VideoContentSearchListAnchorSetFeatures

AI Overview😉

The potential purpose of this module is to analyze and understand video content, particularly the descriptions and anchors (timestamps) within the video. It appears to be focused on extracting relevant information from video descriptions, such as lists of items, and evaluating the quality and relevance of these descriptions.
This module could impact search results by influencing the ranking of videos based on the quality and relevance of their descriptions. Videos with more accurate and descriptive anchors, as well as those with higher-quality lists of items, may be considered more relevant and therefore ranked higher in search results. Conversely, videos with poor-quality descriptions or anchors may be penalized and ranked lower.
To be more favorable for this function, a website could focus on creating high-quality, descriptive video descriptions that include accurate and relevant anchors. This could involve using natural language processing techniques to generate descriptions that are more likely to match user search queries. Additionally, websites could focus on creating more structured and organized video content, such as using clear and concise lists of items, to make it easier for the algorithm to extract relevant information.

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GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchListAnchorSetFeatures (google_api_content_warehouse v0.4.0)

Cluster-level Metadata about list anchors. Next id: 15.

Attributes

aggregatedSpanText (type: String.t, default: nil) - The following fields are used for description span anchors, The aggregated span token texts over all the span candidates of the anchor set.
anchorSetSpanScoreStats (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchMetricStats.t, default: nil) - A summary of the span scores over the anchor set. This summary is calculated over the aggregation of the individual token spans belonging to the span candidates of anchors.
babelMatchScoreStats (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchMetricStats.t, default: nil) - Median, average and standard deviation of babel_match_score among anchors in the same VideoAnchors cluster.
contextTokenCountStats (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchMetricStats.t, default: nil) - A summary of the context token counts over the anchor set.
durationSpanRatio (type: number(), default: nil) - The ratio of anchors timespan duration over the total duration of the video. Anchors timespan duration is defined as the time span from the first anchor to the last anchor in VideoAnchors.
durationToPredictedTimeMsStats (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchMetricStats.t, default: nil) - Median, average and standard deviation of duration_to_predicted_time_ms among anchors in the same VideoAnchors cluster.
listAnchorSource (type: String.t, default: nil) - The source of anchors extracted from the video descriptions.
listDescriptionItemsSize (type: integer(), default: nil) - The total number of list items mentioned in the video description. Not all these list items are necessarily found as list anchors.
matchedListDescriptionAnchorsRatio (type: number(), default: nil) - The number of matched anchors in the list anchors over the total number of post-filtering list items in the video description, i.e. matched_list_description_anchors_ratio = matched_list_description_anchors_size / post_filtering_list_description_items_size.
matchedListDescriptionAnchorsSize (type: integer(), default: nil) - The number of matched list anchors found in the ASR. The matched list anchors are a subset of the post-filtering list items in the video description, and as such matched_list_description_anchors_size <= post_filtering_list_description_items_size.
postFilteringListDescriptionItemsSize (type: integer(), default: nil) - The total number of list items in the video description that are actually considered for matching. This is a subset of list items in the video description that passed filterings such as language filtering, i.e. post_filtering_list_description_items_size <= list_description_items_size
pretriggerScoreStats (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchMetricStats.t, default: nil) - Median, average and standard deviation of pretrigger_score among anchors in the same cluster.
spanTokenCountRatioStats (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchMetricStats.t, default: nil) - A summary of the span token count ratios over the anchor set.
spanTokenCountStats (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchMetricStats.t, default: nil) - A summary of the span token counts over the anchor set.

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

Link to this type

t()

@type t() ::
  %GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchListAnchorSetFeatures{
    aggregatedSpanText: String.t() | nil,
    anchorSetSpanScoreStats:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchMetricStats.t()
      | nil,
    babelMatchScoreStats:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchMetricStats.t()
      | nil,
    contextTokenCountStats:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchMetricStats.t()
      | nil,
    durationSpanRatio: number() | nil,
    durationToPredictedTimeMsStats:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchMetricStats.t()
      | nil,
    listAnchorSource: String.t() | nil,
    listDescriptionItemsSize: integer() | nil,
    matchedListDescriptionAnchorsRatio: number() | nil,
    matchedListDescriptionAnchorsSize: integer() | nil,
    postFilteringListDescriptionItemsSize: integer() | nil,
    pretriggerScoreStats:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchMetricStats.t()
      | nil,
    spanTokenCountRatioStats:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchMetricStats.t()
      | nil,
    spanTokenCountStats:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchMetricStats.t()
      | nil
  }

Functions

Link to this function

decode(value, options)

@spec decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.