133 results about "Search engine indexing" patented technology

Disclosed is a technique for providing, accessing, and using bookmark data to supplement information in a search engine database. The bookmark data indicates saved user selected network addresses, e.g., URLs, that are capable of being selected to access observable data, e.g., a page of text, images, sound file, movie file, etc., at the selected network address. A user computer receives user modifications to bookmark data and transmits the modifications to the bookmark data to a server over a network. A server gathers bookmark data indicating saved user selected network addresses that the user is capable of selecting to access observable data at the selected network address. A search engine server receives bookmark data gathered from multiple Internet users and determines an importance rating for at least one network address from the received bookmark data. The determined importance rating is included in the search engine index. Further, when executing a search query against the index to determine at least one search result, the search engine server presents the search results ordered according to their importance rating.

A method and apparatus for using network traffic logs for search enhancement is disclosed. According to one embodiment, network usage is tracked by generating log files. These log files among other things indicate the frequency web pages are referenced and modified. These log files or information from these log files can then be used to improve document ranking, improve web crawling, determine tiers in a multi-tiered index, determine where to insert a document in a multi-tiered index, determine link weights, and update a search engine index.

This invention relates to providing a system for improved web page generation and display. More particularly this invention relates to providing a system for dynamically creating web pages on demand, which are can be indexed by Internet-based search engine indexing programs, from contents stored in one or more databases. Further, index rankings created from the dynamically created pages are optimized using random, but contextually appropriate text replacement, within the web page URL link references and web-page content, and source code ordering.

A system and method are provided for implementing a geographic search mode in connection with a search engine. The method may include indexing geographic locations for resources available to the search engine in a search engine index. The method may additionally include determining a target location for a particular user upon receiving a user query from the particular user and searching the search engine index for geographic location matches matching the target location.

Techniques and systems for indexing and retrieving data and documents stored in a record-based database management system (RDBMS) utilize a search engine interface. Search-engine indices are created from tables in the RDBMS and data from the tables is used to create “documents” for each record. Queries that require data from multiple tables may be parsed into a primary query and a set of one or more secondary queries. Join mappings and documents are created for the necessary tables. Documents matching the query string are retrieved using the search-engine indices and join mappings.

A system for improved web page generation and display, relating to providing a system for dynamically creating web pages on demand which can be indexed by Internet-based search engine indexing programs from contents stored in one or more databases. Further, index rankings created from the dynamically created pages are optimized using random, but contextually appropriate text replacement, within the web page URL link references and web-page content, and source code ordering.

The present invention provides for quick and efficient searching. One embodiment includes a first instruction configured to read at least a first search string and a second search string entered into a same first search field, and a second instruction configured to incrementally filter search results to locate at least a first document that has a least a first word that begins with the first string and a second word that begins with the second string.

A computerized method is used to estimate the relative coverage of Web search engines. Each search engine maintains an index of words of pages located at specific URL addresses in a network. The method generates a random query. The random query is a logical combination of words found in a subset of the pages. The random query is submitted to a first search engine. In response a set of URLs of pages matching the query are received. Each URL identifies a page indexed by the first search engine that satisfies the random query. A particular URL identifying a sample page is randomly selected. A strong query corresponding to the sample page is generated, and the strong query is submitted to a second search engine. Result information received in response to the strong query is compared to determine if the second search engine has indexed the sample page, or a page substantially similar to the sample page. This procedure is repeated to gather statistical data which is used to estimate the relative sizes and amount of overlap of search engines.

Systems and methods enable federation of search results. An identification of a first data source associated with a first schema is received by the system, the first data source comprising data of a first type. An identification of a second data source associated with a second schema is received, the second data source comprising data of a second type, the second type different than the first type. An identification of a plurality of fields for a results set user interface, a mapping of the data of the first type to a first field of the results set user interface, and a mapping of the data of the second type to the first field of the results set user interface, are accessed. Data of the first type and data of the second type are merged and provided for display in the first field on a user terminal.

Various methods and systems for updating a search engine index based on a file change log are disclosed. One method involves accessing a file, which stores a file change log maintained by a file system. The file change log identifies one or more recently modified files. The method also involves updating an index, based on a recently-modified file identified in the file change log. The index is used to search files maintained by the file system. An application external to the file system accesses the file storing the file change log and updates the index.

A system and method are provided for implementing a search engine to produce search results grouped by attribute. The system may include an attribute indexing component for indexing available resources with reference to selected attributes in a search engine index. The system may additionally include a grouping component for grouping search results produced by the search engine into at least two attribute groups in accordance with the indexed selected attributes. The system may further include an attribute display component for displaying information pertaining to the selected attributes within each relevant available resource.

Search queries to a search engine are collected over a period of time and used as a source of terms for selectively adding to documents. The terms may be added as meta-tags for enhancing information retrieval. Also, candidate terms may be submitted to the search engine and the most relevant documents retrieved. These documents, or portions thereof, are reviewed to determine if the content is substantially related to the term. If it is, the term is added to the document as a meta-tag and the search engine index is updated to reflect the addition. Employing this invention, search engine results will adapt to changes in usage of search terms.

A method and system provides a search interface that permits a user to interrogate a structured database, and includes retrieving database entries from one or more databases, flattening a plurality of database entries, indexing the plurality of flattened database entries to form a search engine index, and prompting the user to enter an input. The system continuously monitors the user input and each time an input is entered by the user, the system computes a set of non-null partial queries in response to the input entered by the user, associates a structured item to each non-null partial query, and allows the user to select one of the structured items. If the user selects one of the structured items, the system replaces the user input by the non-null partial query associated to the selected structured item. When the user validates the input, the system executes the input as a query. Finally, the system provides documents to the user corresponding to the executed query.

A system and method to optimize one or more website's organic listing at one or more search engine engines is described. Several embodiments include methods and systems for building and applying customizable website search engine optimization best practice rules, thereby modifying data associated with one or more websites to achieve a desired result. The desired result, which is augmented/compounded by the greater number of websites using the system and method, is an improvement of the organic ranking of the website(s) with respect to one or more search engines.

Methods for using task-related information to enhance digital searching are provided. A task-oriented user activity system maintains task-related information about resources accessed by a user and current user task. This task-related information is used to include task-related metadata in search engine index, e.g., by storing the metadata in the index or by storing it in resources which are subsequently indexed. Task-related information can also be used to enhance search results by filtering and ranking results to increase relevance with respect to a user's current task and/or to enhance search queries to include task-related search criteria.

The invention discloses a design technology for an object-level personalized vertical search engine. The basic idea of an algorithm is that: related web pages on the Internet are acquired by an adaptive vertical crawler technology, data is subjected to a series of objectification processing such as semantic analysis, extraction, integration and the like, objectified information on the Internet is acquired, and a personalized object ordering result is returned to each user in a search engine mode. The original page data is highly purified and organized by the search engine designed by the technology through a data mining technology, so that the quality of the data is ensured, and the inclusion of illegal information is controlled to the greatest extent. In addition, by a personalized search recommendation technology, the consumption preference of each user can be accurately determined, and the query intention of each user is understood. The object-level personalized vertical semantic search engine is subjected to integrated innovation on the basis of fully learning and absorbing the advantages of semantic search, object-level search and personalized search technologies, and completely accords with the development direction of a next-generation search engine.

An integrated circuit chip includes a search engine including a content addressable memory (CAM) configured to produce CAM indices responsive to search instructions provided to the search engine. The search engine further includes an index translation circuit operatively coupled to the CAM and configured to provide translation of the CAM indices to another memory space, such as from an absolute index space associated with the CAM to a memory space associated with a database within the CAM or to a memory space of a device external to the chip, such as a command source or external SRAM.

Systems, methods, and computer-readable media for performing a user search query are provided. A search definition profile having one or more domain constraints and one or more vertical constraints, specified by a site owner, is obtained. A first search for documents is executed with the search query for a first search result. The first search result is constrained to documents in a search engine index that satisfy a collective domain constraint imposed by the one or more domain constraints. Without user intervention, a second search for documents is executed with the search query for a second search result when a relevance condition of the first search result, specified by the site owner, is not satisfied. The second search result is constrained to a collective vertical constraint imposed by the one or more vertical constraints. An output search result that is combination of the first and second search results is provided.

Users may be protected from scumware included on or associated with web sites indexed by a search engine. The search engine may, for instance take the presence of scumware into account when ranking or determining whether a document matches a search query or provide information with search results that indicates that a particular search result link may be associated with scumware. In one implementation, a search engine generates search results for a search query to obtain documents that are relevant to the search query. The search engine may then format the search results as a web page that includes visual indicators associated with those of the relevant documents that have been determined to be associated with scumware.

Methods for using task-related information to enhance digital searching are provided. A task-oriented user activity system maintains task-related information about resources accessed by a user and current user task. This task-related information is used to enhance search queries to include task-related search criteria that improve relevance of search results. The task-related information can also be used to include task-related metadata in search engine index, e.g., by storing the metadata in the index or by storing it in resources which are subsequently indexed. Task-related information can also be used to enhance search results by filtering and ranking results to increase relevance with respect to a user's current task.