COMPUTERIZED SYSTEMS AND METHODS FOR LOCATION-BASED CONTENT FILTERING AND DELIVERY
The disclosed systems and methods provide novel mechanisms for a location-based and content-relevant recommendation framework. The disclosed framework involves a hierarchical artificial intelligence/machine learning (AI/ML) based solutions that maximizes content quality and user engagement. The framework can identify local news content and accurately match the local content to users based on a user-based location proximity and relevancy. Accordingly, such content can then be provided to each user, which can be based on each user's preference settings for receiving recommended content.
1 . A method comprising:
identifying, by a device, a user, the user being associated with a location and having a set of predetermined interests;
querying, by the device, an indexed database of a plurality of news articles, each news article having corresponding tags indicating a location and context;
identifying, by the device, a set of news articles based on the query, the set of articles comprising content corresponding to the user location, the context of the set of articles corresponding to the predetermined interests of the user; and
communicating, by the device, the set of news articles to a device of the user.
2 . The method of claim 1 , further comprising:
analyzing the set of articles; and
determining a ranking of the set of articles, wherein the ranking is based on an analysis of the context of the set of articles respective to the predetermined interests of the user, wherein communication of the set of news articles is based on the determined ranking.
3 . The method of claim 1 , further comprising:
identifying, over a network, the plurality of news articles;
analyzing the plurality of news articles;
determining, based on the analysis, information related to each of the articles in the plurality; and
categorizing each of the articles in the plurality based on the determined information.
4 . The method of claim 3 , wherein the categorization provides an indication of a type topic covered in each news article, wherein the tags in the indexed database are based on the categorization.
5 . The method of claim 3 , wherein the identification of the plurality of news articles corresponds to a time period related to publishing of the news article on the network.
6 . The method of claim 1 , wherein the query comprises information related to the user location and a time period.
7 . The method of claim 1 , wherein the location of the user is a current location of the user.
8 . The method of claim 1 , wherein the location of the user corresponds to a residence of the user.
9 . The method of claim 1 , further comprising:
detecting an action related to the user, wherein the identification of the user is based on detection of the action.
10 . The method of claim 9 , wherein the action corresponds to a user request.
11 . A non-transitory computer-readable storage medium tangibly encoded with computer-executable instructions, that when executed by the device, performs a method comprising:
identifying, by a device, a user, the user being associated with a location and having a set of predetermined interests;
querying, by the device, an indexed database of a plurality of news articles, each news article having corresponding tags indicating a location and context;
identifying, by the device, a set of news articles based on the query, the set of articles comprising content corresponding to the user location, the context of the set of articles corresponding to the predetermined interests of the user; and
communicating, by the device, the set of news articles to a device of the user.
12 . The non-transitory computer-readable storage medium of claim 11 , further comprising:
analyzing the set of articles; and
determining a ranking of the set of articles, wherein the ranking is based on an analysis of the context of the set of articles respective to the predetermined interests of the user, wherein communication of the set of news articles is based on the determined ranking.
13 . The non-transitory computer-readable storage medium of claim 11 , further comprising:
identifying, over a network, the plurality of news articles;
analyzing the plurality of news articles;
determining, based on the analysis, information related to each of the articles in the plurality; and
categorizing each of the articles in the plurality based on the determined information.
14 . The non-transitory computer-readable storage medium of claim 13 , wherein the categorization provides an indication of a type topic covered in each news article, wherein the tags in the indexed database are based on the categorization.
15 . The non-transitory computer-readable storage medium of claim 11 , wherein the query comprises information related to the user location and a time period.
16 . A device comprising:
a processor configured to:
identify a user, the user being associated with a location and having a set of predetermined interests;
query an indexed database of a plurality of news articles, each news article having corresponding tags indicating a location and context;
identify a set of news articles based on the query, the set of articles comprising content corresponding to the user location, the context of the set of articles corresponding to the predetermined interests of the user; and
communicate the set of news articles to a device of the user.
17 . The device of claim 16 , wherein the processor is further configured to:
analyze the set of articles; and
determine a ranking of the set of articles, wherein the ranking is based on an analysis of the context of the set of articles respective to the predetermined interests of the user, wherein communication of the set of news articles is based on the determined ranking.
18 . The device of claim 16 , wherein the processor is further configured to:
identify, over a network, the plurality of news articles;
analyze the plurality of news articles;
determine, based on the analysis, information related to each of the articles in the plurality; and
categorize each of the articles in the plurality based on the determined information.
19 . The device of claim 18 , wherein the categorization provides an indication of a type topic covered in each news article, wherein the tags in the indexed database are based on the categorization.
20 . The device of claim 16 , wherein the query comprises information related to the user location and a time period.