METHODS AND SYSTEMS FOR UPDATING METADATA OF A MEDIA ASSET
Systems and methods are described for generating metadata for a media asset. The system retrieves an associated first metadata item for a media asset, where the first metadata item includes a first label field and an associated first data field. The system tries to fill in the first data field by looking it up in a remote database. If the remote database lacks data needed to fill in the first data field, the system generates a natural language request and publishes it to a plurality of users. The system analyzes a plurality of replies received in response to the published request to identify a text segment that is common to at least some of the replies. The system fills in the first data field with the identified text segment.
1 . A method comprising:
storing in a database a metadata data structure for a video asset, wherein the metadata data structure comprises a plurality of field labels and respective text item for each respective field label of the plurality of field labels;
determining that a particular field label lacks a respective text item;
based at least on part the determining that the particular field label lacks the respective text item:
retrieving a screenshot from a stored version of the video asset; and
generating a post that comprises: (a) a query related to the particular field label and, (b) the screenshot retrieved from the stored version of the video asset;
publishing the post on a social network;
collecting a plurality of user replies to the published post on the social network; and
generating a new text item based on the plurality of user replies; and
modifying the metadata data structure stored in the database to include the new text item in association with the particular field label.
2 . The method of claim 1 , further comprising;
analyzing the plurality of user replies to the published post on the social network by parsing each of the plurality of user replies; and
identifying a common text segment in at least some of the plurality of user replies.
3 . The method of claim 2 , wherein the analyzing the plurality of user replies to the published post on the social network by parsing each of the plurality of user replies, further comprises:
comparing a character length of each respective plurality of user replies to a threshold, wherein the respective user reply is discarded if the character length of the respective user reply is not above the threshold length.
4 . The method of claim 1 , wherein the determining that the particular field label lacks the respective text item is determined by a media guidance application.
5 . The method of claim 4 , wherein the media guidance application transmits a request to a remote database to collect additional metadata for the metadata data structure associated with the particular field label that lacks the respective text item.
6 . The method of claim 1 , wherein the generating the post further comprises;
identifying a stored natural language request template of a plurality of stored natural language request templates that matches the particular field label; and
template to generate a natural language request for the post.
7 . The method of claim 1 , wherein the collecting the plurality of user replies comprises;
collecting a specific number of user replies wherein the specific number of user replies is compared to a threshold.
8 . The method of claim 7 , further comprising based at least in part on the specific number of user replies being less than the threshold, triggering a time interval to automatically collect a second plurality of user replies.
9 . The method of claim 8 , wherein the publishing the post on the social network comprises publishing a video clip from the video asset with the post.
10 . The method of claim 1 , wherein the social network is a private third-party network.
11 . A system comprising:
control circuitry configured to:
store in a database a metadata data structure for a video asset, wherein the metadata data structure comprises a plurality of field labels and respective text item for each respective field label of the plurality of field labels; and
determine that a particular field label lacks a respective text item;
based at least on part the determining that the particular field label lacks the respective text item:
retrieve a screenshot from a stored version of the video asset; and
generate a post that comprises: (a) a query related to the particular field label and, (b) the screenshot retrieved from the stored version of the video asset; and
input/output circuitry configured to:
publish the post on a social network; and
wherein the control circuitry is further configured to:
collect a plurality of user replies to the published post on the social network; and
generate a new text item based on the plurality of user replies; and
modify the metadata data structure stored in the database to include the new text item in association with the particular field label.
12 . The system of claim 11 , wherein the control circuitry is further configured to collect the plurality of user replies by:
analyzing the plurality of user replies to the published post on the social network by parsing each of the plurality of user replies; and
identifying a common text segment in at least some of the plurality of user replies.
13 . The system of claim 12 , wherein the control circuitry is further configured to analyze the plurality of user replies by:
parsing each of the plurality of user replies; and
comparing a character length of each respective plurality of user replies to a threshold, wherein the respective user reply is discarded if the character length of the respective user reply is not above the threshold length.
14 . The system of claim 11 , wherein the control circuitry is configured to determine that the particular field label lacks the respective text item by a media guidance application.
15 . The system of claim 14 , wherein the media guidance application transmits a request to a remote database to collect additional metadata for the metadata data structure associated with the particular field label that lacks the respective text item.
16 . The system of claim 11 , wherein the control circuitry is further configured generate the post by:
identifying a stored natural language request template of a plurality of stored natural language request templates that matches the particular field label; and
selecting the stored natural request language template to generate a natural language request for the post.
17 . The system of claim 11 , wherein the control circuitry is further configured to collect the plurality of user replies by;
collecting a specific number of user replies wherein the specific number of user replies is compared to a threshold.
18 . The system of claim 17 , wherein the control circuitry is further configured to:
based at least in part on the specific number of user replies being less than the threshold, trigger a time interval to automatically collect a second plurality of user replies.
19 . The system of claim 18 , wherein the input/output circuitry is further configured to publish the post on the social network by publishing a video clip from the video asset with the post.
20 . The system of claim 11 , wherein the social network is a private third-party network.