Abstract: A method is described as implemented in a mobile device having a lock screen wallpaper, where, when the mobile device is at a business location, a user of the mobile device is authenticated non-invasively (e.g., utilizing the camera of the mobile device, using facial recognition, utilizing the camera of the mobile device and authenticating via facial recognition, etc.). Upon successful authentication, a scanning code is displayed over a lock screen wallpaper of the mobile device, where power is conserved in the mobile device by providing the scanning code without having to unlock the mobile device.

Abstract: At a network-accessible artificial intelligence service for generating content-based recommendations based on multi-perspective learned descriptors, text sections associated with a plurality of description perspectives, including a single-character perspective and a multi-character perspective, are extracted from various text sources. Using the text sections as input, a machine learning model which includes respective portions corresponding to the different perspectives is trained to reconstruct the input using intermediary descriptors learned from the input. An indication that a second text source is recommended with respect to a first text source is generated using a set of the learned descriptors and transmitted.

Abstract: A document processing method and device are provided. The method includes: acquiring a template of a standard format document, the template including folders having a hierarchical structure, generating folder labels corresponding to the folders on the basis of the folders, acquiring a document to be processed, generating a document label of the document to be processed on the basis of the document to be processed, determining whether there is a folder label matched with the document label of the document to be processed, and associating the document to be processed with the folder corresponding to the matched folder label in a case that there is the folder label.

Abstract: Communication session data pertaining to a first user can be received during an electronic communication session in which the first user and at least a second user participate. The communication session data can be analyzed. Based on the analysis, a concentration level score of the first user can be determined. A contextual indicator indicating the concentration level score of the first user can be generated. The contextual indicator can be communicated to a second client device used by the second user. Communicating the first contextual indicator to the second client device can initiate the second client device to present, in a user interface used by the second user for the communication session, a first user interface element indicating the concentration level score of the first user.

Abstract: Methods, systems, and computer programs are presented for validating if an email address is a valid email address. The validation includes a combination of rules-based heuristics (e.g., non-existing domain name) and a validity score calculated by a machine-learning model. The machine-learning model makes predictions based on the training data set that includes historical information about email addresses. The information obtained from the rules and the validity score is combined to determine the probability that the email address is a valid email address.

Abstract: An information processing apparatus includes a memory and a processor coupled to the memory. The processor is configured to accumulate, for each user, satisfaction information that represents whether users who make requests are satisfied with responses received from service providing functions to the requests, to the memory. The processor is configured to identify, for each user, a service providing function from which each user receives a response that has a degree of satisfaction that meets a predetermined condition among the service providing functions based on the satisfaction information accumulated in the memory. The processor is configured to determine, for each user, the identified service providing function as a preferential service providing function that is preferentially used at a time of generating a response to a request from each user.

Abstract: Method and systems for parallel scoring an ensemble model are provided. Aspects include loading data into a first distributed data structure having a plurality of partitions, each partition having loaded data in the form of a set of pairs of data formed of a record to be scored and a partial score for that record. A component model in the ensemble model is selected and processing of the records carried out in parallel across the partitions including updating the partial score for each record. In response to a partial score for a record not meeting an accuracy threshold, the method retains the record in the first distributed data structure to be scored by a subsequent component model. In response to the partial score for a record meeting the accuracy threshold, the method moves the record and updated partial score to an output result data structure to provide a final score.

Abstract: In accordance with an embodiment, described herein is a system and method for determining and displaying a list of suggested search items for a search field based on prior user interaction. A suggestion curator provided at a client device can display a plurality of suggested search items to a user who is performing a search. The system can display the plurality of suggested search items in an order that is based on a rating associated with each item. The rating can be assigned to each search item upon its selection by the user, and adjusted in response to subsequent search item selections by the user. The system can be configured to adjust each rating by different amounts based on metadata describing how recently the search item was last selected by the user. The system can then re-order the plurality of suggested search items in accordance with the adjusted ratings.

Abstract: The present invention extends to methods, systems, and computer program products for computing features of structured data. Aspects of the invention include computing features of table components (e.g., of rows, columns, cells, etc.). Computed features can be used for ranking the table components. When aggregated, features for different components of a table can be used for ranking the table (e.g., a web table).

Abstract: The present disclosure is drawn to methods and systems for providing a representative image for a search result in a search result listing of a searching system. At least one search result based on a search query is received. Each search result has a plurality of images. For each search result, a similarity score for at least some of the images is computed, based on a similarity with the search query. Then, at least one of the images is selected, on the basis of the similarity score, and the selected image is assigned as the representative image of the search result. A number of modification steps may be performed on the search result prior to computing the similarity score. The search result and assigned representative image may also be presented in a search result listing.

Abstract: A music-based social networking application for computers and mobile devices displayed on a user interface that provides users with a variety of social networking tools and functions. The user interface displays media content shared by associated users on the user interface. The application allows users to pair their own video/photos to musical works available on any streaming source to share within the app or on external media outlets. The application connects data through the use of a server and media is either streamed from server-held content or an external streaming source. A user's social activity is stored in the server and music listening history in app or on external streaming source is made available to said user for later use. The application utilizes a proprietary algorithm that suggests music and users based on actual in app activity and music/media play history.

Abstract: A data search method for computer forensic investigation comprising: inputting at least one pre-determined search term; searching a computer or digital device that is powered on in a forensically sound state for data matching one or more of the pre-determined search terms to identify target data from any of file names; strings; hash values or hash functions; installed programs; MAC and IP addresses; and/or metadata; and categorising the target data according to a pre-determined list of categories, wherein the categories are different to the search term/s and; wherein the data search method simultaneously searches for target data and categories the target data.

Abstract: 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.

Abstract: Disclosed herein are system, method, and computer program product embodiments for providing an image search training system. An embodiment operates by determining a query image on which to train an image search system, and a positive image visually similar to the query image. A set of negative images from a plurality of negative images visually dissimilar to the query image are selected, where the selected set of negative images includes both a first negative image and a second negative image. A first similarity measure between the first negative image and the positive image, and a second similarity measure between the second negative image and the positive image are calculated. The first negative image is selected based on the first similarity measure being less than the second similarity measure. The query image, the positive image, and the first negative image are provided to the image search system for training.

Abstract: An apparatus and computer implemented method that include obtaining, into a computer, text of a patent, automatically finding and extracting, using the computer, a set of claim text from the patent text, identifying, using the computer, text of independent claims from the set of claim text, displaying in a first row on a computer monitor the text of the independent claims, automatically determining a plurality of preliminary scope-concept phrases from the text of the independent claims, displaying in a second row on the computer monitor the text of the plurality of preliminary scope-concept phrases, eliciting and receiving user input to specify a first one of the plurality of preliminary scope-concepts phrases, and highlighting each occurrence of the specified first one of the plurality of preliminary scope-concept phrases in a plurality of the independent claims displayed in the first row. A scope concept builder tool is also provided.

Abstract: A system includes one or more memory devices storing instructions, and one or more processors configured to execute the instructions to perform steps of a method for providing customer sentiment depiction. The system may receive customer information and session information and generate a customer sentiment estimate. The system may then receive an indication of a detected customer voice characteristic and generate an updated customer sentiment estimate that may be transmitted to a customer service terminal for display.

Abstract: A system and method for data recovery of large datasets is provided. The method may include generating a first version of a dataset having a plurality of segments. The first version may be generated by collecting a plurality of data inputs from a plurality of computing devices and storing these in a map. The method may further include generating a first delta map corresponding to changes in the plurality of segments for a second version of the dataset, wherein the second version is one of a plurality of versions of the dataset generated after the first version. In addition, the method may include generating a second delta map corresponding to changes in the plurality of segments for all versions prior to the second version. Further, the method may include generating a recovered version of the dataset by summing the first version, the first delta map, and the second delta map.

Abstract: Techniques for incorporating social-network connections information into estimated user-ratings of videos for video recommendations are described. A user-rating that a user is likely to assign to a video is predicted based on first and second predictions. The first prediction is based on ratings assigned to the video by a first set of users who have rated other videos with ratings substantially similar to the user's ratings of the other videos. The second prediction is based on ratings assigned to the video by a second set of users who have established social-network connections with the user and who have rated at least one same video that the user has previously rated. Additionally, the estimated user-rating is added to additional estimated user-ratings of other videos for comparison, and top-rated videos are identified. Then, a notification is communicated via a client device of the user to recommend the top-rated videos to the user.

Abstract: A virtual assistant receives a message including message content from a client device. The virtual assistant determines an intent to organize an event and initial parameters for the event based on the message content. The virtual assistant retrieves a set of messages related to the received message from a data store and refines the initial parameters based on the related messages. A set of potential recommendations is generated based on the refined event parameters and the virtual assistant selects one or more of the potential recommendations to surface to users. The selected recommendations are sent to the client device for presentation to the user.

Abstract: Certain aspects of the present disclosure provide techniques for providing assistance to users by integrating social computing system with conversational user interface. In some cases, a user interacting with a virtual assistant of a conversational user interface provides input that the virtual assistant is not able identify a matching intent. As a result, the virtual assistant can leverage the social computing system to generate a new question based on the user input and post the question to the social computing system. Users of the social computing system can provide an answer, which the virtual assistant provides to the user in the conversational user interface. The social computing system can also generate a new intent for the virtual assistant to increase efficiency of the virtual assistant.

Abstract: In particular embodiments, a Cross-Border Visualization Generation System is configured to: (1) identify one or more data assets associated with a particular entity; (2) analyze the one or more data assets to identify one or more data elements stored in the identified one or more data assets; (3) define a plurality of physical locations and identify, for each of the identified one or more data assets, a respective particular physical location of the plurality of physical locations; (4) analyze the identified one or more data elements to determine one or more data transfers between the one or more data systems in different particular physical locations; (5) determine one or more regulations that relate to the one or more data transfers; and (6) generate a visual representation of the one or more data transfers based at least in part on the one or more regulations.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby a collaborative data layer and associated logic facilitate, for example, efficient access to, and implementation of, collaborative datasets. In some examples, a method may include receiving a dataset and dataset attributes and identifying a first version of the dataset. The method may include identifying data that varies from a first version of the dataset, and generating a second version of the dataset to include a first subset and a second subset of atomized data. The method may include storing subsets of atomized data points as an atomized dataset.

Abstract: A server, method, and non-transitory computer readable medium for ranking a plurality of data sources are provided. The server includes a network interface, a memory storage unit and a processor. The method involves receiving an input query, identifying entities of the input query using conditional random fields, generating a normalized query and applying a support vector machine to the normalized query. The non-transitory computer readable medium is encoded with programming instructions to direct a processor to carry out the method.

Abstract: A method of identifying domain-specific accounts is provided. A method may include identifying a plurality of candidate accounts based on a plurality of seed accounts. The method may further include identifying a subset of candidate accounts of the plurality of candidate accounts based on one more account statistics. Further, the method may include clustering each candidate account of the subset of candidate accounts into either a non-domain-specific cluster or a domain-specific cluster based on a plurality of account statistics. The method may also include updating, at least one of the plurality of candidate accounts and the plurality of seed accounts based on at least one of the non-domain-specific cluster and the domain-specific cluster.

Abstract: In implementations of a participant engagement detection and control system for online sessions, a computing device implements a participant engagement system to monitor user actions of participants during an online session, and track engagement levels of the participants by mapping the user actions and content of the online session to a timeline of the online session. Engagement scores for the participants are determined based on the mapping of the user actions and the content at each time interval of the timeline. Low-engagement participants having a probability of dropping out of the online session are determined based on the engagement scores. Engaging content is selected as determined to increase an engagement level of the low-engagement participants, and the engaging content is communicated to the low-engagement participants. Furthermore, the engaging content and identifiers of the low-engagement participants can be communicated to a presenter of the online session.

Abstract: The disclosure relates to dynamically selecting a radius threshold for a device. The system identifies, based on sensor data detected by a sensor of the device, a location of the device. The system generates a feature representation for each of a plurality of features based on a query input into the device, the location of the device, and a plurality of entity locations corresponding to the query. The system accesses a data structure storing optimum radii correlated with a presence of the plurality of features and a corresponding performance metric based on network activity. The system determines the radius threshold based on the optimum radii and the plurality of features. The system identifies an eligible entity location having a distance from the device that is within the radius threshold. The system selects, for display on the device, a content item for the eligible entity location.

Abstract: A system includes reception, at a target database system, of a request to recover a backup created by a source database system into the target database system, where the request comprises a system identifier of the source database system, determination of a backup tool configuration file associated with the source database system based on the system identifier of the source database system, request of a recovery of the backup into the target database system using the backup tool configuration file, copying of a backup catalog of the source database system into a storage location associated with the target database system, and appending of a system change marker to the copied backup catalog, wherein the system change marker comprises the system identifier of the source database system.

Abstract: Formation of connected interest groups in communication threads is described. According to the computer-implemented method, a number of communications within a communication thread that reflect a similar sentiment related to a topic are detected. A level of connectedness of authors of a set of the number of communications is determined and a connected interest group is formed. The connected interest group includes authors with a level of connectedness greater than a predetermined threshold. An indication of the connected interest group is then provided.

Abstract: In general, techniques are described to determine engagement scores representative of a level of engagement in a digital domain for a particular sub-category within the common category of entities on a social media platform. In accordance with these techniques, a computing system is configured to receive, from one or more client devices, messages composed by one or more users of the one or more client devices. Each of the messages includes a respective identifier, and each respective identifier is associated with a common category of entities. The computing system is further configured to determine, based on the messages, an engagement score that represents a level of engagement for a particular sub-category within the common category of entities. The computing system is further configured to output, for display at a display device operatively connected to the computing system, a visual representation of the engagement score.

Abstract: According to an embodiment of the present invention, a computer-implemented method of cleansing data is provided that comprises determining a criticality score and a complexity score for identified attributes of an enterprise, wherein the criticality score represents a relevance of an attribute to one or more enterprise dimensions and the complexity score represents complexity of cleansing data for an attribute. The identified attributes for data cleansing based on the criticality and complexity scores are prioritized, and data of the identified attributes is cleansed in accordance with priority of the identified attributes. Embodiments further include a system, apparatus and computer readable media to cleanse data in substantially the same manner as described above.

Abstract: A digital content distribution system associated with disseminating discrete epochs of digital content based at least on creation of a zip span polygon region is disclosed. The system receives zip code information associated with a bounded geographical region of interest and a zip spanning distance related to the bounded geographical region of interest. The system determines longitude information values and latitude information values associated with coordinate boundary values of a portion of the zip code information based on the zip spanning distance. The system further determines at least one neighboring geographical region contiguous with the geographical region of interest using the longitude and latitude information values. A zip span polygon region is created that includes at least a portion of an initial zip span region associated with the geographical region of interest in order to disseminate the discrete epochs of the digital content in the digital content distribution system.

Abstract: In one embodiment, a computer system provides a document for display in a non-browser application of a client device of a user associated with a social-networking system, wherein the application is associated with the social-networking system, a layout of the document corresponds to a first document template, and the document includes content items corresponding to elements, wherein each element is a container for a content item, and information corresponding to characteristics of users of the social-networking system. The computer system determines a characteristic associated with a user, wherein the characteristic is associated with a preferred layout based on a type of content item associated with each element. The computer system selects an alternate document template based on the characteristic, including a set of elements. The computer system provides the document with content items corresponding to the set of elements and configured in accordance with the alternate document template for display.

Abstract: Methods and systems privatize a dataset while controlling discoverability of patterns of the dataset. In an embodiment, values are assigned to discoverable patterns of a dataset. Privacy constraints are determined to privatize the dataset. Pattern constraints are determined to preserve a first set of patterns of the dataset and to conceal a second set of patterns of the dataset. A model is generated to satisfy all of the privacy constraints and a subset of the pattern constraints that do not conflict with the privacy constraints, with minimal loss of data. The dataset is modified based on the model. Discoverable patterns of the modified database are determined from the subset of privacy constraints. And a monetary value of the modified dataset is determined based on the patterns that remain discoverable in the modified dataset.

Abstract: A method of operating a resource configuration and project management system involves identifying, for a project, sandboxed task data and task parameters including project skill sets and project tools. The method configures a first selector with project skill sets to select at least one developer from a developer pool. The method configures a second selector with project tools to select at least one container including at least one set of programming functions from a container library. The method assigns at least one developer to a working task queue generated from the task parameters. The method configures the at least one container to operate as a sandboxed environment. The method authorizes the at least one developer to access the at least one container and the sandboxed task data within the sandboxed environment. The method monitors developer resources and computing resources during execution of the project by the selected at least one.

Abstract: An approach to improving system availability. Availability data for individual resources may be obtained from configuration templates and stored in an Availability Graph. The graph is traversed to calculate availability statistics at a grouped component and at an overall architecture level and grouping components level. Revisions may be made to enhance overall availability levels, and the revised Availability Graph can also be exported as an implementable configuration file. As a result, this solution provides a structured way to detect and resolve availability bottlenecks.

Abstract: A media content tagging system includes a computing platform having a hardware processor, and a system memory storing a tag selector software code configured to receive media content having segments, each segment including multiple content elements each associated with metadata tags having respective pre-computed confidence scores. For each content element, the tag selector software code assigns each of the metadata tags to at least one tag group, determines a confidence score for each tag group based on the pre-computed confidence scores of its assigned metadata tags, discards tag groups having less than a minimum number of assigned metadata tags, and filters the reduced number of tag groups based on the second confidence score to identify a further reduced number of tag groups. The tag selector software code then selects at least one representative tag group for a segment from among the further reduced number of tag groups.

Abstract: An approach is provided for automatically predicting an event occurrence based on a question from an end user presented using a near-real-time natural language processing (NLP) analysis to generate, score and rank a plurality of event occurrences based on a plurality of question context parameters extracted from the question, one or more user profile parameters for the end user, and the one or more historical questions, answers, and events having a specified spatial and/or temporal proximity to the question which are identified by an information handling system. In the approach, performed by an information handling system, a top ranked event occurrence from the ranked plurality of event occurrences is selected for inclusion in a notification message that is communicated or broadcast to the end user, as well as other users engaged with the information handling system and/or first responders in the affected area.

Abstract: An artificial intelligence apparatus includes an input processor configured to convert input information to patterns, an analyzer configured to analyze the input information, a recorder configured to record the information, a controller configured to perform at least one of a development of a process according to a type of a sentences and an intention, a search for information and a logic development to solve a problem, an execution of a process and activating a program, a generalization of information and a procedure, an update to a better knowledge and a logic, a search and an arrangement of information about an interesting field and an item, recording and updating of information, connective relations and relationship, and a transition control between information to a goal and an output processor configured to convert the patterns to information or control signals.

Abstract: A system with methodology for dynamic modular ontology. In one embodiment, for example, a method comprises: receiving a command from an analyst to create a new ontology module; receiving, from the analyst, a selection of a first ontology module to import into the new ontology module; receiving, from the analyst, a selection of a second ontology module to import into the new ontology module; detecting an ambiguous data type definition conflict between a first definition of a data type in the first ontology module and a second definition of the data type in the second ontology module; generating a third definition of the data type reflecting a resolution of the ambiguous data type definition conflict; and storing, in a data container, the new ontology module comprising the third definition of the data type.

Abstract: Systems and methods for a translation management system include performing a source text collection and translation process. The source text collection and translation process includes collecting, from one or more applications, one or more source texts for translation. Source segments for translation are determined using the one or more source texts. Source text properties associated with the one or more source texts are provided to a machine learning engine. Translation performance requirement predictions associated with the plurality of source segments respectively are generated by the machine learning engine based on the source text properties. A plurality of translation requests associated with the plurality of source segments is provided by the machine learning engine based on the translation performance requirement predictions. One or more translated texts generated in response to executing the plurality of translation requests are received.

Abstract: A device can receive a search query. The search query can relate to a geographic location. The device can process the search query to parse the search query into a plurality of strings. The plurality of strings can include text. The device can determine that one or more strings, of the plurality of strings, satisfy a condition. The device can generate, using the plurality of strings, a query graph that includes a plurality of paths relating to the condition. The query graph can further include a plurality of nodes leading to and/or included in the plurality of paths, and a plurality of transitions between the plurality of nodes. The device can perform one or more actions relating to the query graph to obtain, from a data structure, one or more search results that correspond to the search query.

Abstract: A stress alleviation system, includes: a biological sensor measuring first biological data of a customer boarding transportation; an action application apparatus provided to a transportation seat and applying an action to the customer for alleviating a stressed state of the customer sitting on the seat; a stress data saver previously saving specific stress data where a customer identifier identifying the customer and a second stress indicator calculated using second biological data measured in past boarding of the customer are associated; a stressed state assessor assessing whether the customer is in the stressed state by calculating a first stress indicator of the customer on board using the first biological data of the customer, and by comparing the first stress indicator with the second stress indicator; and an action controller transmitting a control signal causing the action to the action application apparatus when the customer is assessed as in the stressed state.

Abstract: A query method and apparatus. A specific implementation of the method comprises: acquiring a target historical query statement from a historical query statement collection; extending the target historical query statement based on a query log to generate an extended statement fragment associated with the target historical query statement; adding the extended statement fragment, as a statement fragment characteristic associated with the target historical query statement, into a statement fragment characteristic library of a preset model; and generating a query result corresponding to a query statement based on the statement fragment characteristic library of the preset model in response to receiving the query statement. According to an embodiment of the present disclosure, the extended statement fragment is added, as the statement fragment characteristic associated with the target historical query statement, into the statement fragment characteristic library of the preset model.

Abstract: A method for managing health care patient record data including: associating, by a processor, native health care patient record data of a first patient stored in a database to a plurality of data fields, wherein the native health care patient record data of the first patient represents the first patient's health care record; assigning, by a processor, a relative importance weight score to each of the plurality of data fields; and generating, by a processor, a record strength score of the first patient's health care record based on the relative importance weight score assignments. The record strength score indicates a percentage of the first patient's health care record that contains important native health care patient record data.

Abstract: A computer-implemented method includes creating a classifier by: training a machine learning model using two or more tasks, wherein the tasks lie in two or more domains; including in the machine learning model at least one attribute common to at least two of said two or more domains; including in the machine learning model at least one latent feature that affects at least two of the two or more tasks that fall within one of the at least two domains; and constructing the classifier based on said machine learning model. The computer-implemented method further includes applying the classifier to at least one operational task.

Abstract: Constructing a user's face model using particle filters is disclosed, including: using a first particle filter to generate a new plurality of sets of extrinsic camera information particles corresponding to respective ones of a plurality of images based at least in part on a selected face model particle; selecting a subset of the new plurality of sets of extrinsic camera information particles corresponding to respective ones of the plurality of images; and using a second particle filter to generate a new plurality of face model particles corresponding to the plurality of images based at least in part on the selected subset of the new plurality of sets of extrinsic camera information particles.

Abstract: A computer-implemented method includes creating a classifier by: training a machine learning model using two or more tasks, wherein the tasks lie in two or more domains; including in the machine learning model at least one attribute common to at least two of said two or more domains; including in the machine learning model at least one latent feature that affects at least two of the two or more tasks that fall within one of the at least two domains; and constructing the classifier based on said machine learning model. The computer-implemented method further includes applying the classifier to at least one operational task.

Abstract: A system for detecting a conflict of interest between entities includes a server and a database. The server defines categories and stores information at the database arrangement. A category to be evaluated is selected for detecting whether or not two given entities have a conflict of interest. A tree structure is created with the category and child and descendent categories of the category. The category and the child and descendent categories are hierarchically arranged as nodes of the tree structure. For the two given entities a conflict potential value is computed for each node of the tree structure. A conflict index value based upon the conflict potential value of that node for each of the two given entities is computed. A conflict of interest between the two given entities is detected if the conflict index value (c) of a node of the tree structure matches at least one predefined criterion.

Abstract: A computer-implemented method for building an object index used for retrieving an object matching a given query is disclosed. In the method, the computer system initializes a set of clusters, each of which represents at least one base object of a collection. The computer system also enumerates one or more additional clusters by combining multiple clusters from among the set. Each additional cluster represents at least one combinatorial object that has two or more base objects of the collection. The computer system further selects a new set of new clusters by clustering the set of the clusters and the one or more additional clusters, in which each new cluster represents at least one base or combinatorial object. Then, the computer system builds an object index based on the centers of the new clusters such that the object index covers the combinatorial object as a target of retrieval.

Abstract: Users are most likely to search for documents “around” them, such as documents which are created, read, or modified by other users they work closely or collaborate with, documents on sites the user frequents, and/or documents trending around them, in addition to documents they've created or interacted with themselves. Therefore, embodiments are directed to relevance ranking of query results based on external context. A search service may receive a query and an external context list, determine a relevance value for each entry in the external context list, and perform the query, where a search index comprising items may be returned in response to performance of the query. The search service may then match entries in the external context list against associated properties of the items, compute a score for the items based on the matching, and rank results of the query based on the score computed for the items.