Automatic taxonomy generation in search results using phrases
First Claim
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1. A method of presenting documents in response to a search of a document collection, the method comprising:
- retrieving a plurality of documents in response to a query, the query comprising at least one query phrase;
determining related phrases that are related to the query phrase, wherein for each query phrase gj, gk is a related phrase of phrase gj where an information gain I of gk with respect to gj exceeds a predetermined threshold, the information gain I being a function of A(j,k) and E(j,k), where A(j,k) is a measure of an actual co-occurrence rate of gj and gk, and E(j,k) is an expected co-occurrence rate gj and gk;
determining a plurality of clusters, each cluster associated with one of the related phrases, and having a cluster name corresponding to the related phrase; and
for each cluster, presenting a number of documents containing the related phrase associated with the cluster, along with the cluster name.
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Abstract
An information retrieval system uses phrases to index, retrieve, organize and describe documents. Phrases are identified that predict the presence of other phrases in documents. Documents are the indexed according to their included phrases. Related phrases and phrase extensions are also identified. Phrases in a query are identified and used to retrieve and rank documents. Phrases are also used to cluster documents in the search results, create document descriptions, and eliminate duplicate documents from the search results, and from the index.
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Citations
17 Claims
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1. A method of presenting documents in response to a search of a document collection, the method comprising:
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retrieving a plurality of documents in response to a query, the query comprising at least one query phrase; determining related phrases that are related to the query phrase, wherein for each query phrase gj, gk is a related phrase of phrase gj where an information gain I of gk with respect to gj exceeds a predetermined threshold, the information gain I being a function of A(j,k) and E(j,k), where A(j,k) is a measure of an actual co-occurrence rate of gj and gk, and E(j,k) is an expected co-occurrence rate gj and gk; determining a plurality of clusters, each cluster associated with one of the related phrases, and having a cluster name corresponding to the related phrase; and for each cluster, presenting a number of documents containing the related phrase associated with the cluster, along with the cluster name. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A computer readable storage medium storing a computer program executable by a processor for presenting documents in response to a search of a document collection, by performing the operations comprising:
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retrieving a plurality of documents in response to a query, the query comprising at least one query phrase; determining related phrases that are related to the query phrase, wherein for each query phrase gj, gk is a related phrase of phrase gj where an information gain I of gk with respect to gj exceeds a predetermined threshold, the information gain I being a function of A(j,k) and E(j,k), where A(j,k) is a measure of an actual co-occurrence rate of gj and gk, and E(j,k) is an expected co-occurrence rate gj and gk; determining a plurality of clusters, each cluster associated with one of the related phrases, and having a cluster name corresponding to the related phrase; and for each cluster, presenting a number of documents containing the related phrase associated with the cluster, along with the cluster name. - View Dependent Claims (9, 10)
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11. A computer implemented system for presenting documents in response to a search of a document collection, comprising:
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an index stored in a storage medium and comprising related phrase information; and a query processing system executed by a computer and adapted to; retrieve a plurality of documents in response to a query, the query comprising at least one query phrase, determine, using the related phrase information, related phrases that are related to the query phrase, wherein for each query phrase gj, gk is a related phrase of phrase gj where an information gain I of gk with respect to gj exceeds a predetermined threshold, the information gain I being a function of A(j,k) and E(j,k), where A(j,k) is a measure of an actual co-occurrence rate of gj and gk, and E(j,k) is an expected co-occurrence rate gj and gk, determine a plurality of clusters, each cluster associated with one of the related phrases, and having a cluster name corresponding to the related phrase, and for each cluster, present a number of documents containing the related phrase associated with the cluster, along with the cluster name. - View Dependent Claims (12, 13)
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14. A method of presenting documents in response to a search of a document collection, the method comprising:
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retrieving a plurality of documents in response to a query, the query comprising at least one query phrase; determining related phrases that are related to the query phrase; determining a plurality of clusters, each cluster associated with one of the related phrases, and having a cluster name corresponding to the related phrase; for each cluster, determining a number of documents containing the related phrase associated with the cluster, comprising; for each document in the document collection; accessing a related phrase bit vector of the query phrase, the related phrase bit vector having an ordered set of bits, each bit indicating whether a corresponding phrase is present in the document, and incrementing a count of the number of documents containing the related phrase if and only if a bit is set in the related phrase bit vector at a location corresponding to the related phrase; ordering the clusters in declining order of the number of documents in each cluster; and for each cluster, presenting a number of documents containing the related phrase associated with the cluster, along with the cluster name.
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15. A method of presenting documents in response to a search of a document collection, the method comprising:
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retrieving a plurality of documents in response to a query, the query comprising at least one query phrase, the retrieving comprising; identifying an incomplete phrase in the query; replacing the incomplete phrase with a phrase extension, wherein the phrase extension of the incomplete phrase is a super-sequence of the incomplete phrase that begins with the incomplete phrase, and wherein the incomplete phrase predicts the phrase extension based on a measure of an actual co-occurrence rate of the phrase extension and the incomplete phrase exceeding an expected co-occurrence rate of the phrase extension and the incomplete phrase in the document collection, the expected co-occurrence rate of the phrase extension and the incomplete phrase being a function of a plurality of occurrences of the phrase extension and the incomplete phrase in the document collection, and selecting documents from the document collection containing the phrase extension; determining related phrases that are related to the query phrase; determining a plurality of clusters, each cluster associated with one of the related phrases, and having a cluster name corresponding to the related phrase; and for each cluster, presenting a number of documents containing the related phrase associated with the cluster, along with the cluster name.
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16. A computer readable storage medium storing a computer program executable by a processor for presenting documents in response to a search of a document collection, the operations of the computer program comprising:
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retrieving a plurality of documents in response to a query, the query comprising at least one query phrase, the retrieving comprising; identifying an incomplete phrase in the query; replacing the incomplete phrase with a phrase extension, wherein the phrase extension of the incomplete phrase is a super-sequence of the incomplete phrase that begins with the incomplete phrase, and wherein the incomplete phrase predicts the phrase extension based on a measure of an actual co-occurrence rate of the phrase extension and the incomplete phrase exceeding an expected co-occurrence rate of the phrase extension and the incomplete phrase in the document collection, the expected co-occurrence rate of the phrase extension and the incomplete phrase being a function of a plurality of occurrences of the phrase extension and the incomplete phrase in the document collection, and selecting documents from the document collection containing the phrase extension; determining related phrases that are related to the query phrase; determining a plurality of clusters, each cluster associated with one of the related phrases, and having a cluster name corresponding to the related phrase; and for each cluster, presenting a number of documents containing the related phrase associated with the cluster, along with the cluster name.
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17. A computer implemented system for presenting documents in response to a search of a document collection, comprising:
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an index stored in a storage medium and comprising related phrase information; and a query processing system executed by a computer and adapted to; retrieve a plurality of documents in response to a query, the query comprising at least one query phrase, the retrieving comprising; identifying an incomplete phrase in the query, replacing the incomplete phrase with a phrase extension, wherein the phrase extension of the incomplete phrase is a super-sequence of the incomplete phrase that begins with the incomplete phrase, and wherein the incomplete phrase predicts the phrase extension based on a measure of an actual co-occurrence rate of the phrase extension and the incomplete phrase exceeding an expected co-occurrence rate of the phrase extension and the incomplete phrase in the document collection, the expected co-occurrence rate of the phrase extension and the incomplete phrase being a function of a plurality of occurrences of the phrase extension and the incomplete phrase in the document collection, and selecting documents from the document collection containing the phrase extension; determine, using the related phrase information, related phrases that are related to the query phrase; determine a plurality of clusters, each cluster associated with one of the related phrases, and having a cluster name corresponding to the related phrase; and for each cluster, present a number of documents containing the related phrase associated with the cluster, along with the cluster name.
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Specification