Method and system for adapting search results to personal information needs
First Claim
1. A method in a computer system for calculating importance of a document, the method comprising:
- providing user, query, and document triplets indicating that the user submitted the query and that the user selected the document from a result of the query;
receiving an input user, an input query, and an input document as an input triplet, the input query having been submitted by the input user and the input document being a document of a search result for the input query; and
determining a probability that the user will find the input document important by performing a smoothing of the provided triplets to account for triplets not provided and calculating the probability based on the smoothing wherein the determined probability is based at least in part on the provided triplets for users other than the input user and wherein the probability is the probability of the input document given the input user and the input query when the corresponding user, query, and document triplet is provided and is the probability of the input document given the input query otherwise and wherein a back-off factor is applied to the probability.
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Accused Products
Abstract
A method and system for adapting search results of a query to the information needs of the user submitting the query is provided. A search system analyzes click-through triplets indicating that a user submitted a query and that the user selected a document from the results of the query. To overcome the large size and sparseness of the click-through data, the search system when presented with an input triplet comprising a user, a query, and a document determines a probability that the user will find the input document important by smoothing the click-through triplets. The search system then orders documents of the result based on the probability of their importance to the input user.
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Citations
16 Claims
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1. A method in a computer system for calculating importance of a document, the method comprising:
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providing user, query, and document triplets indicating that the user submitted the query and that the user selected the document from a result of the query; receiving an input user, an input query, and an input document as an input triplet, the input query having been submitted by the input user and the input document being a document of a search result for the input query; and determining a probability that the user will find the input document important by performing a smoothing of the provided triplets to account for triplets not provided and calculating the probability based on the smoothing wherein the determined probability is based at least in part on the provided triplets for users other than the input user and wherein the probability is the probability of the input document given the input user and the input query when the corresponding user, query, and document triplet is provided and is the probability of the input document given the input query otherwise and wherein a back-off factor is applied to the probability. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A computer-readable storage medium containing instructions for controlling a computer system to calculate relevance of a document to a user, by a method comprising:
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providing click-through data generated when users submitted queries to a search engine and selected a document from results provided by the search engine; identifying user, query, and document triplets from the click-through data, each triplet indicating that the user of the triplet submitted the query of the triplet and the user selected the document of the triplet from results of the query provided by the search engine; receiving from a user a query; searching for documents to be provided as results of the received query; for each document of the results of the received query, determining a probability that the user from whom the query was received will find the document relevant by performing a smoothing of the identified triplets to account for sparseness of the triplets and calculating the probability based on the smoothed triplets, wherein the determined probability is based at least in part on identified triplets identified for users other than the user from whom the query was received and wherein the probability is the probability of the document given the user and the query when the corresponding user, query, and document triplet is identified and is the probability of the document given the query otherwise and wherein a back-off factor is applied to the probability; and displaying an indication of the documents to the user from whom the query was received in an order based on the determined probabilities of the documents. - View Dependent Claims (8, 9, 10, 11, 12)
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13. A computer system for calculating relevance of a document, comprising:
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a click-through data store providing click-through data generated when users submitted queries to a search engine and selected a document from results provided by the search engine; a memory containing computer-executable instructions of a component that identifies user, query, and document triplets from the click-through data, each triplet indicating that the user of the triplet submitted the query of the triplet and the user selected the document of the triplet from results of the query provided by the search engine; a component that receives an input user, an input query, and input documents as an input triplet; and a component that determines a probability that the input user will find each input document relevant by performing a smoothing of the identified triplets to account for sparseness of the triplets and calculating the probability based on the smoothed triplets, wherein the determined probability is based at least in part on identified triplets identified for users other than the input user and wherein the probability is the probability of an input document given the input user and the input query when the corresponding user, query, and document triplet is identified and is the probability of the input document given the input query otherwise and wherein a back-off factor is applied to the probability; and a processor for executing the computer-executable instructions stored in the memory. - View Dependent Claims (14, 15, 16)
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Specification