Abstract: A data presentation system for a search engine may use classified or tagged elements in a resulting document to create a search result document that has portions redacted, modified, or changed based on the tags or classifications of elements within the document. The document may be rebuilt from the search engine database at presentation time with one or more elements changed or modified. The permission settings for a user or other factors may be used to determine which elements within the document are permitted to be accessed.

Abstract: A data collector may monitor a data source and identify updated data, which may be processed and prepared for inclusion into a search database. The data collector may have various handlers that may interact with a data source, which may be a database, web service, file system, collaboration system, or other source, and may store a identifying signature and content signature for each document or item. The signatures may be used to identify new, changed, or deleted items, and a payload may be created containing the updates.

Abstract: A document classifier may analyze documents for a search engine and tag the documents. A document classifier system may have several different classifiers, each with a separate algorithm for classification. Some of the data classifiers may learn or change the classification over time with a feedback loop. As those classifiers are modified, updated, replaced, or added, the documents that have already been classified by the classifier may be re-examined to update their classification. The document classifier system may maintain a database of documents with a timestamp that the document was classified that may be used to identify those documents whose classifications may be out of date.

Abstract: A data presentation system for a search engine may use classified or tagged elements in a resulting document to create a search result document that has portions redacted, modified, or changed based on the tags or classifications of elements within the document. The document may be rebuilt from the search engine database at presentation time with one or more elements changed or modified. The permission settings for a user or other factors may be used to determine which elements within the document are permitted to be accessed.

Abstract: A data presentation system for a search engine may use classified or tagged elements in a resulting document to create a search result document that has portions redacted, modified, or changed based on the tags or classifications of elements within the document. The document may be rebuilt from the search engine database at presentation time with one or more elements changed or modified. The permission settings for a user or other factors may be used to determine which elements within the document are permitted to be accessed.

Abstract: A search engine database may a segmented structure that preserves individual document references and allows updating as well as scalability. A set of segment managers may receive new, updated, or deleted documents and update a set of term matrices from which a published search matrix may be generated. The database may have a very large term dictionary and may use a hash function to create term identifiers without having to look up terms in the dictionary. The database may be maintained by many systems operating in parallel for high scalability.

Abstract: A document classifier may analyze documents for a search engine and tag the documents. A document classifier system may have several different classifiers, each with a separate algorithm for classification. Some of the data classifiers may learn or change the classification over time with a feedback loop. As those classifiers are modified, updated, replaced, or added, the documents that have already been classified by the classifier may be re-examined to update their classification. The document classifier system may maintain a database of documents with a timestamp that the document was classified that may be used to identify those documents whose classifications may be out of date.

Abstract: A document classifier may analyze documents for a search engine and tag the documents. A document classifier system may have several different classifiers, each with a separate algorithm for classification. Some of the data classifiers may learn or change the classification over time with a feedback loop. As those classifiers are modified, updated, replaced, or added, the documents that have already been classified by the classifier may be re-examined to update their classification. The document classifier system may maintain a database of documents with a timestamp that the document was classified that may be used to identify those documents whose classifications may be out of date.

Abstract: A document classifier may analyze documents for a search engine and tag the documents. A document classifier system may have several different classifiers, each with a separate algorithm for classification. Some of the data classifiers may learn or change the classification over time with a feedback loop. As those classifiers are modified, updated, replaced, or added, the documents that have already been classified by the classifier may be re-examined to update their classification. The document classifier system may maintain a database of documents with a timestamp that the document was classified that may be used to identify those documents whose classifications may be out of date.

Abstract: A data presentation system for a search engine may use classified or tagged elements in a resulting document to create a search result document that has portions redacted, modified, or changed based on the tags or classifications of elements within the document. The document may be rebuilt from the search engine database at presentation time with one or more elements changed or modified. The permission settings for a user or other factors may be used to determine which elements within the document are permitted to be accessed.

Abstract: A search engine database may a segmented structure that preserves individual document references and allows updating as well as scalability. A set of segment managers may receive new, updated, or deleted documents and update a set of term matrices from which a published search matrix may be generated. The database may have a very large term dictionary and may use a hash function to create term identifiers without having to look up terms in the dictionary. The database may be maintained by many systems operating in parallel for high scalability.

Abstract: A data collector may monitor a data source and identify updated data, which may be processed and prepared for inclusion into a search database. The data collector may have various handlers that may interact with a data source, which may be a database, web service, file system, collaboration system, or other source, and may store a identifying signature and content signature for each document or item. The signatures may be used to identify new, changed, or deleted items, and a payload may be created containing the updates.

Abstract: The invention provides a method, system and computer-readable medium for storing images with related information in a relational database and using the information to order available products for a selected image over a network. A unique identifier is generated for each image, allowing different types of searches of the relational database to be performed including product-based and image-based searches. A selection of a returned image causes a cut-down version of the image and all available products to be displayed on a page. If a product is selected, a server enables a transaction for a user to order the selected product. A HTTP Cookie may be employed to store a user identifier, allowing use of user profiles for customization of particular options and displayed products.

Abstract: The invention provides a method, system and computer-readable medium for storing images with related information in a relational database and using the information to order available products for a selected image over a network. A unique identifier is generated for each image, allowing different types of searches of the relational database to be performed including product-based and image-based searches. A selection of a returned image causes a cut-down version of the image and all available products to be displayed on a page. If a product is selected, a server enables a transaction for a user to order the selected product. A HTTP Cookie may be employed to store a user identifier, allowing use of user profiles for customization of particular options and displayed products.