Content item recommendations based on content attribute sequence
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United States of America Patent
Stats
-
Jan 23, 2018
Issued Date -
N/A
app pub date -
Apr 10, 2015
filing date -
Apr 10, 2015
priority date (Note) -
In Force
status (Latency Note)
Importance
Abstract
User created playlists can be analyzed to create a statistical language model indicating the likelihood that a particular sequence of content attributes will be found in a playlist created by a user, as well as the likelihood of any sequence of one or more content attributes following a playlist or partial playlist created by a user. The language model can be used to generate a recommended content attribute sequence based on a partial playlist of one or more content items. A recommended content item sequence that will be pleasant to a user when added to the partial playlist can be selected based on the recommended content attribute sequence.
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International Classification(s)
- 2015 Application Filing Year
- G06F Class
- 57200 Applications Filed
- 45873 Patents Issued To-Date
- 80.20 % Issued To-Date
Cited Art Landscape
Patent Citation Ranking
- 0 Citation Count
- G06F Class
- 0 % this patent is cited more than
- 7 Age
Maintenance Fees
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|---|---|---|---|---|
| 7.5 Year Payment | $3600.00 | $1800.00 | $900.00 | Jul 23, 2025 |
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