Augmenting search queries based on personalized association patterns

A computer program product for augmenting a search query of a first user, based on analysis of content contributions of the first user, the computer program product comprising:

• a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions executable by one or more processors, the program instructions comprising:
• program instructions to gather content contributions submitted to a media source and generated by a first user of the media source and timeframe information associated with the electronic content contributions, wherein the electronic content contribution includes generation of electronic content by the first user and response actions by the first user to the electronic content posted by other users;
• program instructions to perform semantic analysis and syntactic analysis on the content contributed to the media source by the first user of the media source;
• program instructions to identify topic entities from the electronic content contributed to the media source by the first user of the media source, based on the semantic analysis and syntactic analysis performed on the electronic content contributed by the first user of the media source;
• program instructions to determine, based on the semantic analysis and the syntactic analysis, attributes of the identified topic entities;
• program instructions to group the identified topic entities based on related attributes of the identified topic entities;
• program instructions to determine relationships between the identified topic entities including time-based relationships, based on one or more groups of the identified topic entities and the semantic and syntactic analysis of the content contributed by the first user of the media source;
• program instructions to determine a strength of the relationships, respectively, between pairs of the identified topic entities indicated by a magnitude, wherein the magnitude is based on a frequency of association of the respective pairs of topic entities, a currency of the respective pairs of topic entities, a duration of association of the respective pairs of topic entities over a time period, and a quantity of content associating the respective pairs of topic entities;
• program instructions to generate a graph based on an ontology model, comprised of a grouping of a plurality of the identified topic entities from the electronic content contributed by the first user, and the relationships between the identified topic entities, including the magnitude indicating the strength of the relationships, respectively, between the identified topic entities;
• and
• responsive to determining that a search query has been initiated by the first user, program instructions to present to the first user, additional topic entities for augmenting the search query, based on the ontology model, wherein the ontology model is represented by the plurality of the identified topic entities as nodes of a generated graph, the relationships between the plurality of the identified topic entities as edges of the graph, and the edges indicating the magnitude of the strength of the relationships interconnecting the nodes of the graph.

A computer system for augmenting a search query of a first user, based on analysis of content contributions of the first user, the computer system comprising:

• one or more computer processors;
• one or more computer readable storage media;
• and
• program instructions stored on the computer readable storage media for execution by at least one of the one or more processors, the program instructions comprising:
• program instructions to gather content contributions submitted to a media source and generated by a first user of the media source and timeframe information associated with the electronic content contributions, wherein the electronic content contribution includes generation of electronic content by the first user and response actions by the first user to the electronic content posted by other users;
• program instructions to perform semantic analysis and syntactic analysis on the content contributed to the media source by the first user of the media source, based on the semantic analysis and syntactic analysis performed on the content contributed by the first user of the media source;
• program instructions to identify topic entities from the electronic content contributed by the first user of the media source, based on the semantic analysis and syntactic analysis performed on the electronic content contributed by the first user of the media source;
• program instructions to determine, based on the semantic analysis and the syntactic analysis, attributes of the identified topic entities;
• program instructions to group the identified topic entities based on related attributes of the identified topic entities;
• program instructions to determine relationships between the identified topic entities including time-based relationships, based on one or more groups of the identified topic entities and the semantic and syntactic analysis of the content contributed by the first user of the media source;
• program instructions to determine a strength of the relationships, respectively, between the pairs of identified topic entities indicated by a magnitude, wherein the magnitude is based on a frequency of association of the respective pairs of topic entities, a currency of the respective pairs of topic entities, a duration of association of the respective pairs of topic entities over a time period, and a quantity of content associating the respective pairs of topic entities;
• program instructions to generate a graph based on an ontology model, comprised of a grouping of a plurality of the identified topic entities from the electronic content contributed by the first user, and the relationships between the identified topic entities, including the magnitude indicating the strength of the relationships, respectively, between the identified topic entities;
• and
• responsive to determining that a search query has been initiated by the first user, program instructions to present to the first user, additional topic entities as selection choices for augmenting the search query, based on the ontology model, wherein the ontology model is represented by the plurality of the identified topic entities as nodes of a generated graph, the relationships between the plurality of the identified topic entities as edges of the graph, and the edges indicating the magnitude of the strength of the relationships interconnecting the nodes of the graph.