Abstract: A method includes receiving a first search term and a second search term and using the first search term to search a first system that associates the first search term with a plurality of people to retrieve a respective identifier for each of the plurality of people. The second search term and the plurality of identifiers are used to search a second system that associates the second search term with a second plurality of people. The second system returns a count of the number of people who are in both the first plurality of people and the second plurality of people but is prevented from associating the first search term with a person and from releasing the association between the second search term and the second plurality of people. The count is returned as the number of people who have both the first search term and the second search term.

Abstract: Examples of the present disclosure describe systems and methods for determining authoritative documents based on implicit interlinking and communication signals. In aspects, a search operation may be initiated from one or more applications or services. The search operation may be processed to identify search information, such as one or more content items, content topics, or entities. The identified search information may be used to search one or more data sources for implicit relationships between the search information and content items and/or entities stored by the data sources. The results of the search may be collected and ranked according to one or more criteria. The ranked results may be provided in response to the search operation.

Abstract: The present disclosure relates to a method and an apparatus for object preference prediction, and a computer readable medium. The method includes: acquiring evaluation information indicating preference values of partial users in a user set for partial objects in an object set; acquiring auxiliary information of at least one of the user set and the object set, wherein the auxiliary information indicates an attribute of at least one of a corresponding user in the user set and a corresponding object in the object set; determining a user feature representation and an object feature representation using a matrix decomposition model, based on the evaluation information and the auxiliary information; and determining a preference prediction value of a target user in the user set for a target object in the object set based on the user feature representation and the object feature representation.

Abstract: The described technology is directed towards evaluating client-specific information and possibly other information to determine whether to return less data than is available for a data item in response to a request for graph node data to a data service, and/or return expanded graph node data. When a request for graph data is received, client-specific information is used at least in part by a data service in determining whether to return a virtual graph node comprising a relatively lightweight set of information relative to the full set of information maintained in a main (graph) node. The client-specific information is also used in determining whether to return expanded data beyond that requested, e.g., for caching at the client in anticipation of it likely being needed by the client.

Abstract: Ad-hoc table retrieval, including: Representing each of a plurality of tables as a multi-field text document in which: different modalities of the table are represented as separate fields, and a concatenation of all the modalities is represented as a separate, auxiliary field. Receiving a query. Executing the query on the multi-field text documents, to retrieve a list of preliminarily-ranked candidate tables out of the plurality of tables. Calculating an intrinsic table similarity score for each of the candidate tables, based on the query and the auxiliary field. Calculating an extrinsic table similarity score for each of the candidate tables, based on a cluster hypothesis of the candidate tables. Combining: the preliminary rankings, the intrinsic table similarity scores, and the extrinsic table similarity scores, to re-rank the candidate tables.

Abstract: The present invention relates to methods and systems for targeting and retargeting individuals with advertisement spots during television broadcasting. The method and system enable an advertiser for identifying and categorizing a set of viewers or individuals for retargeting advertisement based on parameters such as, but not limited to, interests or preferences of the individuals, past purchases and interactions of the individuals with the advertiser. The method and system further enable the advertiser to segregate the plurality of individuals into subgroups on the basis of information such as, but not limited to, demography, psychographic and behavioral characteristics of the plurality of individuals. The method and system then enable the advertiser to define one or more advertisement spots and corresponding advertisements to be delivered to different sub groups of individuals based on the categorization.

Abstract: An approach is provided that automatically computes a number of feature combinations based on a set of subject matter fields that are selected from a set of subject matter fields and further based on qualifiers that correspond to the selected set of subject matter fields. A model in an artificial intelligence (AI) system is then trained using the computed plurality of feature combinations.

Abstract: Embodiments are disclosed for a method for identifying large database transactions. The method includes generating a token marker sequence of a database transaction. The token marker sequence includes multiple token markers. The token markers include a token of the database transaction and a position corresponding to the token. The method further includes sorting the token markers based on a probability that the token occurs in a stream of database transactions. Additionally, the method includes reducing a size of the token marker sequence based on a predetermined threshold.

Abstract: Methods and systems for incorporating physical documents into a document review workflow involving electronic documents. One or more embodiments detect a presence of a physical document within a field of view of an AR device and map the physical document to an existing electronic document based on visual features of the physical document. Additionally, one or more embodiments determine at least one difference between the physical document and the electronic document and create, for the physical document and the electronic document a shared state mapping including the difference(s). One or more embodiments then apply the difference to the physical document or the electronic document by displaying the difference(s) in an AR layer within the field of view of the AR device or storing the difference(s) in the electronic document.

Abstract: Technologies for attestation techniques, systems, and methods for determining an individual's movement are provided. The individual's movement is determined by passive indoor positioning technology using channel state information (CSI). A first set of data associated with an impulse or frequency response determined using channel state information (CSI) may be received from a Wireless access point located in proximity to a monitored space. A second set of data may also be received from an Internet of Things (IoT) device located in proximity to the monitored space. The first set of data may be compared to the second set of data. A profile database may be updated to replace the first set of data with the second set of data when the first and second sets of data are different.

Abstract: Systems and methods for dynamic computer aided innovation via multidimensional complementary difference recommendation and exploration are disclosed including categorizing a first and second data element in a database with a first attribute and second attribute, respectively, of a first dimension, a dimension being an aspect of a situation, problem, or thing. The first and second data elements are categorized with a first attribute and a second attribute of a second dimension, the second dimension being different from the first dimension. Analyzing the first and second attribute of the first dimension and the first and second attribute of the second dimension to determine a ratio of similarity and dissimilarity; calculating a composite score of the ratio of the first dimension and the ratio of the second dimension; and generating and storing a link between the first and second data element when the composite score is within numerical limits.

Abstract: There are provided a font creation apparatus, a font creation method, and a font creation program capable of generating, from small-number character images having a desired-to-be-imitated style, a complete font set for any language having the same style as the character images. A feature amount extraction unit (40) receives a character image (32) of a first font having a desired-to-be-imitated style and extracts a first feature amount of the first font of the character image (32). An estimation unit (42) estimates a transformation parameter between the extracted first feature amount and a second feature amount of a reference second font (34). A feature amount generation unit (44) generates a fourth feature amount of a second font set to be created by transforming a third feature amount of a complete reference font set (36) based on the estimated transformation parameter.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training an image embedding model. In one aspect, a method comprises: obtaining training data comprising a plurality of training examples, wherein each training example comprises: an image pair comprising a first image and a second image; and selection data indicating one or more of: (i) a co-click rate of the image pair, and (ii) a similar-image click rate of the image pair; and using the training data to train an image embedding model having a plurality of image embedding model parameters.

Abstract: A method for performing an Internet search is provided. The method includes: receiving a textual input that includes at least one search term; using the at least one search term to identify a plurality of Internet-accessible information items that relate to the at least one search term; assigning a respective relevance score to each item of the identified plurality of Internet-accessible information items, such that each respective relevance score is based on a degree of closeness of a textual match between the corresponding information item and the at least one search term; and outputting an ordered list of results, the order of which is based on the relevance scores.

Abstract: A visual dialogue model receives image input and text input that includes a dialogue history between the model and a current utterance by a human user. The model generates a unified contextualized representation using a transformer encoder network, in which the unified contextualized representation includes a token level encoding of the image input and text input. The model generates an encoded visual dialogue input from the unified contextualized representation using visual dialogue encoding layers. The encoded visual dialogue input includes a position level encoding and a segment type encoding. The model generates an answer prediction from the encoded visual dialogue input using a first self-attention mask associated with discriminative settings or a second self-attention mask associated with generative settings. Dense annotation fine tuning may be performed to increase accuracy of the answer prediction. The model provides the answer prediction as a response to the current utterance of the human user.

Abstract: Techniques described herein perform implement a query using a synthetic time series (STS), for example applying an STS on time series data to obtain an answer to the query. In an embodiment, a method receives a times series and query relating to the time series. The method translates the query into a synthetic time series. The method executes a reduce operation on the STS and the time series. The method then returns the result of the operation as an answer to the query. A result of the reduce operation is returned as an answer to the query.

Abstract: A computer based system and method for assigning queries to topics and/or visualizing or analyzing query coverage may include, using a computer processor, searching, using a set of queries, over a set of text documents, to produce for each query a set of search results for the query. Each search result may include a subset of text from a text document of the set of text documents. For each query, a query vector may be calculated based on the set of search results for the query, and for each of a set of topics describing the set of text documents, a topic vector may be calculated. A report or visualization may be generated including the set of queries and the set of topics using the topic vectors and the query vectors.

Abstract: A computing device receives a message including a request for a recommendation. A representation of a hypothetical ideal recommendation to provide in response to the message is determined based on the message content. Data regarding entities that are potential recommendations are retrieved from a data store, the data regarding each entity including a representation of the entity (e.g., a vector) derived from factual information about the entity and opinions of other users of the entity. Ranking scores are determined for at least a subset of the entities based on the difference between the entity representations and the representation of the hypothetical ideal recommendation. An entity to recommend is selected based on the ranking scores and a reply to the message is sent that identifies the selected entity.

Abstract: Methods and devices for assessing the quality of user-generated content are described. In one embodiment, a method is disclosed for measuring the quality of a user-generated answer to a question by combining various factors, including question-answer surface word vector similarity, question-answer explicit semantic analysis vector similarity, answer-answer explicit sematic analysis vector similarity, query performance predictor, sentiment analysis, textual analysis of the answer, and reputation of the answerer. The method uses a learning procedure to determine the best algorithm for measuring the overall quality of the answer based on these factors.

Abstract: A system, computer program product, and method are provided to conduct gap probability mapping to predict presence and location of one or more gaps in a corpus. A probabilistic model is formed to represent inter-corpora associations of objects, which the model leverages to process query submissions. As queries are received and processed, the model creates an adjustment. Subject to evaluation, confidence of the adjustment is evaluated, and a response correlated to the confidence is returned.

Abstract: Disclosed herein are embodiments of systems, methods, and products comprises a server, which identifies optimized potential suppliers based on the client's request. The request comprises search specification and preselected bidders. The server extracts a first set of keywords from the search specification and finds web pages of potential suppliers based on the first set of keywords. The server identifies the websites of the preselected bidders, extracts a second set of keywords from the websites, and finds web pages of more potential suppliers based on the second set of keywords. The server determines the web pages are associated with real suppliers by excluding non-supplier web pages. The server determines a similarity score for each potential supplier by vectorizing keywords extracted from the supplier's web pages. The server determines a risk score for each potential supplier. The server generates a GUI comprising a list of suppliers ranked based on the similarity scores.

Abstract: A method that enables information sharing is described herein. The method includes receiving a query from a first collaborator at a content management system, wherein a relationship between the first collaborator and a second collaborator is maintained by the content management system. The method also includes determining query results in content stored at a second shard belonging to the second collaborator in response to the query, wherein the query results are relevant to a search based on the received query. Additionally, the method includes releasing the query results from the second shard in response to an indication from the second collaborator, and returning the released query results to the first collaborator.

Abstract: A method for providing search suggestions, a device, and a computer-readable storage medium, are provided according to the present disclosure. The method for providing search suggestions includes: obtaining an input search term in a search box of a search interface and determining a first group of suggested search terms associated with the input search term. The method further includes: displaying the first group of suggested search terms in the search interface, and in response to a selection for one or more first suggested search terms from the first group of suggested search terms, searching by taking the input search term and the one or more first suggested search terms as search keywords.

Abstract: A method and an apparatus for outputting information are provided. The method includes: acquiring an info-news data set from a target info-news website; determining a field to which each piece of info-news data in the info-news data set belongs; performing, for each field, a cluster analysis on a piece of info-news data belonging to the field in the info-news data set, to obtain a number of the piece of info-news data and a cluster center in each cluster; and using, for each cluster of each field, the cluster center in the cluster as hot info-news of the field, and using the number of the piece of the information belonging to the cluster as an info-news heat degree of the hot info-news and outputting the info-news heat degree.

Abstract: Disclosed herein are efficient systems and methods for verification of user information in a timely manner. A background computer process for verification of the user information using a third-party authentication service is initiated. The third-party authentication service performs the verification of the information submitted by the user in response to some of the questions within the questionnaire at the same time as the user is replying to remaining questions within the electronic questionnaire. Accordingly, by the time the user is finished replying to all questions within the electronic questionnaire, the previously submitted information by the user is verified and a profile of the user is authenticated.

Abstract: Embodiments provide a computer implemented method for generating a domain-specific thesaurus on a cognitive system, comprising: receiving data of the domain-specific corpus and a plurality of terms of interest from a user; splitting the data of the domain-specific corpus into a plurality of sentences using natural language processing techniques; for each term in the plurality of terms of interest, retrieving a plurality of candidate sentences containing a corresponding term, from the plurality of sentences; for each candidate sentence, providing a list of synonyms of the corresponding term, wherein the synonyms are contextual alternatives in the corresponding candidate sentence; for each term in the plurality of terms of interest, tracking a frequency of each synonym, and forming a frequency map including all the synonyms of a corresponding term and the frequency of each synonym; and generating a domain-specific thesaurus based on a combination of all the synonyms in the frequency map.

Abstract: A method includes generating vertical-specific (VS) records from data sources. Each VS record includes a vertical identifier and a set of VS data fields. The method further comprises generating, for each VS record, an entity partial (EP) record that includes EP data fields populated from the VS data fields. The EP data fields include an entity ID that indicates an entity for the EP record, a source data field that identifies a data source, and an EP searchable data field including data that is descriptive of the entity. The method further comprises generating a search record for each entity ID by combining data from EP records. The data from the EP records is combined based on the source data included in the EP records. Each search record includes a search record searchable data field that includes data from one or more of the EP searchable data fields.

Abstract: Systems, methods, and non-transitory computer readable media configured to determine a value associated with at least one signal indicative of objectionable material in a content item. The value associated with the at least one signal indicative of objectionable material can be compared with a threshold value associated with the at least one signal. A demotion value can be determined in response to satisfaction of the threshold value associated with the at least one signal.

Abstract: Techniques are described herein for determining an information gain score for one or more documents of interest to the user and present information from the documents based on the information gain score. An information gain score for a given document is indicative of additional information that is included in the document beyond information contained in documents that were previously viewed by the user. In some implementations, the information gain score may be determined for one or more documents by applying data from the documents across a machine learning model to generate an information gain score. Based on the information gain scores of a set of documents, the documents can be provided to the user in a manner that reflects the likely information gain that can be attained by the user if the user were to view the documents.

Abstract: The disclosure provides a method and apparatus for processing search data. For a historical search query that includes a knowledge requirement, the disclosure mines entity information for the historical search query and uses that as an answer recommended to users. Thus, the accuracy of entity information recommended to users is improved, and the current problem of poor search results for a historical search query that includes a knowledge requirement is solved.

Abstract: For query auto completion (QAC) in an eCommerce platform with constantly changing product supply and demand, a Query Mover's Distance (QMD) framework for ranking queries is used, which formulates QAC as an optimal transport problem balancing product demand and supply.

Abstract: In various embodiments, methods and systems for implementing a semantic signature system are provided. A semantic signature system provides a machine trained semantic representation (i.e., a semantic signature) of the context of a word, synonyms of the word, and weak and strong relationship of the word with other words. The semantic signature can be utilized to facilitate labeling a word that is ambiguous or previously unknown. In practice, the label can be used to more accurately categorize the word for later retrieval by a search or to more accurately provide search results for a search query that includes the word.

Abstract: The disclosed embodiments provide an augmented reality system. The augmented reality system includes a camera that captures a set of images of one or more physical documents. The augmented reality system also includes a processing apparatus that enables use of the augmented reality system by a user in performing financial management associated with data in the one or more physical documents.

Abstract: The present disclosure provides a method, an apparatus, and a computing device for determining dissemination heat degree of information. The method for determining dissemination heat degree of information includes analyzing N levels of sharing data of specific network information to determine parameters related to each sharing level of the specific network information, where N is a natural number greater than 1; and calculating a dissemination heat degree S of the specific network information based on the parameters related to the sharing of the specific network information. The dissemination heat degree obtained according to the disclosed method, apparatus, and computing device can be used to predict the popular level of the specific network information during the subsequent dissemination process.

Abstract: A method of generating search suggestions includes receiving an indication of a current location of the user device. After a user accesses a search function on the user device and before the user submits a search request, the method includes determining search results associated with locations in proximity to the current location of the user device, using query log data indicating selections of past search results by users after presentation of the past search results in response to respective past queries. The method also includes determining relative positioning of the search results based on the number of users that selected each search result, determining categories associated with the search results, grouping the search results by the determined categories; and sending the grouped search results and the one or more categories associated with the search results to the user device for display according to the determined relative positioning.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content providing, searching and/or hosting systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide a novel framework that automatically generates and recommends Internet memes for inclusion within electronically communicated messages. As a user is drafting a message, the input text of the drafted message is analyzed and a set of Internet (or visual) memes are compiled and presented to the user within the drafting interface. Upon selection of at least one of the memes, the message is modified by automatically removing the text from the message and replacing the now removed text with the selected meme.

Abstract: Various examples are directed to systems and methods for identifying database records in a database table. A database management system receives a search request comprising a first set of strings associated with a first column of the database table and a second set of strings associated with a second column of the database table. The database management system selects a set of first column keywords using the first set of strings and executes a first tier query at the database table. Responsive to determining that no database record returned by the first tier query has a relevance score greater than a threshold value, the database management system executes a second tier query at the database table.

Abstract: In one example this disclosure describes a method that includes receiving, by a computing system, a first single character input from a user for a type down search. Responsive to the first single character input, sending, by the computing system, a plurality of asynchronous search requests to one or more data sources. Responsive to the plurality of asynchronous search requests, receiving, by the computing system, a first one or more data source search results from a first data source. Displaying, by the computing system, the one or more data source search results. Receiving, by the computing system, a second one or more data source search results from a second data source different from the first data source. And, updating, by the computing system and based on the received second one or more data source search results, the displayed one or more data source search results.

Abstract: Disclosed herein are systems, methods, and apparatuses that can provide, for example, dynamic page feed recognition for providing zero-configuration analysis of web pages and tailored advertisement provision to website visitors. The systems, methods, and apparatuses can be used to analyze inventory feed. Based on analysis of user interaction data on the web pages, one or more matching methodologies can be used to determine matching data between the visited web pages and the inventory feed.

Abstract: The present disclosure discloses a method and apparatus for recognizing a text type, and a device. A specific embodiment of the method comprises: preprocessing a pre-acquired text to obtain a keyword set of the text; calculating an occurrence probability value of each keyword in the keyword set in the text; importing, for the each keyword in the keyword set, the keyword and the occurrence probability value corresponding to the keyword into a pre-established document topic generation model, and determining an occurrence probability value of each topic in the text preset in the document topic generation model; and recognizing a type to which the text belongs based on the occurrence probability value of the each topic in the text. The embodiment improves an accuracy of recognizing the type of the text.

Abstract: An exemplary method includes: determining a pool of documents, wherein each document is within at least one of a plurality of lists, each of the lists results from executing a query on a corpus, and the corpus comprises at least the pool of documents; determining a first ranking of documents within the pool of documents based at least in part on first scores computed for respective documents within the pool; estimating relevance to the specified query at least of respective documents within the first ranking, wherein the relevance is estimated without user feedback regarding the relevance; and determining a second ranking of documents within the pool based at least in part on second scores computed at least for respective documents within the first ranking, wherein the second score for a given document is computed based at least in part on the estimated relevance of at least the given document.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform: performing a first search for the search query in a database using a first searching algorithm; assigning a respective first rank to each search result of the results of the first search; performing a second search for the search query in the database using a second searching algorithm; assigning a respective second rank to each search result of the results of the second search; interleaving the results of the second search between the results of the first search to create combined search results; facilitating a display of the combined search results; generating a report on an interaction with the search result of the combined search results, as stored; and facilitating a display-of the report. Other embodiments are disclosed herein.

Abstract: Disclosed is a computer program stored in a computer readable storage medium according to an exemplary embodiment of the present disclosure. The computer program executes operations for enhancing search performance of data when the computer program is executed by one or more processors and the operations may include: setting a traverse time stamp of an index search for searching a target index key; searching the index tree along a link connected from a root node of the index tree to a leaf node; writing in a time stamp table at least one index time stamp of the root node and the leaf node passed in the index search; determining whether a path of the index search needs to be changed; and determining a start node of re-search at least partially based on the time stamp table.

Abstract: A method, a computer program product, and a computer system cognitively distribute email attachments to recipients. The method includes receiving an email composition for an email to be transmitted to a plurality of recipients, the email composition including at least one attachment. The method includes determining recipient information indicative of respective characteristics of the recipients. The method includes determining a context of a select one of the at least one attachment. The method includes, for each recipient, determining a score indicative of an appropriateness of the selected attachment being distributed to the recipient based on the recipient information of the recipient and the context of the selected attachment. The method includes, as a result of the score for a select one of the recipients satisfying a scoring threshold, distributing the attachment to the selected recipient via the email.

Abstract: In one embodiment, a method of evaluating a term in a patent-related document includes receiving a selected term, generating one or more variant suggestions related to the selected term, displaying the one or more variant suggestions, receiving one or more selected variant suggestions from the one or more variant suggestions, and associating the one or more selected variant suggestions with the selected term. In another embodiment, a method of evaluating a term in a patent-related document includes displaying a list of terms appearing in a first patent-related document and a second patent-related document, displaying a graphical representation of whether or not individual terms in the list of terms appear in the first patent-related document or the second patent-related document, and receiving a selected term from the list of terms. The method further includes displaying one or more variant suggestions related to the selected term.

Abstract: Systems and methods are provided for managing objects. In one implementation, a computer-implemented method is provided. The method includes receiving a query comprising a tag and executing the query. An object identifier is retrieved from a data table, based on the tag. The method further returns a result of the query. The result includes the object identifier that was retrieved from the data table. The method further performing an action related to an object having the retrieved object identifier.

Abstract: A process adapts user-initiated search queries. The process executes at a client device with a microphone. The process downloads audio fingerprints from a remote server for a plurality of video programs, and downloads information that correlates the audio fingerprint to the video programs. The audio fingerprints are preselected according to relevancy criteria, including stored user preferences and prior search queries by the user. The audio fingerprints and correlating information are stored locally. The process detects ambient sound using the microphone and computes one or more sample audio fingerprints from the detected ambient sound. The process matches a sample audio fingerprint to a locally stored audio fingerprint and uses the correlating information to identify a first video program corresponding to the matched sample audio fingerprint. The process then receives user input to initiate a search query. The process provides auto-complete suggestions for the search query based on the first video program.

Abstract: Example embodiments that analyze images to characterize aspects of the images rely on a same neural network to characterize multiple aspects in parallel. Because additional neural networks are not required for additional aspects, such an approach scales with increased aspects.

Abstract: Methods, products and apparatus are provided for hypotheses generation using searchable unstructured data corpus. In one method, a query is generated based on at least one attribute of at least one instance in a dataset. The query is provided to a search engine searching in an unstructured data corpus. An hypothesis for the database is based on a new attribute whose value is defined based on the one or more results. Another method comprises obtaining a set of keywords from a plurality of hypotheses extracted from a database. A query is generated based on an attribute of an instance in the dataset, where the attribute corresponds to an hypothesis. A search engine executes the query to provide results which are used to augment an instance with a new attribute, where a value of the new attribute is computed based on the one or more results.

Abstract: A method and system of language independent iterative learning mechanism for Natural Language Processing (NLP) tasks is disclosed. The method includes identifying at least one NLP feature associated with a set of words within a sentence for an NLP task. The method includes creating a pattern associated with the sentence for the NLP task, based on the at least one NLP feature associated with the set of words and the linkage relationship between each subset of two adjacent words. The method further includes computing a confidence score corresponding to the pattern, based on a comparison within a trained dataset. The method further includes assigning a pattern category to the pattern, based on the confidence score and a predefined threshold score. The method further includes executing the NLP task based on the assigned pattern category.