CONTEXT-AWARE MOBILE SEARCH BASED ON USER ACTIVITIES

• US 20120269116A1
• Filed: 04/25/2011
• Published: 10/25/2012
• Est. Priority Date: 04/25/2011
• Status: Abandoned Application

• Current Assignee: Telefonaktiebolaget LM Ericsson
• Original Assignee: Telefonaktiebolaget LM Ericsson
• Inventors: Xing, Bo, Svensson, Martin
• Application Number:
  US13/093,355
• Publication Number:
  US 20120269116A1
• Time in Patent Office: Days
• US Class Current: 370/328
• CPC Class Codes: G06F 16/3322 using system suggestions G06F16/3325 takes precedence
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

Search processes are improved by modeling a mobile device user'"'"'s context for a particular mobile search activity. Activity data characterizing usage of the mobile communications device is collected. This data may include the user'"'"'s usage of the music and video player, including the types of media and specific titles, as well as activity data related to phone calls and other communications activities. The activity information is used by a predictive model to predict search parameters based on recent activity data. The predictive model can provide suggested search parameters, based on the user'"'"'s recent activity as well as on search-specific user input. In some cases, the predictive model may be used to re-order the search results returned from a conventional search engine, based on the collected activity data.

Claims

1. A method for searching databases using a mobile communications device, the method comprising:

collecting activity data characterizing the usage of each of a plurality of user features on the mobile communications device;

detecting the initiation of a database search by a user of the mobile communications device;

responsive to said detecting, predicting one or more search parameters, based on recent activity data for user activities concurrent with or proximately preceding said detecting;

presenting at least one of the one or more search parameters to the user of the mobile communications device; and

responsive to user confirmation, submitting a search query to a search engine remote from the mobile communications device, wherein said search query comprises at least one of the one or more search parameters.

2. The method of claim 1, wherein said predicting of one or more search parameters comprises providing one or more sets of suggested search parameters, based on the recent activity data, prior to receiving search-specific user input.

3. The method of claim 1, wherein said predicting of one or more search parameters comprises providing one or more suggested search parameters based on the recent activity data and based on search-specific user input.

4. The method of claim 3, wherein at least one of the suggested search parameters is a suggested completion for a partially entered keyword or a suggested correction for an at least partially entered keyword.

5. The method of claim 1, wherein predicting one or more search parameters comprises predicting a probable search activity based on the recent activity data and based on a predictive model generated from the collected activity data.

6. The method of claim 5, wherein the predictive model comprises a variable-order Markov model.

7. The method of claim 1, further comprising:

receiving a plurality of ordered search results in response to the search query; and

re-ordering the plurality of search results using a predictive model generated from the collected activity data.

8. The method of claim 1, performed by the mobile communications device and further comprising forwarding the collected activity data to a remote node for generation of a predictive model.

9. The method of claim 1, further comprising:

determining a group of users that includes the user of the mobile communication device; and

collecting additional activity data characterizing activities of the group of users;

wherein said predicting one or more search parameters is based further on the additional activity data.

10. The method of claim 9, wherein the group of users is determined from an Internet-based social network for the user of the mobile communication device.

11. A method for searching databases using a mobile communications device, the method comprising:

collecting activity data characterizing the usage of a plurality of user features on the mobile communications device;

generating a search query, based on data input by a user of the mobile communications device;

submitting a search query to a search engine remote from the mobile communications device, said search query comprising one or more search parameters;

receiving a plurality of search results in response to the search query, wherein the search results are ranked by relevance to the search parameters; and

re-ranking the search results, based on collected activity data for user activities concurrent with or proximately preceding said re-ranking.

12. A mobile communication device, comprising:

a communications transceiver;

a user interface; and

a processing circuit operatively coupled to the user interface and the communications transceiver and configured to;

collect activity data characterizing the usage of each of a plurality of user features on the mobile communications device;

detect the initiation of a database search by a user of the mobile communications device, via the user interface;

responsive to said detection, predict one or more search parameters, based on recent activity data for user activities concurrent with or proximately preceding said detection;

present at least one of the one or more search parameters to the user of the mobile communications device; and

responsive to user confirmation, submit a search query to a search engine remote from the mobile communications device, via the communications transceiver, wherein said search query comprises at least one of the one or more search parameters.

13. The mobile communication device of claim 12, wherein the processing circuit is configured to predict the one or more search parameters by providing one or more sets of suggested search parameters, based on the recent activity data, prior to receiving search-specific user input via the user interface.

14. The mobile communication device of claim 12, wherein the processing circuit is configured to predict the one or more search parameters by providing one or more suggested search parameters based on the recent activity data and based on search-specific user input.

15. The mobile communication device of claim 14, wherein at least one of the suggested search parameters is a suggested completion for a partially entered keyword or a suggested correction for an at least partially entered keyword.

16. The mobile communication device of claim 12, wherein the processing circuit is configured to predict the one or more search parameters by predicting a probable search activity based on the recent activity data and based on a variable-order Markov model generated from the collected activity data.

17. The mobile communication device of claim 12, wherein the processing circuit is further configured to:

receive a plurality of ordered search results in response to the search query; and

re-order the plurality of search results using a predictive model generated from the collected activity data.

18. A mobile communication device, comprising:

a communications transceiver;

a user interface; and

a processing circuit operatively coupled to the user interface and the communications transceiver and configured to;

collect activity data characterizing the usage of each of a plurality of user features on the mobile communications device;

forward the collected activity data to a remote node, via the communications transceiver, for generation of a predictive model;

collect partial search data from a user of the mobile communications device, via the user interface;

forward the partial search data to the remote node, via the communications transceiver;

receive one or more suggested search parameters from the remote node, via the communications transceiver, in response to the partial search data; and

responsive to user selection, submit a search query to a search engine remote from the mobile communications device, via the communications transceiver, wherein said search query comprises at least one of the one or more search parameters.

19. A network-connected processing node, comprising:

a network communications interface circuit; and

a processing circuit operatively coupled to the network communications interface circuit and configured to;

receive activity data characterizing the usage of each of a plurality of user features on a mobile communications device;

detect the initiation of a database search by a user of the mobile communications device;

responsive to said detecting, predict one or more search parameters, based on recent activity data for user activities concurrent with or proximately preceding said detection; and

send the one or more search parameters to mobile communications device.

20. The network-connected processing node of claim 19, wherein the processing circuit is configured to predict the one or more search parameters by providing one or more sets of suggested search parameters, based on the recent activity data, prior to receiving search-specific user input.

21. The network-connected processing node of claim 19, wherein the processing circuit is configured to predict the one or more search parameters by providing providing one or more suggested search parameters based on the recent activity data and based on search-specific user input.

22. The network-connected processing node of claim 21, wherein at least one of the suggested search parameters is a suggested completion for a partially entered keyword or a suggested correction for an at least partially entered keyword.

23. The network-connected processing node of claim 19, wherein the processing circuit is configured to predict the one or more search parameters by predicting a probable search activity based on the recent activity data and based on a variable-order Markov model generated from the collected activity data.

24. The network-connected processing node of claim 19, wherein the processing circuit is further configured to:

receive a plurality of ordered search results in response to a search query submitted by or for the mobile communications device; and

re-order the plurality of search results using a predictive model generated from the collected activity data.

25. The network-connected processing node of claim 19, wherein the processing circuit is further configured to:

determine a group of users that includes the user of the mobile communication device;

collect additional activity data characterizing activities of the group of users; and

predict said one or more search parameters based further on the additional activity data.

26. The network-connected processing node of claim 19, wherein the processing circuit is further configured to determine the group of users from an Internet-based social network for the user of the mobile communication device.