Systems and methods for automated recommendations for social media
OwnerVenkata Ramana Chennamadhavuniinventor
Life of this patent
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Abstract
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.
Claims23
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.
A system for automated recommendations for social media activities, said system comprising:
- page data extraction circuit adapted to extract pre-defined page data parameters in relation to pre-defined reference parameters;
- reference circuit adapted to provide reference parameters in relation to each of said pre-defined page data parameters;
- comparing and correlation circuit adapted to compare and correlate 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;
- recommendation circuit adapted to recommend 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;
- the recommendation circuit 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.
A non-transitory computer readable medium containing executable code, for automated recommendations for social media activities, comprising:
- 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.
Dependencies are inferred from the claim text.