Method and system for evaluating query suggestions quality
Methods, systems and programming for evaluating query suggestions quality. In one example, a plurality of query suggestions are provided in a ranking to a user. A user activity with respect to one of the plurality of query suggestions is detected. A position of the one of the plurality of query suggestions in the ranking is determined. A quality measure of the plurality of query suggestions is calculated based, at least in part, on the user activity and the position of the one of the plurality of query suggestions.
1. A method, implemented on at least one computing device each of which has at least one processor, storage, and a communication platform connected to a network for evaluating query suggestion quality, the method comprising the steps of:
providing a plurality of query suggestions in a ranking to a user;
detecting a selection of one of the plurality of query suggestions, wherein the selection causes modification of the position of the selected query suggestion in the ranking;
determining a position of the selected one of the plurality of query suggestions in the ranking; and
calculating a quality measure of the plurality of query suggestions based, at least in part, on the selection and the position of the selected one of the plurality of query suggestions,
wherein the plurality of query suggestions in the ranking are provided to a plurality of users; and
wherein the quality measure of the plurality of query suggestions is determined based on a total number of query suggestions in the plurality of query suggestions whose positions are modified in response to the selection.
2. The method of claim 1 , wherein the plurality of query suggestions include at least one entity.
3. The method of claim 1 , wherein the quality measure is determined based, at least in part, on bias information associated with the one of the plurality of query suggestions.
4. The method of claim 3 , wherein the bias information includes at least one of:
a length of a prefix of a query, where the plurality of query suggestions are provided based on the prefix of the query;
a presentation style of the query suggestion; and
a category in which the query suggestion belongs to.
5. The method of claim 1 , further comprising classifying each of the plurality of query suggestions based on the selection and the position of the selected one of the plurality of query suggestions.
6. A system having at least one processor storage, and a communication platform for evaluating query suggestion quality, the system comprising:
a search serving engine configured to provide a plurality of query suggestions in a ranking to a user;
a user activity detecting unit configured to detect a selection of one of the plurality of query suggestions, wherein the selection causes modification of the position of the selected query suggestion in the ranking;
a suggestion position determining unit configured to determine a position of the selected one of the plurality of query suggestions in the ranking; and
a scoring unit configured to calculate a quality measure of the plurality of query suggestions based, at least in part, on the selection and the position of the selected one of the plurality of query suggestions,
wherein the plurality of query suggestions in the ranking are provided to a plurality of users; and
wherein the quality measure of the plurality of query suggestions is determined based on a total number of query suggestions in the plurality of query suggestions whose positions are modified in response to the selection.
7. The system of claim 6 , wherein the plurality of query suggestions include at least one entity.
8. The system of claim 6 , wherein the quality measure is determined based, at least in part, on bias information associated with the one of the plurality of query suggestions.
9. The system of claim 8 , wherein the bias information includes at least one of:
a length of a prefix of a query, where the plurality of query suggestions are provided based on the prefix of the query;
a presentation style of the query suggestion; and
a category in which the query suggestion belongs to.
10. The system of claim 6 , further comprising a suggestion classifying unit configured to classify each of the plurality of query suggestions based on the selection and the position of the selected one of the plurality of query suggestions.
11. A non-transitory machine-readable medium having
information recorded thereon for evaluating query suggestion quality, wherein the information, when read by the machine, causes the machine to perform the following:
providing a plurality of query suggestions in a ranking to a user;
detecting a selection of one of the plurality of query suggestions, wherein the selection causes modification of the position of the selected query suggestion in the ranking;
determining a position of the selected one of the plurality of query suggestions in the ranking; and
calculating a quality measure of the plurality of query suggestions based, at least in part, on the selection and the position of the selected one of the plurality of query suggestions,
wherein the plurality of query suggestions in the ranking are provided to a plurality of users; and
wherein the quality measure of the plurality of query suggestions is determined based on a total number of query suggestions in the plurality of query suggestions whose positions are modified in response to the selection.
12. The medium of claim 11 , wherein the plurality of query suggestions include at least one entity.
13. The medium of claim 11 , wherein the quality measure is determined based, at least in part, on bias information associated with the one of the plurality of query suggestions.
14. The medium of claim 11 , further comprising classifying each of the plurality of query suggestions based on the selection and the position of the selected one of the plurality of query suggestions.