2612results about How to "Improve relevance" patented technology

A method and system for information retrieval are provided whereby at least one search criterion is received from a user; a query is created based on the at least one search criterion; the query is executed to generate results, each of the results corresponding to a respective data entity which satisfies the at least one search criterion; the results are arranged into an order, the order being determined at least in part by a characteristic of the data entity corresponding to each result and a previous act by a user with respect to the data entity corresponding to each result; and the results are displayed to the user.

A method for presenting dynamic advertising comprises providing an advertising presentation device; regularly receiving electronic context data related to the advertising presentation device; on the basis of the context data, automatically generating context-based advertising; and causing the advertising presentation device to present the context-based advertising. The method is useful in particular for mobile advertising presentation devices, as it enables advertising to be dynamically generated based on regularly received context data such as presentation device location, date / time, user input at the advertising presentation device. Increased relevance of the advertisement to the observer is therefore provided. A system for presenting dynamic advertisements comprises an advertising presentation device; a controller in communications with the advertising presentation device, the controller for: regularly receiving electronic context data related to the advertising presentation device; automatically generating context-based advertising on the basis of the context data; and causing the advertising presentation device to present the context-based advertising.

The invention aims to provide a method and equipment for recommending the content of Internet based on a user browse behavior. The method comprises the following steps of: acquiring the user browse behavior of a user made through user equipment by network equipment; acquiring a browse object corresponding to the user browse behavior according to the user browse behavior; acquiring one or more pieces of recommendation information matched with the user browse behavior according to the browse object; and providing one or more pieces of recommendation information for the user equipment. Compared with the prior art, the method has the advantages that: the content of the Internet is recommended based on the user browse behavior, so the abundant information contents with high degree of correlation are provided for the user, so that the searching and browsing experience of the user is improved.

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 method and system for automatic data categorization in response to a user query. A document set is retrieved in response to the user query. A semantic parser parses the document set and produces semantic term-groups by parsing a semantic network of nodes. A seed ranker produces a plurality of advantageously spaced semantic seeds based on the semantic term-groups. A category accumulator stores the advantageously spaced semantic seeds. The semantic network of nodes is augmented with the advantageously spaced semantic seeds.

A web service interrogation method comprises receiving natural language request data at a processor. The processor parses the request data. A data structure comprising a directory of web service resources is interrogated based upon the parsed input data. Fields within a web service identified from said data structure are matched to the parsed input data. Service data records corresponding to at least some of said webs service resources that fulfill a matching criteria to the request data are aggregated. The service data is output to a user. A web service interrogation apparatus is also disclosed.

A system is provided for use as a source of information and for providing to a user who makes a request for information, an answer to that request. The system includes an information library that includes at least a human resource profile source that typically includes details on a number of persons to whom the request can be selectively sent and from whom an answer is obtained. The system selects the recipients of the request on the basis of the human resource profiles and can also store answers and other information to which subsequent requests can be referred as well as other selected information sources. The system includes refinements such as the optional division of a human resource profile into aspects of interest and expertise; those aspects can be further divided into areas of specific subject matter.

An advertisement can be presented by associating a label with an advertisement, receiving input from a user, wherein the input comprises one or more labels, identifying a match between the label associated with the advertisement and the input, and presenting the advertisement to the user. A bid further can be received for presenting the advertisement in response to input from a user that includes the associated label and an advertisement presentation order can be determined based on one or more of the bid, a click-through rate of the advertisement, and a conversion rate of the advertisement. Additionally, a negative label can be associated with the advertisement. Further, an additional input comprising one or more labels can be received from the user, a match can be identified between the negative label and the received additional input, and it can be determined not to present the advertisement based on the identified match.

A collaborative system and method are used to capture, organize, share and preserve life stories. Life stories can be expressed in first person or third person. In either case, the process of developing the life stories is carried out with collaboration with and contributions from other users. The collaboration among the users is desirable because it serves to encourage and prompt users to record their life stories and also increases the relevance of the recorded life stories, so that an online community of users containing highly relevant and meaningful content, that is also relatively permanent in nature, about the users can be created.

A system and method for classifying user context in a customer self service system that performs resource search and selection and includes a context attribute database comprising types of user contexts and one or more context attributes associated with each user context for processing by the system, and context attribute function database comprising functions for computing values for each context attribute. The classifying system comprises a computing device for receiving a user query and a context vector comprising data associating an interaction state with the user and, processing the query and context vector against data included in the context attribute database and context attribute function database for predicting a particular user context. The classifier populates the user context vector with context parameters specifying a user interaction state for use in a subsequent resource search. The result of this invention is an ability to relieve the user of the nonproductive work of describing their context and the ability to improve the search value by including criteria derived from both data and behaviors in the general population which may be unknown to the user. The system and method is especially applicable for a self service system in a variety of customer self service domains including education, real estate and travel.

A system for communicating with a mobile device is provided by aggregating content from at least one source of content having a first set of markup tags readable by executable code on the mobile device and a second set of markup tags. The aggregated content having the second set of markup tags is formatted with the first set of markup tags by either reorganizing the aggregated content, extracting irrelevant information, incorporating relevant information, combining one or more source together. A set of actions based on the formatted content is displayed using the first set of markup tags.

The present invention provides a rolling bearing fault diagnosis method in various working conditions based on feature transfer learning, and relates to the field of fault diagnosis. The objective ofthe invention is to solve the problem that a rolling bearing, especially to various working conditions, is low in accuracy of diagnosis. The method comprise the steps of: employing a VMD (VariationalMode Decomposition) to perform decomposition of vibration signals of a rolling bearing in each state to obtain a series of intrinsic mode functions, performing singular value decomposition of a matrixformed by the intrinsic mode functions to solve a singular value or a singular value entropy, combining time domain features and frequency domain features of the vibration signals to construct a multi-feature set; introducing a semisupervised transfer component analysis method to perform multinuclear construction of a kernel function thereof, sample features of different working conditions are commonly mapped to a shared reproducing kernel Hilbert space so as to improve the data intra-class compactness and the inter-class differentiation; and employing the maximum mean discrepancy embedding to select more efficient data as a source domain, inputting source domain feature samples into a SVM (Support Vector Machine) for training, and testing target domain feature samples after mapping. Therolling bearing fault diagnosis method in various working conditions has higher accuracy in the rolling bearing multi-state classification in various working conditions.

Innovative techniques for identifying and distinguishing content, such as commercials, can be used with means for marking key frames within the commercials to facilitate replacement of commercials and other programming segments in such a way as to provide improved focus and relevance for targeted advertising based on known and / or dynamic conditions. The identification of commercial features can also be used to provide improved trick play functionality while the commercial or other programming is rendered.

The present invention relates to a fine-granularity files and directory edition management method based on snapshots, belonging to the multi-version document system field. The present invention separates a name space consisting of files and dirnames in a whole file system from an edition space representing the generating periods of different editions, and adopts relatively independent strategies to execute management, forming a hierarchical two-dimensional structure, i.e. forming a hierarchical structure from a root directory to a file in the name space; in the edition space, the editions of files and directory are organized through an index structure chronologically, forming a hierarchical structure in the edition space. The retrieval of the name space adopts an index strategy based on dynamic hash. The retrieval of the edition space adopts an index strategy based on a red-black tree. The directory edition and file edition respectively adopt a red-black tree structure variant aiming at the respective characteristics. The present invention can greatly improve the usability and the performance of the system, and controls the amount of consumption of time and space resulting from the maintenance of historical editions in an acceptable scope.

A collaborative system and method are used to capture, organize, share and preserve life stories. Life stories can be expressed in first person or third person. In either case, the process of developing the life stories is carried out with collaboration with and contributions from other users. The collaboration among the users is desirable because it serves to encourage and prompt users to record their life stories and also increases the relevance of the recorded life stories, so that an online community of users containing highly relevant and meaningful content, that is also relatively permanent in nature, about the users can be created.

A collection container and a method for collecting a biological sample, particularly whole blood, that includes at least one stabilizing agent in an amount effective to stabilize and inhibit protein degradation and / or fragmentation. The stabilizing agent is able to stabilize proteases in the biological sample, particularly at the point of collection, by inhibiting protein degradation and / or fragmentation in the sample when the sample is stored. The stabilizing agent includes one or more protease inhibitors.

A system and method for improving the relevance of search results is disclosed. Voters who may be human searchers or guides may review search results or other review items associated with a search request or other reference item. A review may be activated based on a usage indicator(s) which may improve utilization of guides. A vote by a voter may be weighted based on a voting history associated with the voter and one or more reference voters who may be designated by the system. A voter may be presented with a group of items for review including simultaneously. A number of comparison voting sessions or elections may be used to determine a rating or ranking of a review item associated with a reference item.

The embodiment of the invention discloses a method and a device for establishing a picture search correlation prediction model, and a picture search method and device. The method for establishing the picture search correlation prediction model comprises the following steps: using a training sample to train a pre-constructed original deep neural network, wherein the training sample comprises a query and picture data, and the original deep neural network comprises a representation vector generation network and a relevant computational network; and taking the original deep neural network which finishes training as the picture search correlation prediction model. The technical scheme of the invention optimizes the traditional picture search technology, and is better than the traditional technology and various fusion and variation capabilities on multiple aspects including the semantic matching of the query and a picture text, the semantic matching of the query and picture contents, click generalization and the like, and relevancy between a picture search result and the query input by the user can be greatly improved.

Portable communication devices transmit digital images and their location information to a central server. If a particular location is often photographed it can be designated as a hot spot. Thereafter, if a communication device is currently transmitting from within a vicinity of the hot spot, based on the location data received from the communication device, notification data can be transmitted to the communication device for notifying the user of the hot spot. The notification data can include directional information for the user to access on the communication device for enabling the user to find the hot spot.

The invention relates to the technical field of information, in particular to a method for recommending information. The method comprises the steps that the feature information, corresponding to an access request, of a current user is extracted when the access request is received, and whether the current user is a new user or not is determined according to the feature information; when the current user is the new user, and hot spots are recommended to the current user according to the historical access record of the current user and the click rate rank; when the current user is an old user, the pre-stored user information and item information are clustered to generate a user cluster; in the user cluster, a first recommending list based on item contents is generated, and a second recommending list based on user-item network collaborative filtering is generated; a mixed recommending list is generated according to the first recommending list and the second recommending list; the information is recommended to the current user according to the mixed recommending list. The real-time performance, accuracy and relevance of the recommending information formed through the information recommending method are improved, and information can be effectively recommended for the user.

The invention relates to a patent literature similarity measurement method based on ontology, and relates to the technical field of natural language information processing for the ontology. The method comprises the following steps: extracting a core technical scheme according to the structural features, the position features and the keyword features of patent literatures; constructing a model for the relation between thematic terms of patent classes; constructing a field dictionary according to the model for the relation between the thematic terms of the patent classes and segmenting terms and removing stop terms for the core technical scheme; extracting keywords and weight by combining the relation between the thematic terms to TF-IDF as TextRank term initial weight; training a FastText model, and generating a term vector; and calculating an EMD distance to obtain a semantic distance according to keywords, term weight and term vector. Compared with the prior art, the patent literature similarity measurement method based on the ontology solves the problem that the similarity is low due to the fact that the structural features, the field features, the term relation features and the semantics approximate expression of the patent literature are not fully considered.

An initial image is subjected to a plurality of segmentations into uniform components by using various criteria to identify and isolate several series of objects constituted by segmented thumbnail images associated with geometrical descriptors for boxes that cover said objects, the results of the segmentation methods are fused, numerical values are used to characterize each object thumbnail image that results from fusion, and each of the thumbnail images is compared with indexed thumbnail images in an indexed database containing a set of textual descriptions for everyday elementary objects. The list of textual descriptions of everyday elementary objects matching the object thumbnail images that result from the segmentation and fusion operations is provided together with pertinence levels.

Systems and methods are disclosed for improving search results returned to a user from one or more search domains, utilizing query features learned locally on the user's device. A search engine can receive, analyze and forward query results from multiple search domains and pass the query results to a client device. A search engine can determine a feature by analyzing query results, generate a predictor for the feature, instruct a client device to use the predictor to train on the feature, and report back to the search engine on training progress. A search engine can instruct a first and second set of client devices to train on set A and B of predictors, respectively, and report back training progress to the search engine. A client device can store search session context and share the context with a search engine between sessions with one or more search engines. A synchronization system can synchronize local predictors between multiple client devices of a user.

A system and method for controlling information output based on user feedback about the information is provided that comprises a plurality of information sources providing information. The information sources may be electronic mail providers, chat participants, or page links. At least one neural network module selects one or more of a plurality of objects to receive information from the plurality of information sources based at least in part on a plurality of inputs and a plurality of weight values during that epoch. At least one server, associated with the neural network module, provides one or more of the objects to a plurality of recipients. The objects may comprise electronic mail messages, chat participants viewers, or slots within a link directory page. The recipients provide feedback about the information during an epoch. At the conclusion of an epoch, the neural network takes all of the feedback that has been provided from the recipients and generates a rating value for each of the plurality of objects. Based on the rating value and the selections made, the neural network redetermines the weight values within the network. The neural network then selects the objects to receive information during a subsequent epoch using the redetermined weight values and the inputs for that subsequent epoch.

The systems and methods of the invention provide a network querying or content system which drives high relevance question sets or content to users and presents it in the optimal template to ensure user interaction. In accord with at least one aspect, the system assesses the context (of a user) by interpreting the optimal template based on personality mapping of the user and relevancy mapping of the query or content. In a technically efficient manner, the system employs client-based managers and builders to select, supplement, or build user profiles and user interface templates to optimize queries or content based on a user's present profile. The systems and methods of the invention perform processing, in a technically efficient manner, to assess question or content set interaction and relevancy to generate targeted question sets or content that encourage overall user health and wellness.

The invention discloses a fruit location identification method. The fruit location identification method includes that using a neural network color classification model to divide to obtain a fruit pixel region; using an edge detection algorithm to carry out edge detection on a fruit pixel region image without background to obtain the fruit boundary; carrying out Hough transform circle detection on the fruit edge image through a shape locating Hough transform technology in the image to obtain fruit circle and circle center position, and realizing to divide the overlapped region of the fruit; based on image depth information, camera pose information and world position information, using a world coordinate transformation algorithm to extract the world coordinates of the circle center of each fruit to realize the quick detecting, precise locating and precise counting for the fruit.