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.
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