 |
2015.02.03 |
申请号 |
US201113280424 |
申请日期 |
2011.10.25 |
申请人 |
|
发明人 |
Chennamadhavuni Venkata Ramana |
分类号 |
G06F15/16;G06Q10/10 |
主分类号 |
G06F15/16 |
代理机构 |
Timberline Patent Law Group PLLC |
代理人 |
Timberline Patent Law Group PLLC |
主权项 |
1. A computer-implemented method for automated recommendations for social media activities implemented by one or more processors of a computing device that is operatively coupled to a network, said method comprising the steps of:
extracting pre-defined page data parameters in relation to pre-defined reference parameters; providing reference parameters in relation to each of said pre-defined page data parameters; comparing and correlating each of said extracted pre-defined page data parameters with each of said corresponding reference parameters to obtain a corresponding comparative and correlative score for each of said pre-defined page data parameters; recommending action points based on each of said comparative and correlative scores for each of said pre-defined page data parameters and based on pre-defined system-defined parameters; recommending topics for a page in order to engage visitors, including: manually populating a database of topics; searching for relevant or latest topics based on content from a natural language processing mechanism; crawling the page to collect crawled topics from the page in relation to a categorization, data, and visitor inputs associated with the page; aggregating news items, feed data, current web activity, and real time web events from an internet in relation to each of said crawled topics; and correlating topics from said database, said crawled topics, and said aggregated information in order to display potentially pertinent topics to a user or a visitor of the page. |
地址 |
|