39 results about "Topic areas" patented technology

A system and method for identifying a key influencer in a social media environment for enterprise marketing utilizing topic modeling and social diffusion analysis. A user interest profile can be generated by analyzing historical data stored in a database utilizing. A social graph can be generated and an influence measuring process based on the social graph data can be performed utilizing a static diffusion model and a dynamic diffusion model to calculate a set of key influencers. The dynamic diffusion model considers time stamp information to assess an impact of each user communication on the growth of a conversation within a time period. The key influencer can be identified in a specific topic area and a number of total users that can be reached via the influencer within a specific time window can be predicted.

Methods and systems are provided for identifying on-topic sources of media content. According to one embodiment, candidate seed sites are identified from which current seeds are selected for deep crawling. The current seeds are identified by correlating relevancy scores or key-word search results from multiple search engines; and selecting the current seeds based on on-topic scores of the candidate seeds. Periodically, a topic net associated with the topic area of interest is executed to locate relevant sources of media content by (i) building a graph in which nodes represent pages and edges represent links among pages by performing an iterative 360 crawl starting from the seeds; (ii) assigning initial node graph scores; (iii) computing final node graph scores by performing link analysis; (iv) computing a site graph scores by aggregating and averaging corresponding node graph scores; and (v) configuring sites with the highest site graph scores to be scraped.

An integrated interest and expertise-based discovery system and method infers interest and expertise levels of users and generates recommendations for delivery to the users in accordance with the inferred interest and expertise levels. The inferences of expertise may be relative to other users and may be combined with expertise calibration information in generating expected expertise levels for users with respect to one or more topics. The generation of recommendations may be informed by the degree of inferred interest in topical areas, by the comparison of expertise levels among users, and by information regarding the user expertise levels that are appropriate with respect to specific items of content. Explanations may be provided to recommendation recipients as to why they received recommendations.

The invention discloses an examination paper analysis method which is suitable for being carried out in calculation equipment. The method comprises the following steps: obtaining an image of examination paper to be analyzed, and identifying connected domains of various characters in the image; carrying out text line divisions on the examination paper according to identified connected domains of the various characters, and carrying out character content identification on the connected domains of the various characters; according to identified character content, selecting a text line, which takes a topic number as the beginning, from divided text lines as a topic beginning text line, and determining the topic area of each topic according to the position of each topic beginning text line; extracting color components of teacher checking handwriting from examination paper images, and identifying the color components to obtain teacher checking information; and enabling the teacher checking information to be corresponding to a corresponding topic area and the topic number so as to determine the teacher checking information of each topic. The invention discloses corresponding calculation equipment.

Disclosed is a method for detecting subject matter regions in a digital color image having pixels of (red, green, blue) values, comprising the steps of: assigning to each pixel a belief value as belonging to the subject matter region based on color and texture features; forming spatially contiguous candidate subject matter regions by thresholding the belief values; analyzing the spatially contiguous regions based on one or more unique characteristics of the subject matter to determine the probability that a region belongs to the subject matter; and generating a map of detected subject matter regions and associated probability that the regions belongs to the subject matter.

The invention relates to a topic information acquisition method based on network topology. An initial web page set is obtained from a search engine and is expressed as a vector set through purification, word division and removal of stop words, and a vector space model is used to calculate the text similarity. A network structure is utilized to perform linkage analysis to extracted URLs first, the linkage is filtered through directory hierarchies of the URLs, and then the weights of the URLs are modified according to the scaleless property of a network to perform the prior absorption selection. At the same time, unrelated topic areas are feedback, and the lengths of buffer areas of unrelated URLs are set through the distance between the URLs and a seed set. The heat of acquired topics is calculated to select one topic to obtain a new reply.

A system includes: a controller; a memory coupled to the controller, wherein the memory is configured to store program instructions executable by the controller; wherein in response to executing the program instructions, the controller is configured to: in response to receiving a request to generate an advisor list, wherein the request includes a topic area value, access a database including a plurality of advisor records, wherein each advisor record includes at least one topic area value, an advisor merit score value, and a recency of registration value; selecting advisor records for use in the advisor list, wherein the selected advisor records include at least three of the advisor records, including a first record selected based on advisor merit score values and a second record based on recency of registration values; and generate the advisor list using the selected advisor records.

A system and method for providing real-time, subject oriented communication between two or More users Specifically, the present invention enables two or more users sharing an interest in the same subject area to become aware of each other, and therefore to communicate with each other in real time as a result. Such communication is initiated when each user interacts with a client to provide a string of characters to a central server, which then compares these strings of characters according to a comparison process. If the strings of characters are comparable according to this process, then the central server notifies each client thereby enabling the two clients to communicate.

A method to assess a person's knowledge of a subject area is disclosed. The method prepares a plurality of test questions relating to the subject area, selects (n) first test questions from that plurality of test questions, and propounding each of these first test questions to the subject. The subject answers zero or more of the propounded first test questions. The method then determines for each of the propounded first test questions if that first test question was correctly answered, calculates a first score by dividing the number of correctly answered first questions by (n), sets an Excellent Threshold and an Excellent Points Assignment, and determines if the first score is greater than or equal to that Excellent Threshold. If the first score is greater than or equal to the Excellent Threshold, the method allocates the Excellent Points Assignment and assigns an End Of Pathway designation of Excellent.

The invention provides a test paper sample generation method and device, an electronic device and a storage medium. The method comprises: based on an image of a first test paper and a pre-trained topic area recognition model, identifying an area of each question on the first test paper, marking each component in the area of each question, the component comprising a question stem, an answer and / ora picture, and identifying characters corresponding to the question stem and the answer of each question through a pre-trained character identification model; storing the identified questions into a question sample library, and storing characters corresponding to the identified answers into a handwriting font sample library; and selecting at least one target question from the question sample library to form a second test paper, and selecting characters from the handwriting font sample library to fill the answer positions of the corresponding questions in the second test paper according to thestandard answers of the target questions so as to generate a new test paper sample. The problem that test paper samples are inconvenient to obtain in the prior art can be solved.

A professional educational game provides continuing education for the staff and others in a professional environment. Players play independently of one another as their schedules permit. A round of the game may extend for a few days, up to a few weeks. A relatively large game board includes a series of cover flaps attached thereto. Each flap conceals a statement relating to the profession of the players; statements are preferably in the form of a response to a question. The statements are preferably arranged in a matrix according to subject area and degree of difficulty. Players take one or more response sheets from a receptacle, lift the cover flap(s) to the statement(s) or question(s) selected, and note their response(s) to the statement(s) or question(s) on their response sheet(s). The game organizer may provide one or more prizes for the top placing player or players, at the end of each round.

Embodiments of the present invention allow a system to use data gathered from social networks and other systems to determine an ordered list of desired topics or skills to define a subject matter area and incorporate the order of the topics or skills into a search. To define this subject matter area, embodiments can consider not just the topics or skills that are listed, but those topics or skills that are similar based on a pre-computed topic graph. These considerations can be incorporated into a generated query, so that the query itself accounts for similarity of topics via the topic graph and the order of desired terms. The query generation process can include a claimed skills veracity model that provides differential weighting to claimed skills, based on the skill-sets of users who are deemed to be similar to the user being evaluated.

An expertise locator enables user defined correspondences between experts and respective certain objects. Each object inherits from classes in a hierarchy. Using the correspondences, a locator processor routine finds a candidate expert about a particular subject area. The candidate expert may be in a correspondence with a certain object whose class is a subclass of the particular subject area. Output may display an indication of the candidate expert, relevant expertise per candidate and / or a list of experts per certain object. In the case of the certain objects being topics, the hierarchy is an ontology of the topics.

The present invention is directed to a method and system for individualizing preparation for a high school equivalency test. The method and system comprise obtaining from the individual an initial skills assessment in one or more subject areas of the high school equivalency test. The initial skills assessment provides a raw score in one of the subject areas. The method and system further comprise determining an Alpha score for the respective subject area based on the initial skills assessment. The Alpha score is a difference between a passing score for the high school equivalency test and the raw score from the initial skills assessment in the same subject area.

A system and method for prospecting digital information is provided. A home evergreen index for a home subject area within a corpus of digital information is maintained and includes topic models matched to the corpus. A frontier evergreen index for a frontier subject area within the corpus topically distinct from the home subject area is identified. Quality assessments for frontier articles from the corpus identified by the topic models of the frontier evergreen index are obtained. The frontier articles with positive quality assessments are reclassified against the topic models in the home evergreen index. The frontier articles are provided in a display with home articles previously classified against the topic models in the home evergreen index.

A method of providing a personalized learning experience, under computer program control, to a user includes displaying graphically a listing of subject areas and their abstraction levels. Subject areas and abstraction levels may also be displayed via a concept map. Selection by the user of a desired subject area and a desired abstraction level from the graphical display moves program control of the learning experience to the desired subject area and the desired abstraction level.

Techniques are disclosed for bridging terminology differences between at least two subject areas. By way of example, a computer-implemented method includes executing the following steps on a computer. A first affinity measure is computed between a first term in a first corpus, corresponding to a first subject area, and a bridge term. A second affinity measure is computed between a second term in a second corpus, corresponding to a second subject area, and the bridge term. A third affinity measure is computed between the first term and the second term based on the first affinity measure and the second affinity measure. The bridge term is a term that appears in both the first corpus and the second corpus.

A computer based method for self-learning and auto-certification includes a plurality of quizzes and a review routine. The student begins by taking a quiz. Each quiz includes a plurality of presentations concerning a particular topic area. Each presentation is followed by a question. The question is followed by multiple potential answers. If the student passes the quiz they continue to the next quiz. If the student fails the quiz they retake the quiz. When the student passes all the quizzes, they advance to the review routine. Questions are randomly selected from all the previous quizzes in the review routine. The review routine presents the selected questions and stores the student answers. If the student fails some quizzes after the review routine, the student goes back to retaking the failed quizzes.

The invention relates to a microblog user influence ranking method integrating the user time information. The method comprises steps that (1) characterizing microblog users is carried out; (2) all theuser sets are clustered according to the microblog user characteristics to acquire potential influence user sets in the microblog; (3) a tensor influence model under the specific topic area is constructed for the potential influence user sets; (4) a new tensor influence model is reconstructed through utilizing tensor decomposition; (5) a user influence score is predicted based on the reconstructed tensor influence model; and (6), according to the user influence score, ranking from high to low scores is carried out, and the user influence ranking result is acquired and outputted. The method isadvantaged in that user influence prediction precision under the specific topic area can be improved.

A project management method and system provides process definition and relationship definition. Work patterns link steps with process listings in a series of useful scenarios for project management. Work product documents provide guidance to a project manager. A system may be entered either through a work pattern group or a domain of topic areas.

The embodiment of the invention relates to the technical field of topic detection, and discloses a topic segmentation method and device based on target area fusion, equipment and a medium. The methodcomprises the steps of obtaining a target picture, and obtaining a topic region mask and text line information of the target picture; determining a target text line mask according to the target topicarea mask, and calculating a first intersection area of the target text line mask and the target topic area; determining a first proportion of the target text line in the target topic area according to the first intersection area and the area of the target text line; and when the first proportion is greater than or equal to a first preset threshold, expanding the target topic area through the target text line mask to obtain an expanded target topic area. By implementing the method of the invention, topic segmentation can be supplemented through character recognition, so that the fused boundarycannot cut the text line, and meanwhile, the result of the character information is combined into the topic detection area, so that the topic detection result is more complete.

The African history card game includes a deck of educational cards. Each card has a front face with a fact, picture, question, and series of multiple choice answers each relating to a common theme, and a rear face having an alphabetic matrix of columns and rows concealing the correct answer. Point values based on the difficulty of the question on the particular card are provided on each card. Each card has a particular theme related to African history, e.g., geography, prominent individuals, history, inventions, science, engineering, sports, religion, culture, civil rights, agriculture, language, and music. The game may be adapted to other themes and subject areas, as desired. The object of the game is to determine the correct response of the choices on the front of the card, then find and point out this response in the rows, columns, and / or diagonals of the matrix on the back of the card.

The invention discloses a colorful children beach theme park. The theme park comprises a plurality of theme regions which share a central point and are formed by stretching outwards from the central point, wherein the theme regions are identical in shape and different in subject colors; the grounds of the theme regions are paved with sand; each theme region is provided with theme beach toys and / or facilities consistent with the theme region; a wall is arranged between every two theme regions; each wall is formed by overlapping sand bags containing sand. The theme park disclosed by the invention divides a space into the various theme regions through the colors, and toys and facilities adaptive to children in different ages depending on themes of the regions are scientifically and reasonably configured in each region, so that the distinct characteristic of each theme is highlighted, and thus a park design purpose of teaching through lively activities is achieved; the theme park disclosed by the invention can effectively provide flexible creativity adapting to future society.

The embodiment of the invention relates to the technical field of topic detection, and discloses a target text area selection method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining a target image; identifying a click point coordinate and a topic area mask in the target image; and determining a target question area according to the click point coordinates, the question area mask and a preset rule. By implementing the method of the invention, the intention question area required by the user can be output only according to the click point coordinates and the question area mask, technical support is provided for subsequent accurate question search and question recording, various typesetting and complex conditions can be supported, and good robustness is achieved under various conditions.

The invention puts forward a recognition method of key nodes of a social network in a topic field with the aim of solving the problem in the prior art that influence factors of user's nodes on information dissemination in a real social network are not taken into consideration and computing complexity is high. The method comprises following realization steps: (1) constructing a directed graph of the network; (2) generating an adjacent matrix corresponding to the directed graph; (3) quantitating influence factors of user's nodes on information dissemination; (4) quantitating topic relevancy of user's nodes; (5) quantitating information dissemination capacity of user's nodes; and (6) recognizing key nodes. The recognition method of key nodes of a social network in a topic field has following beneficial effects: the method depends on a local topological structure and introduces influence factors of user's nodes on information dissemination and the concept of topic relevancy of user's nodes in the real social network so that computing complexity is reduced and key nodes of the social network in the topic field are effectively recognized.