Adaptive pairwise preferences in recommenders
View Patent ↗Methods, systems, and products adapt recommender systems with pairwise feedback. A pairwise question is posed to a user. A response is received that selects a preference for a pair of items in the pairwise question. A latent factor model is adapted to incorporate the response, and an item is recommended to the user based on the response.
1. A method, comprising:
sending a sequence of pairwise questions from a server to a client device, each pairwise question in the sequence of pairwise questions soliciting one content item from a pair of different content items;
receiving at the server successive responses from the client device to the sequence of pairwise questions, each successive response selecting a preference for the one content item in the pair of different content items in each pairwise question;
sending the successive responses as feedback to an adaptive latent factor model for recommending content to a user of the client device; and
receiving, after each successive response, a probability that the user will prefer another content item in another pair of different content items.
2. The method of claim 1 , further comprising generating a recommendation for content based on the successive responses.
3. The method of claim 1 , further comprising querying for one pairwise question in the sequence of pairwise questions.
4. The method of claim 1 , further comprising ending the sequence of pairwise questions.
5. The method of claim 1 , further comprising generating a user parameter for the user of the client device.
6. The method of claim 1 , further comprising predicting a difference in the preference for the pair of different content items.
7. The method of claim 1 , further comprising determining a change in entropy after each successive response.
8. A system, comprising:
a processor; and
memory storing code that when executed causes the processor to perform operations, the operations comprising:
sending a sequence of pairwise questions from a server to a client device, each pairwise question in the sequence of pairwise questions soliciting one content item from a pair of different content items;
receiving at the server successive responses from the client device to the sequence of pairwise questions, each successive response selecting a preference for the one content item in the pair of different content items in each pairwise question;
sending the successive responses as feedback to an adaptive latent factor model for recommending content to a user of the client device; and
receiving, after each successive response, a probability that the user will prefer another content item in another pair of different content items.
9. The system of claim 8 , wherein the operations further comprise generating a recommendation for content based on the successive responses.
10. The system of claim 8 , wherein the operations further comprise querying for one pairwise question in the sequence of pairwise questions.
11. The system of claim 8 , wherein the operations further comprise ending the sequence of pairwise questions.
12. The system of claim 8 , wherein the operations further comprise generating a user parameter for the user of the client device.
13. The system of claim 8 , wherein the operations further comprise predicting a difference in the preference for the pair of different content items.
14. The system of claim 8 , wherein the operations further comprise determining a change in entropy after each successive response.
15. A memory storing instructions that when executed cause a processor to perform operations, the operations comprising:
sending a sequence of pairwise questions from a server to a client device, each pairwise question in the sequence of pairwise questions soliciting one content item from a pair of different content items;
receiving at the server successive responses from the client device to the sequence of pairwise questions, each successive response selecting a preference for the one content item in the pair of different content items in each pairwise question;
sending the successive responses as feedback to an adaptive latent factor model for recommending content to a user of the client device; and
receiving, after each successive response, a probability that the user will prefer another content item in another pair of different content items.
16. The memory of claim 15 , wherein the operations further comprise generating a recommendation for content based on the successive responses.
17. The memory of claim 15 , wherein the operations further comprise querying for one pairwise question in the sequence of pairwise questions.
18. The memory of claim 15 , wherein the operations further comprise ending the sequence of pairwise questions.
19. The memory of claim 15 , wherein the operations further comprise generating a user parameter for the user of the client device.
20. The memory of claim 15 , wherein the operations further comprise predicting a difference in the preference for the pair of different content items.