USER INTEREST MODELING
Techniques for providing user interest modeling are disclosed. In some embodiments, a system/process/computer program product for providing user interest modeling includes determining a plurality of interests associated with a user account and generated a content feed for a user that includes one or more web documents based on the plurality of interests.
1 . A system, comprising:
a processor configured to:
determine a plurality of interests associated with a user account; and
generate a content feed for a user that includes one or more web documents based on the plurality of interests; and
a memory coupled with the processor, wherein the memory is configured to provide the processor with instructions.
2 . The system of claim 1 , wherein the content feed can be adjusted based on user engagement with the content feed.
3 . The system of claim 1 , wherein a web document source preference can be determined based on user engagement with the content feed.
4 . The system of claim 1 , wherein the processor is configured to include one or more web documents in the content feed based on web document similarity.
5 . The system of claim 1 , wherein the processor is configured to include one or more web documents in the content feed based on link similarity.
6 . The system of claim 1 , wherein the one or more web documents have an associated confidence score above a confidence threshold.
7 . The system of claim 6 , wherein the associated confidence score is determined based on one or more interest indicators applied to a machine learning model.
8 . The system of claim 7 , wherein the one or more interest indicators include a term-frequency-inverse document frequency value of web documents associated with the user.
9 . The system of claim 7 , wherein the one or more interest indicators include metadata or meta keywords associated with a web document.
10 . The system of claim 7 , wherein at least one of the one or more interest indicators is adjustable based on user engagement with the content feed.
11 . A method, comprising:
determining a plurality of interests associated with a user account; and
generating a content feed for a user that includes one or more web documents based on the plurality of interests.
12 . The method of claim 11 , wherein the one or more web documents have an associated confidence score above a confidence threshold.
13 . The method of claim 11 , wherein the content feed can be adjusted based on user engagement with the content feed.
14 . The method of claim 11 , wherein a web document source preference can be determined based on user engagement with the content feed.
15 . The method of claim 11 , wherein the confidence score is determined based on one or more interest indicators applied to a machine learning model.
16 . The method of claim 15 , wherein the one or more interest indicators include a term-frequency-inverse document frequency value of web documents associated with the user.
17 . The method of claim 15 , wherein the one or more interest indicators include metadata or meta keywords associated with a web document.
18 . A computer program product, the computer program product being embodied in a tangible non-transitory computer readable storage medium and comprising computer instructions for:
determining a plurality of interests associated with a user account; and
generating a content feed for a user that includes one or more web documents based on the plurality of interests.
19 . The computer program product of claim 18 , wherein the one or more web documents have an associated confidence score above a confidence threshold.
20 . The computer program product of claim 19 , wherein the associated confidence score is determined based on one or more interest indicators applied to a machine learning model.