Head-and-shoulders portrait of Jacqueline Wood against a black background.
Jacqueline Wood [AI]

Jacqueline Wood

Jacqueline Wood is a machine learning engineer at Spotify working on personalization and recommendation systems. Her work includes semantic item representations and language-model approaches to music and podcast discovery.

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    Video topic coverage

    Based on 1 reviewed video for Jacqueline Wood; compared with all 3074 public reviewed videos. Catalogue coverage, not expertise or speaking time.

    Unmapped topics: 0 for this person; 23 in all videos. Scores cover mapped topics only.

    • Jacqueline Wood (1 video; normalised to 100%)
    • All videos (3074; normalised to 90%)

    Both plots connect neighbouring topic values in the same ten-axis order, including zeros at the centre. The blue person plot is proportionally normalised to a 100% maximum and the white baseline to 90%. Each plot uses its own scale, showing relative topic emphasis; the values below show actual coverage.

    • Agents & workflows0%56%
    • Coding & tools0%39.1%
    • Models & learning100%36.7%
    • Infrastructure & compute0%21.4%
    • Research & evaluation100%38.3%
    • Safety & security0%28.5%
    • Business & productivity0%25.8%
    • Creative & media0%6.5%
    • Robotics & perception0%5.1%
    • Society & policy0%16.7%
    Topic attribution

    Both datasets use the same explicit fractional topic memberships. For each video, only the strongest membership in each group counts. We average those values across distinct public reviewed videos, including untagged videos. The all-video baseline includes this person's videos. Both datasets come from the same active catalogue snapshot and are independent of filters and viewing history. Groups overlap, so percentages do not need to total 100. Weights describe topic membership, not measured speaking time or relationship confidence.

    Topics associated with this person:

    Videos with Jacqueline Wood

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    Jacqueline Wood is a machine learning engineer at Spotify working on personalization and recommendation systems. Her work includes semantic item representations and language-model approaches to music and podcast discovery.

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