Systems and methods for predictive responses to internet object queries
View Patent ↗A computer-implemented method for predictive responses to internet object queries may include receiving a query from a client to evaluate a first internet object. The computer-implemented method may also include analyzing the query to predict a set of additional internet objects for which the client may subsequently request an evaluation. The computer-implemented method may further include transmitting an evaluation of the first internet object and of each additional internet object in the set of additional internet objects to the client. Various other methods, systems, and computer-readable media are also disclosed.
1. A computer-implemented method for predictive responses to internet object queries, at least a portion of the method being performed by a computing device comprising at least one processor, the method comprising:
receiving a query from a client to evaluate a first internet object, wherein the first internet object comprises an e-mail message and receiving the query to evaluate the first internet object comprises receiving a query to evaluate whether the first internet object constitutes spam;
analyzing the query to predict a set of additional internet objects for which the client may subsequently request an evaluation by predicting a set of additional spam e-mail messages for which the client may subsequently request an evaluation by determining that the client is on a spam mailing list and that the set of additional spam e-mail messages may be bound for the client because the client is on the spam mailing list;
transmitting an evaluation of the first internet object and of each additional internet object in the set of additional internet objects to the client.
2. The computer-implemented method of claim 1 , wherein receiving the query from the client to evaluate the first internet object comprises receiving a query from the client for a security risk assessment of the first internet object.
3. The computer-implemented method of claim 1 , wherein the set of additional internet objects for which the client may subsequently request an evaluation are predicted before the client requests an evaluation for any object in the set of additional internet objects.
4. The computer-implemented method of claim 1 , wherein:
the first internet object comprises a uniform resource locator;
the query requests an evaluation of whether the uniform resource locator is at least one of malicious or inappropriate.
5. The computer-implemented method of claim 1 , wherein receiving the query from the client to evaluate the first internet object comprises receiving at least one of:
a unique identifier corresponding to the client;
a location of the client;
an identification of an agent used by the client to send the query;
a timestamp relating to the first internet object.
6. The computer-implemented method of claim 1 , wherein analyzing the query to predict the set of additional internet objects comprises:
identifying a set of queries from a plurality of clients to evaluate internet objects;
performing a statistical analysis on the set of queries;
applying the query to the statistical analysis to identify the set of additional internet objects.
7. The computer-implemented method of claim 6 , wherein performing the statistical analysis on the set of queries comprises at least one of:
performing a frequency analysis;
constructing a Markov chain.
8. The computer-implemented method of claim 6 , wherein performing the statistical analysis on the set of queries comprises performing a statistical analysis on queries in the set of queries originating from the same region as the query from the client.
9. A system for predictive responses to internet object queries, the system comprising:
a receiving module programmed to receive a query from a client to evaluate a first internet object, wherein the first internet object comprises an e-mail message and receiving the query to evaluate the first internet object comprises receiving a query to evaluate whether the first internet object constitutes spam;
an analysis module programmed to analyze the query to predict a set of additional internet objects for which the client may subsequently request an evaluation by predicting a set of additional spam e-mail messages for which the client may subsequently request an evaluation by determining that the client is on a spam mailing list and that the set of additional spam e-mail messages may be bound for the client because the client is on the spam mailing list;
a transmission module programmed to transmit an evaluation of the first internet object and of each additional internet object in the set of additional internet objects to the client;
at least one processor configured to execute the receiving module, the analysis module, and the transmission module.
10. The system of claim 9 , wherein the receiving module is programmed to receive the query from the client to evaluate the first internet object by receiving a query from the client for a security risk assessment of the first internet object.
11. The system of claim 9 , wherein the set of additional internet objects for which the client may subsequently request an evaluation are predicted before the client requests an evaluation for any object in the set of additional internet objects.
12. The system of claim 9 , wherein:
the first internet object comprises a uniform resource locator;
the query requests an evaluation of whether the uniform resource locator is at least one of malicious or inappropriate.
13. The system of claim 9 , wherein the receiving module is programmed to receive the query from the client to evaluate the first internet object at least in part by receiving at least one of:
a unique identifier corresponding to the client;
a location of the client;
an identification of an agent used by the client to send the query;
a timestamp relating to the first internet object.
14. The system of claim 9 , wherein the analysis module is programmed to analyze the query to predict the set of additional internet objects at least in part by:
identifying a set of queries from a plurality of clients to evaluate internet objects;
performing a statistical analysis on the set of queries;
applying the query to the statistical analysis to identify the set of additional internet objects.
15. The system of claim 14 , wherein
the analysis module is programmed to perform the statistical analysis on the set of queries in part by at least one of:
performing a frequency analysis;
constructing a Markov chain.
16. A non-transitory computer-readable-storage medium comprising one or more computer-executable instructions that, when executed by at least one processor of a computing device, cause the computing device to:
receive a query from a client to evaluate a first internet object, wherein the first internet object comprises an e-mail message and receiving the query to evaluate the first internet object comprises receiving a query to evaluate whether the first internet object constitutes spam;
analyze the query by predicting a set of additional spam e-mail messages for which the client may subsequently request an evaluation by determining that the client is on a spam mailing list and that the set of additional spam e-mail messages may be bound for the client because the client is on the spam mailing list;
based on the analysis of the query, predict a set of additional internet objects for which the client may subsequently request an evaluation instead of waiting for the client to request evaluations for one or more objects in the set of additional internet objects;
transmit an evaluation of the first internet object and of each additional internet object in the set of additional internet objects to the client.