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.

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 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.

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.

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).