8 results about "Enterprise search" patented technology

Systems and methods are configured to generate a set of potential responses to a prompt using one or more data models with data from at least a plurality of data domains of an enterprise information environment that includes access controls. A deterministic response is selected from the set of potential responses based on scoring of the validation data and restricting based on access controls in view profile information associated with the prompt. These enterprise generative AI systems and methods support granular enterprise access controls, privacy, and security requirements. enterprise generative AI providing traceable references and links to source information underlying the generative AI insights. These systems and methods enable dramatically increased utility for enterprise users to information, analyses, and predictive analytics associated with and derived from a combination of enterprise and external information systems.

The invention relates to the field of artificial intelligence, in particular to an enterprise information generation and retrieval method based on AI and a knowledge graph, which can accurately position core elements required by a user by receiving a target retrieval statement input by the user and respectively extracting various types of entities from the target retrieval statement, avoids fuzziness of traditional keyword retrieval, and improves user experience. According to the method, attribute similarity scores, relation similarity comprehensive scores and semantic similarity comprehensive scores of all enterprises are obtained through analysis, it is ensured that retrieval results are consistent with the basic face of user requirements, dynamic weight rules are constructed, relevancy scores of all the enterprises and user target retrieval statements are analyzed, and sorting results of all enterprise information are obtained and returned to users. And accurate, flexible and intelligent enterprise retrieval experience is realized.

The application discloses a search platform object-level data permission management method for a non-uniform permission system and multi-source data, which sequentially comprises classification of multi-source data collectable by a search platform, establishment of search platform permission data standard specification, multi-source data permission requirement analysis, data source permission data processing, search platform target permission data processing, search platform target permission data collection, search platform knowledge production, search platform user permission configuration and personnel authentication in a search request; the method solves the problem that a permission model based on RBAC in the prior art cannot adapt to object-level data permission management requirements in a non-uniform permission system and a multi-data-source enterprise search platform, realizes compatibility of data permission management of different data sources, different permission systems and differentiated organization mechanisms, and the granularity of search platform data permission management reaches the object level.

Systems and methods are configured to utilize data from at least a plurality of data domains of an enterprise information environment including access control to generate a set of potential responses to hints using one or more data models. A deterministic response is selected from the set of potential responses based on the scoring of the verification data and taking into account the configuration file information associated with the hint is restricted based on the access control. These enterprise generative AI systems and methods support granular enterprise access control, privacy and security requirements. The enterprise generative AI provides traceable references and links to insight underlying source information into the generative AI. These systems and methods enable significant increase in utility of enterprise users on information, analyses, and predictive analyses associated with and derived from a combination of enterprise and external information systems.

The present application relates to the technical field of electric digital data processing. Disclosed are a large model-based enterprise-level search result optimization method and device, and a medium. The method comprises: by means of an enterprise search engine, returning a search result list consisting of a plurality of search results corresponding to a search query requested by a user; performing semantic analysis on the search query by means of a large language model, so as to obtain an answer corresponding to the search query; on the basis of the query answer, adjusting the search result list to obtain an adjusted fusion search result list; on the basis of a preset weighting calculation model, allocating corresponding search matching weightings to the fusion search result list; for each search result in the fusion search result list, acquiring user operation data fed back by the user for the search result, and, on the basis of the user operation data, calculating a user operation weighting corresponding to the search result; and, on the basis of the user operation weightings and the search matching weightings, re-adjusting the fusion search result list to obtain a target search result.

This application discloses a method, apparatus, device, computer storage medium, and program for enterprise search. The method includes: determining an enterprise knowledge graph corresponding to a search task; determining a target retrieval index containing keywords from an index table of the enterprise knowledge graph, wherein the index table contains multiple retrieval indices, each containing keywords and the database location of the keyword index; inputting the target retrieval index into a pre-trained event search model, so that the event search model retrieves data related to the keywords from the database location of the keyword index according to the shortest path; and outputting the data related to the keywords as the search result corresponding to the search task. According to the embodiments of this application, an enterprise knowledge graph is constructed based on enterprise information, thereby realizing the organization and classification of enterprise information. Enterprise search based on the enterprise knowledge graph can improve the timeliness and accuracy of enterprise search, thus improving the efficiency of enterprise search.

This invention relates to the field of online service platform technology, specifically to an online credit repair service platform and data processing method. The method includes: receiving login requests and enterprise search requests; generating credit repair orders and establishing order master data; writing customer data into the platform's public data pool, self-transmitted public data pool, or private data pool according to the customer's source; and performing data rollback according to the original source if no follow-up record is generated within a preset follow-up period; and performing order dispatch, approval, legal processing, data verification, and financial settlement according to the order status, thereby achieving unified data management and cross-departmental collaborative processing throughout the entire credit repair business process.

A method for preprocessing cleartext strings is provided. In some embodiments, the method includes creating dynamic multidimensional spaces based on a key. The method further includes creating a position specific variability for the cleartext strings to form a preprocessed strings, where characters that appear in different positions within the cleartext strings are encoded differently in the preprocessed strings. The method also include applying encryption to the preprocessed strings or to preprocessed string fragments to form encrypted preprocessed strings, wherein the encrypted preprocessed strings are searchable in a search index.