98 results about "Human search engine" patented technology

A runtime adaptable search processor is disclosed. The search processor provides high speed content search capability to meet the performance need of network line rates growing to 1 Gbps, 10 Gbps and higher. The search processor provides a unique combination of NFA and DFA based search engines that can process incoming data in parallel to perform the search against the specific rules programmed in the search engines. The processor architecture also provides capabilities to transport and process Internet Protocol (IP) packets from Layer 2 through transport protocol layer and may also provide packet inspection through Layer 7. Further, a runtime adaptable processor is coupled to the protocol processing hardware and may be dynamically adapted to perform hardware tasks as per the needs of the network traffic being sent or received and / or the policies programmed or services or applications being supported. A set of engines may perform pass-through packet classification, policy processing and / or security processing enabling packet streaming through the architecture at nearly the full line rate. A high performance content search and rules processing security processor is disclosed which may be used for application layer and network layer security. Scheduler schedules packets to packet processors for processing. An internal memory or local session database cache stores a session information database for a certain number of active sessions. The session information that is not in the internal memory is stored and retrieved to / from an additional memory. An application running on an initiator or target can in certain instantiations register a region of memory, which is made available to its peer(s) for access directly without substantial host intervention through RDMA data transfer. A security system is also disclosed that enables a new way of implementing security capabilities inside enterprise networks in a distributed manner using a protocol processing hardware with appropriate security features.

A system and method for efficiently searching directory listing information to obtain more relevant results is provided. In a computer system running a computing application, it is advantageous to provide search capabilities, in the form of a search engine, to operators to assist them in their effort of retrieving desired data. The search engine may cooperate with a data store having directory listing information to provide listings data to an operator. In an illustrative implementation, this search engine may be deployed on an Internet Web site that offers business listing information. The search system may comprise a user interface to enter search query information, a data store that houses a variety of directory listing information according to a predefined data taxonomy, and a means for displaying the search results. In operation, the search engine offers a variety of search options, such as, search by business name, by business categories levels, by geographic position of the user or the business, or a combination thereof. Depending on the search query entered, the search engine will perform either a bounded search (i.e. a search bounded to a specific geographic area), a proximity search (i.e. a search proximate to a computed centroid), or a combination of the two to find the most relevant directory listings. Using the inputted search qualifiers, the search engine polls the data store according to a predefined set of rules and instructions for the relevant directory listing information. These rules are directly related to the taxonomy of the data store.

A method and a tool for suggesting search terms and other information during information search based on characters entered by users. Search terms may be suggested based on a heuristic that may take into account frequency of use and indexing of a database.

A search engine includes a decision component that determines whether documents that are returned in response to a user search query are likely to be very relevant to the search query. Links that refer to documents that the search engine determines to likely be very relevant may be displayed with visual cues that assist the user in browsing the links. The decision component may base its decision on a number of parameters, including: (1) the position of the document in a ranked list of search results, (2) the click through rate of the document, (3) relevance scores for the document and other documents that are returned as hits in response to the search query, and (4) whether the document is classified as a pornographic document (the search engine may refrain from showing visual cues for potentially pornographic documents).

Search terms are derived automatically from images captured by a camera equipped cell phone, PDA, or other image capturing device, submitted to a search engine to obtain information of interest, and at least a portion of the resulting information is transmitted back locally to, or nearby, the device that captured the image.

A system and method of generating an ordered search list via a search engine by determining various account balances to determine where a search listing will appear, if at all, in a search results list. If a web site advertiser's account is below a threshold, the search listing associated with the advertiser will not appear in the search list. Various balances may be used. Some of the balances may be closer to real-time balances and others may be more accurate, for example by removing certain event charges that were later determined to be non-chargeable. By using and monitoring the various account balances, the search engine prevents over-delivery of advertising through search result listings and possible over-billing of the advertisers.

Systems and methods that provide search and / or query-relevant information and / or links thereto to a user as and / or with a search and / or query result. This information can be determined from summary information that can be included within a tag, header, body, meta-data, etc. of the data. A user can employ a local and / or web search utility along with a search word, phrase, sentence, etc. to search over a data repository to locate and retrieve data that satisfies the search criteria. The summary information of this data is obtained and matched against the results and / or search criteria to determine whether the data is relevant to the search and / or query. The summary information is utilized to determine a snippet that summarizes the data, based on the search and / or query, search criteria, etc. to provide the user with search and / or query-relevant results and / or one or more links thereto.

A search engine is disclosed that utilizes both record based data and user activity data to develop, update and refine ranking protocols and to identify words and phrases that give rise to search ambiguity so that the engine can interact with the user to better respond to user queries and enhance data acquisition from databases, intranets and internets.

Here, we introduce Z-webs, including Z-factors and Z-nodes, for the understanding of relationships between objects, subjects, abstract ideas, concepts, or the like, including face, car, images, people, emotions, mood, text, natural language, voice, music, video, locations, formulas, facts, historical data, landmarks, personalities, ownership, family, friends, love, happiness, social behavior, voting behavior, and the like, to be used for many applications in our life, including on the search engine, analytics, Big Data processing, natural language processing, economy forecasting, face recognition, dealing with reliability and certainty, medical diagnosis, pattern recognition, object recognition, biometrics, security analysis, risk analysis, fraud detection, satellite image analysis, machine generated data analysis, machine learning, training samples, extracting data or patterns (from the video, images, and the like), editing video or images, and the like. Z-factors include reliability factor, confidence factor, expertise factor, bias factor, and the like, which is associated with each Z-node in the Z-web.

A query may be applied against search engines that respectively return a set of search results relating to various items discovered in the searched data sets. However, presenting numerous and varied search results may be difficult on mobile devices with small displays and limited computational resources. Instead, search results may be associated with search domains representing various information types (e.g., contacts, public figures, places, projects, movies, music, and books) and presented by grouping search results with associated query domains, e.g., in a tabbed user interface. The query may be received through an input device associated with a particular input domain, and may be transitioned to the query domain of a particular search engine (e.g., by recognizing phonemes of a voice query using an acoustic model; matching phonemes with query terms according to a pronunciation model; and generating a recognition result according to a vocabulary of an n-gram language model.)

A web crawler identifies and characterizes an expression of a topic of general interest (such as cryptography) entered and generates an affinity set which comprises a set of related words. This affinity set is related to the expression of a topic of general interest. Using a common search engine, seed documents are found. The seed documents along with the affinity set and other search data will provide training to a classifier to create classifier output for the web crawler to search the web based on multiple criteria, including a content-based rating provided by the trained classifier. The web crawler can perform it's search topic focused, rather than "link" focused. The found relevant content will be ranked and results displayed or saved for a specialty search.

A computer program product is provided as a business rating system to rank business that are relevant to a given Internet search topic. Business ratings are stored in a ranking repository that can be optionally searched by the user along with a user-defined search engine query. The business ratings are compiled from on-line questionnaires attached to the search engine results and / or on-line surveys obtained through other web based rating services. The business ratings assess the quality of the businesses in terms of “interactive” criteria such as customer satisfaction, professionalism, and cost and ease of use of the businesses' products or services. The business rating system is comprised of an on-line indexing engine, a query transformer, a search results transformer, a ranking based result sorter, an on-line ranking system, a metadata repository, and an on-line ranking repository. The business rating system integrates the ratings with the search results, and ranks the search results based on such business ratings. In this manner, the user of a search engine receives feedback from other users about businesses of interest. Eventually, businesses with higher ratings will be ranked at the top of the search list, while business with lower ratings will be ranked lower.

A search engine is disclosed that utilizes both record based data and user activity data to develop, update and refine ranking protocols and to identify words and phrases that give rise to search ambiguity so that the engine can interact with the user to better respond to user queries and enhance data acquisition from databases, intranets and internets.

A system and method of generating an ordered search list via a search engine by determining various account balances to determine where a search listing will appear, if at all, in a search results list. If a web site advertiser's account is below a threshold, the search listing associated with the advertiser will not appear in the search list. Various balances may be used. Some of the balances may be closer to real-time balances and others may be more accurate, for example by removing certain event charges that were later determined to be non-chargeable. By using and monitoring the various account balances, the search engine prevents over-delivery of advertising through search result listings and possible over-billing of the advertisers.

a system 100 that facilitates determining a user's intent given a user search query comprises a search engine that is employed to search over a collection of objects within a data store to retrieve a user search result set. The objects within the result set are associated with queries that were previously utilized to locate such objects. A level of relatedness between the previous queries and the user search query is determined, and previous queries that are associated with a result set that is novel and related to the user search result set are returned to the user.

The invention belongs to internet massage processing field, characterized in that: common inquiry set which is cared by user, according to one ore more search engine logs, is screened out firstly using the inquiry of corresponding information of user number; then calculating user touching ratio corresponding to user touching page of inquiry in common inquiry set, if multi-search engine logs is used, user touching ratio are united; user touching pages are effectively screened out based on user touching ratio, the ralated inquiry and corresponding result page address are stored related database; at last, the result from user information and the result by searching by search engine are united effectively when user puts in the demand of inquiry, and are reordered to return to user. The method has the advantage that computer is completed automatically and efficiently submits search engine performance in real time and objectively.

The invention discloses a personalized meta search engine based on user interest and a method for processing search results. The search engine comprises a user registration / login unit, a meta search result collecting unit and a personalized processing unit, wherein, the personalized processing unit achieves screening of search results, personalized ordering and establishment and renewal of a user interest model through a search result preprocessing module, a personalized ordering processing module and a user interest renewing module. The method comprises the following steps: establishing and initializing a user interest model and then logging in a server; distributing search words input by users in the format of each search engine required; converting returning results collected into a unified format, removing reprocessing and personalized ordering in sequence, and submitting to the users; and catching search results clicked by users, changing interest types and weight size and renewing the user interest model data. The invention has the advantages that the inquiry coverage and accuracy are high, and the method for processing search results can be used for searching engine in Internet.

The present invention provides an improved method of handling product recall activities through traceability. One embodiment of the present invention involves gathering data in a multi-layered database architecture containing supply, process, test, and customer layers. The data is supplied to a traceability module which contains a search engine to link and access the data. The search engine enables a search by part number, lot number, serial number, time stamp, and date / time frame. A traceability analysis is generated from the search, allowing failure analysis of the data. This analysis is performed through an event list over the entire supply, manufacturing, and customer data, facilitating backward and forward traceability of parts and components of the parts. This failure analysis further facilitates automatic response such as automatic warning and automatic recall to manufacturers and customers.

A method and system providing optional use of human search guides to allow a user to select between a human guide assisted search and an automated search. The user is provided with an option of submitting a query requesting assistance of one or more human guides, initiating a search without requesting assistance from human guide(s) using automated results, or a combination of both.

Systems and methods for generating geo-aware auto-suggestions for searching are provided. Characters corresponding to user input for a search query to a searching service may be processed prior to completion of the search query. Information about a geographical location may be processed. A geographical area of interest and potential correction(s) may be identified. Geo-specific suggestions may be determined based on the search query and / or a selected correction. The geo-specific suggestions may correspond to one or more identified businesses located in the geographical area of interest. The determining the geo-specific suggestions may include identifying business listing information corresponding to the geographical area of interest and the search query and / or a selected correction. The geo-specific suggestions may be indicated as a user-selectable option to complete the search query in a search query field for a search engine and / or to submit to the search engine as a selected search query.

Systems and methods of the present invention allow for providing a user with domain name suggestions in response to a search performed on a computer network. For example, when the user performs a search using a search engine, the search engine may forward a search query provided by the user to a domain name module. The domain name module may generate domain names based on the search query. The search engine, then, may return search results and the domain names to the user. The invention may be used as a marketing technique for sale or resale of the domain names.

A navigable search engine architecture comprising a plurality of search look up tables (10) having predetermined search values selectable by a user to define a search criteria, a plurality of target directories (14) consisting of target items that a search may be targeted to find, each directory organised with multi-level nodes, the nodes at each level having a heading that identifies a common characteristic or the target items linked to that node and a plurality of target directory indices (16) that are employed by the search engine to navigate through the target directories, each target directory index providing a link between each of said nodes in the target directories and related search values provided in said look up tables. When a user has defined a search criteria using said search values, the search engine finds and lists (20) the headings of the nodes that are related to said search criteria.

A system and method for implementing / influencing a search engine which provides search results to users based on characteristics of certain trendsetter web pages identified on the Internet. The trendsetter web page are determined by studying historical adoption behavior of a group within the universe of websites, or by reference to known indicia.

The present invention provides a search ranking method suitable for a file system, comprising: receiving a query; calculating final relevance scores of individual file items with respect to the query at least partially in accordance with energy scores of individual nodes on a current file system energy tree, and outputting a list of search results based on the final relevance scores; and updating the file system energy tree in response to an operation on the file system performed by a user, wherein the file system energy tree has a tree structure corresponding to that of the file system, and the individual nodes thereof respectively corresponds to the individual file items in the file system. The present invention also provides a corresponding file system search engine and computer program product. With the present invention, files and file folders that the user is interested in are usually arranged in relatively higher positions of the list of search results in file system search. Moreover, with the increase in the user's clicks on the file, the list of search results can be dynamically adapted to changes in the user's interest or preference.

Embodiments of the invention form an information set from the current set of index information available by the operations of the pre-search and runtime Search components of the search engine. A search request that contains search terms and / or other search criteria (e.g. date or file type) is entered by a user through an input interface. The search terms and the information set are worked through the search engine modules to provide the actual results sought by the user. These results are provided to the user via an output interface. Embodiments involve scanning the repository for documents that comprise at least one information type, and forming a numerical matrix from the scanned documents.

A method and system providing optional use of human search guides to allow a user to select between a human guide assisted search and an automated search. The user is provided with an option of submitting a query requesting assistance of one or more human guides, initiating a search without requesting assistance from human guide(s) using automated results, or a combination of both.

The invention discloses an expansion query method, a device and a search engine system containing the device, which can solve the problems that the natures of relevant query words provided by the existing search engine are same possibly, so the searched results by using the query words are similar and whether more information in a wider range can be searched or not is uncertain. The method comprises following steps: statistics of co-occurrence words with the query words is carried out; all the co-occurrence words are classified; a characteristic word is selected for each type; the characteristic words of various types are taken as the relevant query words of the query words. Compared with the prior art, the invention provides the multi-type query for a user, the natures of various query words are different, thus being capable of querying the more information in the wider range. The expansion query method guides the user to use better words to carry out the retrieval, thus being capable of obtaining better retrieval effect; the quiddity of guiding the user is to carry out the speculation of the query purpose of the user and further carry out the division, thus obtaining better effect.

A search engine includes a decision component that determines whether documents that are returned in response to a user search query are likely to be very relevant to the search query. Links that refer to documents that the search engine determines to likely be very relevant may be displayed with visual cues that assist the user in browsing the links. The decision component may base its decision on a number of parameters, including: (1) the position of the document in a ranked list of search results, (2) the click through rate of the document, (3) relevance scores for the document and other documents that are returned as hits in response to the search query, and (4) whether the document is classified as a pornographic document (the search engine may refrain from showing visual cues for potentially pornographic documents).

The subject invention provides a unique system and method that facilitates an interactive game-powered search engine that serve the purposes of both users who may be looking for information as well as game participants who may desire to earn some reward or level of enjoyment by playing the game. More specifically, the system and method provides feedback to a user based on the user's input string or a string derived therefrom. The feedback can be a response or answer to the user's input in the form of text, an image, audio or sound, video, and / or a URL that is provided by one or more game participants when there is some degree of consistency or agreement between the responses or when individual players have demonstrated good reliability in their responses.