Methods and systems for generating query and result-based relevance indexes

• US 7,680,775 B2
• Filed: 12/13/2005
• Issued: 03/16/2010
• Est. Priority Date: 12/13/2005
• Status: Active Grant

• Current Assignee: IAC Search & Media Incorporated (Match Group, Inc.)
• Original Assignee: IAC Search & Media Incorporated (Match Group, Inc.)
• Inventors: Levin, Alan, Kurapati, Kaushal, Gerasoulis, Apostolos, Popescul, Alexandrin, Imielinski, Tomasz
• Primary Examiner(s): LEROUX, ETIENNE PIERRE
• Application Number:
  US11/300,711
• Publication Number:
  US 20070136234A1
• Time in Patent Office: 1,554 Days
• Field of Search: 707/1, 707/2, 707/3, 707/10, 707/104.1, 705/76, 709/224
• US Class Current: 1/1
• CPC Class Codes: G06F 16/2462 Approximate or statistical queries
• CPC Class Codes: G06F 16/3326 using relevance feedback from the user, e.g. relevance feedback on documents, documents sets, document terms or passages
• CPC Class Codes: G06F 16/3334 Selection or weighting of terms from queries, including natural language queries
• CPC Class Codes: Y10S 707/99933 Query processing, i.e. searching

Abstract

Methods and systems for generating query and result-based relevance indexes are provided. For one embodiment, a plurality of queries is received from a plurality of users. Each query of the plurality of queries is measured based on one or more metrics. The measured data of each query is stored. The queries are associated into topical query categories. A performance of a first query category is calculated based on at least one metric of the one or more metrics. A metric data request for a select category is received from a client. Lastly, the stored measured data of the selected category is transmitted to the client in response to the metric data request.

Claims

1. A computer-implemented method comprising:

receiving, at a search engine, a plurality of signals, wherein each signal includes a query from a user;

measuring, at the search engine, each query using one or more metrics, to determine measured data for each query;

associating, at the search engine, the measured data with the metric used to measure it;

storing the measured data of each query and the metric associated with it on a medium;

associating, at the search engine, each query with at least one topical query category of a plurality of topical query categories using the stored measured data and the metric associated with it;

providing, at the search engine, a client with a tool to select a topical query category from the plurality of topical query categories;

receiving from the client, at the search engine, a selection of a topical category;

providing, at the search engine, the client with a tool to select data associated with a metric of the one or more metrics, wherein the metric is associated with the selected topical category;

receiving from the client, at the search engine, a request for data associated with a selected metric of the one or more metrics; and

transmitting, by the search engine, the stored measured data associated with the selected metric to the client in response to the metric data request; and

compiling the requested metric data for the selected category into a 2-dimensional graph.

2. The method of claim 1, wherein the metric is a time metric.

3. The method of claim 2, further comprising compiling the requested time metric data for the selected category into a 2-dimensional graph, an x-axis of the graph indicating the time metric and a y-axis of the graph indicating a number of queries.

4. The method of claim 1, wherein the metric is a geographic source of a query.

5. The method of claim 4, further comprising a compiling of the requested geographic source metric data for the selected category into a 2-dimensional graph, an x-axis of the graph indicating the geographic source metric and a y-axis of the graph indicating a number of queries.

6. The method of claim 1, wherein the metric is a demographic variable of a user.

7. The method of claim 6, further comprising compiling the requested demographic variable metric data for the selected category into a 2-dimensional graph, an x-axis of the graph indicating the demographic variable metric and a y-axis of the graph indicating a number of queries.

8. The method of claim 1, further comprising:

calculating a performance of a query based on the at least one metric; and

comparing said calculation to the transmitted stored measured data.

9. The method of claim 1, further comprising:

calculating an overall performance of a plurality of queries based on the at least one metric; and

comparing said calculation to the transmitted stored measured data.

10. A computer-implemented method comprising:

receiving, at a search engine, a plurality of signals, wherein each signal includes a query from a user;

associating, at the search engine, each query with a topical query category;

providing to a user, at the search engine, a plurality of results for each query category to the user in response to a query;

measuring, at the search engine, user interaction with the plurality of results based on one or more metrics, to determine measured data for each result;

associating, at the search engine, the measured data with the metric used to measure it;

storing the measured data of each result and the metric associated with it on a medium;

providing, at the search engine, a client with a tool to select a result of the plurality of results;

receiving from the client, at the search engine, a selection of a result;

providing, at the search engine, the client with a tool to select metric data associated with the selected result;

receiving from the client, at the search engine, a request for metric data request associated with the selected result;

transmitting, by the search engine, the stored measured data of the selected result to the client in response to the metric data request; and

compiling the requested metric data for the selected category into a 2-dimensional graph.

11. The method of claim 10, wherein the metric is a time metric.

12. The method of claim 11, further comprising compiling the requested time metric data for the selected category into a 2-dimensional graph, an x-axis of the graph indicating the time metric and a y-axis of the graph indicating a number of queries.

13. The method of claim 10, wherein the metric is a geographic source of a user-selected result.

14. The method of claim 10, wherein the metric is a demographic variable.

15. The method of claim 10, further comprising:

calculating a performance of query based on the at least one metric; and

comparing said calculation to the transmitted stored measured data.

16. The method of claim 10, further comprising:

calculating an overall performance of a plurality of queries based on the at least one metric; and

comparing said calculation to the transmitted stored measured data.

17. A computer system comprising:

at least one processor;

at least one medium connected to the processor; and

a data set on the medium, the data set being at least readable by the processor and including;

measured data of a query and metric data;

a search engine, wherein the search engine is enabled to receive a plurality of signals, each signal including a query from a user, provide a client with a tool to select a topical query category from a plurality of topical query categories, receive from the client a selection of a topical category, provide the client with a tool to select data associated with a metric, receive a metric data request from the client, and transmit the stored measured data associated with the selected metric to the client in response to the metric data request; and

a module to measure each query using one or more metrics to determine measured data for each query and associate each query into a topical query category using the stored measured data; and

compiling the requested metric data for the selected category into a 2-dimensional graph.