Inferred identity
View Patent ↗Techniques for modifying search results associated with a search request based on a determination that a member profile attribute is inaccurate are described. According to various embodiments, an existing member profile attribute included in a member profile page of a particular member of an online social network service is identified. Member profile data and behavioral log data associated with a plurality of members of the online social network service is then accessed. Prediction modeling to verify the existing member profile attribute is performed using the accessed data. Additionally, a confidence score associated with the existing member profile attribute is generated based on the prediction modeling. Moreover, the existing member profile attribute is determined to be inaccurate based on the generated confidence score. Furthermore, the search results associated with a search request is modified based on the determination.
1. A method comprising:
identifying an existing member profile attribute included in a member profile page of a particular member of an online social network service;
accessing member profile data associated with a plurality of members of the online social network service;
accessing behavioral log data associated with the members, the behavioral log data indicating interactions by the members with one or more products of the online social network service;
performing prediction modeling to verify the existing member profile attribute, using one or more processors, based on a prediction model and feature data including the member profile data and the behavioral log data, to generate a confidence score associated with the existing member profile attribute;
determining that the existing member profile attribute is inaccurate based on the generated confidence score;
receiving a search request for members having a member profile attribute corresponding to the existing member profile attribute; and
modifying search results associated with the search request to exclude the particular member based on the determination.
2. The method of claim 1 , wherein the existing member profile attribute corresponds to a geographic location.
3. The method of claim 1 , wherein the existing member profile attribute corresponds to an educational attribute.
4. The method of claim 1 , wherein the existing member profile attribute corresponds to an employer attribute.
5. The method of claim 1 , wherein the existing member profile attribute corresponds to a title.
6. The method of claim 1 , wherein the existing member profile attribute corresponds to a skill.
7. The method of claim 1 , wherein the prediction model is a logistic regression model.
8. The method of claim 1 , wherein the prediction model is a gradient-boosted machine (GBM) model.
9. The method of claim 1 , wherein the prediction model is a Naïve Bayes model.
10. The method of claim 1 , wherein the prediction model is a support vector machine (SVM) model.
11. The method of claim 1 , wherein the prediction model is a decision tree model.
12. The method of claim 1 , wherein the prediction model is a neural network model.