Abstract: A smart window device includes: a window that is transparent and displays an effect image; a request receiver that receives, from a user, a stop request or a change request for the display of the effect image; a data acquirer that acquires effect image data indicating the effect image reflecting a preference of the user learned based on a length of time from a start of displaying the effect image until the request receiver receives the stop request or the change request and a type of an object; and a controller that: when a sensor detects the object, determines the type of the object based on a detection result of the sensor, selects an effect image to be displayed on the window from among the effect image data, based on the type of the object determined, and causes the effect image to be displayed on the window.

Abstract: A method of disambiguating user intent in conversational interactions for information retrieval is disclosed. The method includes providing access to a set of content items with metadata describing the content items and providing access to structural knowledge showing semantic relationships and links among the content items. The method further includes providing a user preference signature, receiving a first input from the user that is intended by the user to identify at least one desired content item, and determining an ambiguity index of the first input. If the ambiguity index is high, the method determines a query input based on the first input and at least one of the structural knowledge, the user preference signature, a location of the user, and the time of the first input and selects a content item based on comparing the query input and the metadata associated with the content item.

Abstract: Disclosed are a distributed database preprocessing method, a database proxy layer, a system and a non-transitory computer-readable storage medium. The distributed database preprocessing method, applied to a database proxy layer, may include: receiving a request corresponding to a prepared statement; and performing processing according to the request corresponding to the prepared statement and a session identifier cached in a prepared statement cache library, a session corresponding to the session identifier cached in the prepared statement cache library is a prepared statement session where a connection is successfully established between a client and a database.

Abstract: A method includes obtaining time information of a target area, determining a first color of a digital clock based on the time information, where the digital clock displays a time in a screen-off state, and displaying the digital clock on a display screen of a terminal device when the terminal device is in the screen-off state, where the first color is a second color when the time displayed by the digital clock is a first moment, where the first moment is in a first time interval, where the first color is a third color when the time displayed by the digital clock is a second moment, where the second moment is in a second time interval, where the first time interval is different from the second time interval, and where the second color and the third color are different colors.

Abstract: The disclosure relates generally to knowledge retrieval using ontology-based context matching. Conventional knowledge retrieval methods and systems are based on generative context that is modeled loosely as some meta data annotations. The meta data annotations do not provide sufficient semantic basis for meaningful context matching, compromising safety aspect. Other typical systems are designed such that the context is encoded into knowledge elements themselves, thus matching is too strict and the knowledge can only be used in contexts that match exactly, compromising the reuse aspect. The disclosed method and system explicitly models the context in which knowledge is generated, and matches the problem context with the generative context of knowledge, with respect to the underlying domain ontology, to assess the degree of similarity between the two, which then provides the basis for ranking the suitability of different knowledge elements for the problem context.

Abstract: A method includes defining model attributes of a machine model that organizes feedback data into topic groups based on similarities in concepts in the feedback data. The model attributes include a topic model number that defines how many topic groups are to be created, a hyperparameter optimization alpha value, and/or a hyperparameter optimization beta value. The method also includes generating the machine model using the model attributes that are defined and the feedback data, and applying the machine model to the feedback data to divide different portions of the feedback data into the different topic groups based on contents of the feedback data, the topic model number, the hyperparameter optimization alpha value, and/or the hyperparameter optimization beta value.

Abstract: A method, computer system, and a computer program product is provided for generating a detailed thumbnail and/or preview of a content. In one embodiment the technique comprises analyzing data obtained from a content and classifying it according to a plurality of specific types. A plurality of key information may be then extracted from the data according to the classification. A plurality of key-values are correlated to the plurality of key information so as to provide a plurality of key-value pairs. These pairs are consolidated accordingly to generate a thumbnail and/or a preview that at least renders the key information provided by the consolidated key-value pairs as a rendering.

Abstract: In an embodiment, a database platform receives a query that is directed at least in part to external data in an external table stored on a data storage platform that is external to the database platform. The external table includes a plurality of partitions. The database platform identifies, from external-table metadata, a subset of the plurality of partitions of the external table as including data that potentially satisfies the query. The external-table metadata is stored by the database platform. The database platform identifies data that satisfies the query by scanning the identified subset of the partitions, and responds to the query at least in part with the identified data that satisfies the query.

Abstract: In an example embodiment, text is received at an ecommerce service from a first user, the text in a first language and pertaining to a first listing on the ecommerce service. Contextual information about the first listing may be retrieved. The text may be translated to a second language. Then, a plurality of text objects, in the second language, similar to the translated text may be located in a database, each of the text objects corresponding to a listing. Then, the plurality of text objects similar to the translated text may be ranked based on a comparison of the contextual information about the first listing and contextual information stored in the database for the listings corresponding to the plurality of text objects similar to the translated text. At least one of the ranked plurality of text objects may then be translated to the first language.

Abstract: An active layer of the index includes a first shard group, and shards in the first shard group are configured to store indexes of a part of data objects in a streaming storage system. In response to determining that the state of the first shard group meets a predetermined expansion condition, a second shard group is created in the index, and shards in the second shard group are configured to store indexes of data objects that will enter the storage system. The storage system is managed based on the shards in an active layer (where the second shard group is located) and frozen layers (where the second shard group) in the index. The number of shards in the storage system can be dynamically set to process streaming data at a relatively high speed, and it is suitable for processing streaming data that continuously enters the storage system.

Abstract: The disclosed techniques in artificial intelligence include at least a system and a computer-implemented method for performing a predictive search that compensates for a misclassification. For example, the system can set a user-defined classification of a physical characteristic of the user and retrieve an image captured by a camera device. The system can aggregate binary feedback data submitted by authorized users about the image, predict a classification for the physical characteristic by processing the image with a machine learning (ML) process, and search a database based on a query, which has criteria that includes an indication of the aggregate binary feedback data, the user-defined classification, the predicted classification, and/or data indicative of the user's feedback. The system can then identify a search result that satisfies the query and cause a user device to display a recommendation that includes the search result.

Abstract: Certain aspects provide a method for determining a solution to a combinatorial optimization problem, including: determining a plurality of subgraphs, wherein each subgraph of the plurality of subgraphs corresponds to a combinatorial variable of the plurality of combinatorial variables; determining a combinatorial graph based on the plurality of subgraphs; determining evaluation data comprising a set of vertices in the combinatorial graph and evaluations on the set of vertices; fitting a Gaussian process to the evaluation data; determining an acquisition function for vertices in the combinatorial graph using a predictive mean and a predictive variance from the fitted Gaussian process; optimizing the acquisition function on the combinatorial graph to determine a next vertex to evaluate; evaluating the next vertex; updating the evaluation data with a tuple of the next vertex and its evaluation; and determining a solution to the problem, wherein the solution comprises a vertex of the combinatorial graph.

Abstract: An information processing system includes a number of field devices provided in a plant and a mobile device that acquires data from the field devices. The mobile device includes a data management unit that manages the field devices that are grouped for each plant area and a processing unit that acquires data using wireless communication from, out of the field devices managed by the data management unit, the field devices provided in the plant area selected by user operation.

Abstract: Systems and methods of the disclosure include: submitting, by a processing device, a plurality of queries to a database associated with an application, wherein each query of the plurality of queries comprises a request for one or more records from the database; determining a period of time for executing each query of the plurality of queries; and executing each query of the plurality of queries, wherein executing each query comprises returning a set of portions of the one or more records within the period of time.

Abstract: Techniques are described herein for identifying a failed hotword attempt. A method includes: receiving first audio data; processing the first audio data to generate a first predicted output; determining that the first predicted output satisfies a secondary threshold but does not satisfy a primary threshold; receiving second audio data; processing the second audio data to generate a second predicted output; determining that the second predicted output satisfies the secondary threshold but does not satisfy the primary threshold; in response to the first predicted output and the second predicted output satisfying the secondary threshold but not satisfying the primary threshold, and in response to the first spoken utterance and the second spoken utterance satisfying one or more temporal criteria relative to one another, identifying a failed hotword attempt; and in response to identifying the failed hotword attempt, providing a hint that is responsive to the failed hotword attempt.

Abstract: The disclosed search engine and search engine system apply a variety of criteria to find specific information within a full-text dataset, even when its user cannot recall the exact text or exact spelling of the desired information. The criteria cause retrieval of text not only when the sequence of words in the query matches the sequence of words in the text identically but also when the difference between sequences is that one of the words in a sequence is missing, added, replaced, or replaced with a synonymous word or a word having phonetic similarity. Another criterion is that the two words in the query sequence differ in order from the two words in the text sequence to be retrieved. The above criteria are applied after stop list words are disregarded. The search engine accordingly enables a user to find text more easily in large full-text datasets by inexact text searching.

Abstract: Computerized systems and methods facilitate searches by identifying instances in which search input is an ambiguous query and resolving the ambiguous query. The search system identifies ambiguous queries by querying a common data store prior to querying a patient database. More particularly, when the search system receives search input entered into a search tool, the search system queries the common name data store before querying the patient database to determine if the search input matches a common name and is an ambiguous query. If so, the search system may provide a notification to the user to indicate the search input is an ambiguous query with a common name and prompt the user to enter additional search criteria. In some instances, the search system may prevent a search from being performed on the patient database if the search input matches a common name until additional search criteria is entered.

Abstract: Systems and methods for predicting risk for a medical event associated with evaluating or treating a patient for a disease are provided. Input medical imaging data and patient data of a patient are received. The input medical imaging data includes abnormality patterns associated with a disease. Imaging features are extracted from the input medical imaging data using a trained machine learning based feature extraction network. One or more of the extracted imaging features are normalized. The one or more normalized extracted imaging features and the patient data are encoded into features using a trained machine learning based encoder network. Risk for a medical event associated with evaluating or treating the patient for the disease is predicted based on the encoded features.

Abstract: An information processing device, an information processing method, a computer readable storage medium are provided. The information processing device comprises processing circuitry configured to: construct, for each of a plurality of indexes, a sample unit set for the index based on a plurality of minimum labeled sample units related to the index which are obtained and labeled from an original sample set; and extract, for at least a part of the constructed plurality of sample unit sets, a minimum labeled sample unit from each sample unit set, and generate a labeled training sample based on the extracted minimum labeled sample unit. A sample unit set is constructed based on minimum labeled sample units that are labeled manually, and a labeled training sample is generated automatically based on such sample unit sets, thereby generating the labeled training sample automatically to a certain degree, and reducing manual participation.

Abstract: Discovering second-order documents and latent custodians in an e-discovery system is provided. A list of first-order documents and document custodians within a base state of the e-discovery system are identified based on a plurality of terms corresponding to a meet and confer practice for a legal matter instance. The plurality of terms is masked within the first-order documents. The first-order documents having the plurality of terms masked are divided into groups. A list of second-order documents is generated from a group of documents. A list of second-order document custodians is generated based on corresponding custodian relationships to second-order documents. Finally, each second-order document custodian in the list of second-order document custodians that has a corresponding rank exceeding a defined rank threshold level is identified as an official document custodian in the e-discovery system.

Abstract: An indication that data packets of personal data that correspond to data packet types for data categories are approved for transfer between user accounts via the personal data sharing platform is provided. A first data packet identifying first personal data that is related to a first user of the first user account is received. The first data packet includes first personal data values that correspond to first attributes specified by a first data packet type and that have been individually encrypted at first user account. Whether the first data packet satisfies a condition that the first data packet include data values for each of the first attributes specified by the first data packet type for a first data category is determined. Responsive to determining that the first data packet satisfies the condition, the individually encrypted first personal data values and the corresponding first attributes are stored at a data store.

Abstract: In one embodiment, a method is provided. The method includes receiving forecast information from sales people in a computer. The method further includes receiving comments on specific entries of the forecast information from non-sales people in the computer. The method also includes receiving changes of the forecast information from the non-sales people in the computer. The method additionally includes providing a display of the comments and the changes to the sales people in an interface to the computer.

Abstract: A system for providing an artificially-intelligent graph database is disclosed. The graph database has significant graph computing capabilities, which are facilitated through the integration of artificial intelligence into the graph database. The capabilities are enabled through the use of unique artificially-intelligent agents that are each responsible for a subgraph of a graph of the graph database. Each artificially-intelligent agent performs computations on the graph-structured data in each subgraph that each agent is responsible for managing. The artificially-intelligent agents may work cohesively together to provide artificial intelligence capabilities to the entire graph database. The graph database may optimize itself through intelligent local management by using the agents.

Abstract: A database system operates by: receiving a user-generated secondary indexing hint data for a dataset from a client device, wherein the client device generated the user-generated hint data based on user input in response to at least one prompt displayed by an interactive interface displayed via a display device of the client device; generating a plurality of segments that each include distinct subsets of a plurality of rows of a dataset; automatically selecting, for each of the plurality of segments, a secondary indexing scheme from a plurality of secondary indexing options based on the user-provided secondary indexing hint data; generating a plurality of secondary indexes for each of the plurality of segments in accordance with the corresponding secondary indexing scheme; and storing the plurality of segments and the plurality of secondary indexes in memory.

Abstract: An image processing apparatus includes an input device, an operation device, and a control device. The control device functions as a controller. The controller accepts an input of a plurality of topic words through the operation device, recognizes, upon acceptance of input of images of a plurality of pages of the original document through the operation device, a character string in the image of each of the plurality of pages of the original document, makes a determination of whether or not the character string contains at least one of the plurality of input topic words, and classifies the respective images of the plurality of pages of the original document on basis of the individual topic word based on results of the determination for the individual pages of the original document by collecting the images of the pages of the original document containing the same topic word into one group.

Abstract: A graphical user interface allows a customer to specify delimiters and/or patterns that occur in event data and indicate the presence of a particular field. The graphical user interface applies a customer's delimiter specifications directly to event data and displays the resulting event data in real time. Delimiter specifications may be saved as configuration settings and systems in a distributed setting may use the delimiter specifications to extract field values as the systems process raw data into event data. Extracted field values are used to accelerate search queries that a system receives.

Abstract: A machine reading comprehension (MRC) question and answer providing method includes receiving a user question; analyzing the user question; selecting at least one document from at least one domain corresponding to an analyzed user question and searching for a passage, which is a candidate answer determined as being suitable for the user question, in the selected at least one document; obtaining at least one correct answer candidate value by inputting the user question and a corresponding passage into each of at least one MRC question and answer unit; and determining whether the at least one correct answer candidate value is a best answer.

Abstract: A method for managing a data stream includes obtaining attribute information of a currently opened file; and distributing the file to a data stream according to current state information of a plurality of data streams and attribute information of the file.

Abstract: Embodiments described herein provide a system for facilitating dynamic assistance to a user in an augmented reality (AR) environment of an AR device. During operation, the system detects a first element of an object using an object detector, wherein the object is associated with a task and the first element is associated with a step of the task. The system then determines an orientation and an alignment of the first element in the physical world of the user, and an overlay for the first element. The overlay can distinctly highlight one or more regions of the first element and indicate how the first element fits in the object. The system then applies the overlay to the one or more regions of the first element at the determined orientation in the AR environment.

Abstract: Systems and methods according to aspects of the invention verify requests for information over a network. Computing devices communicating over a network transmit numerous signals with various types of information including spatial information, temporal information, device-specific information, and transmission specific information. This information may be used to generate statistical records of valid request for information. Various combinations of these signals may be used to determine whether a request for information is a valid request based on the statistical records associated with the signals. Where a request for information has been verified, the system and method may provide the information. Where the request for information has not been verified, the system and method may deny the request for information. Thus the system and method may be used to prevent and block scraping and spamming attacks.

Abstract: Systems and methods are provided for enhanced processing of time series data via parallelization of instructions. An example method includes receiving a query indicating time series datasets and operations to be performed on the time series datasets. Nodes associated with the query are identified, with each node associated with a time series dataset. Nodes associated with operations to be performed are generated. The nodes are assembled into query tree, with parent nodes of the query tree indicating operations that are to be applied to children nodes. Instructions for processing the query tree are generated. At least a subset of the instructions is provided to one or more compute systems for processing in parallel. Results are received, and presented in a user interface.

Abstract: Disclosed are various embodiments for dynamically generating a search set for use in a search application, such as a search engine, and using the search set to navigate collections of archived content. A request for user interface data is received from a client device in response to the client device attempting to access a domain. The domain may be parsed to identify a search category corresponding to one of the categories stored in a data store. Subcategories and search collections that are associated with the search category are identified and user interface data may be generated that cause at least a portion of the subcategories and search collections associated with a search component to be rendered in a display of the client device. The search component is configured to use a selected one of the at least a portion of the subcategories to narrow a search conducted using the search component by generating a narrowing search query.

Abstract: The present disclosure includes systems and techniques relating to ranking search results of a search query. In general, the subject matter described in this specification can be embodied in a computer-implemented method that includes determining a measure of relevance for a document result within a context of a search query for which the document result is returned, the determining being based on a first number in relation to a second number, the first number corresponding to longer views of the document result, and the second number corresponding to at least shorter views of the document result; and outputting the measure of relevance to a ranking engine for ranking of search results, including the document result, for a new search corresponding to the search query. The subject matter described in this specification can also be embodied in various corresponding computer program products, apparatus and systems.

Abstract: Techniques for identifying a first process in a stream of event data. The techniques include accessing a stored signature for the first process, wherein the signature includes a plurality of features, and wherein the signature specifies a frequency and weight for each of the plurality of features; receiving a stream of event data having a plurality of events; selecting a window of event data that includes a subset of the plurality of events; calculating a first similarity between the signature for the first process and the event data within the window; and identifying the first process in the stream of event data when the first similarity is within a predetermined measure of similarity.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for dynamically managing data associated with transactions of wearable items. For example, a method may include receiving wearable item data from one or more electronic tenant interfaces, hosting an electronic warehouse operations portal and/or an electronic administrative portal, receiving one or more electronic user transactions initiated at one or more user platforms, updating one or more transaction databases and one or more analytics databases, based on the one or more electronic user transactions, receiving one or more wearable item operations requests, initiating one or more microservices to fulfill the one or more wearable item operations requests, and updating at least one of the one or more transaction databases and one or more analytics databases based on completion of the one or more wearable item operations requests.

Abstract: An evolving system of computers linked into a neural network continuously scans and gathers information from, understands, and interacts with, an environment, a client computer program interactively executes software instructions using a subject matter data warehouse to transform input into a search pattern. The evolving system server supercomputer program executes multivariant big data indexing to cherry pick the optimal input and output using page, site and supersite probabilities. The client computer program analyzes the optimal output given a search pattern in order to interact and engage scripted communication with the end user.

Abstract: Systems and methods are provided for optimizing data storage and improving the speed of data retrieval in a data store, such as a storage server connected to a large network through the use of bucketing techniques to create efficient data structures for storing received key-value datasets at one or more storage servers. Fast key-value read requests and key-value retrievals may be accomplished through the use of multiphase lookup operations on the one or more storage servers. The system is optimized for best performance of retrieval through the separation of the write and read mechanisms. Systems and methods provided herein control the level of wastefulness on the back end of a system and reduce read operation inefficiencies on the front end of a system.

Abstract: A song may be matched with information in a song categorization database so that one or more categories associated with the song are identified. Specifically, a method and system for associating one or more advertising categories with a song includes receiving a set of child categories and receiving a wordnet graph. Synsets from the wordnet graph are assigned to function as activators for one or more categories. Next, a set of parent categories relative to the child categories are received. One or more scores are assigned to the parent categories based on their relationships to the child categories. Synsets from a work, such as a song lyric, are compared to the wordnet graph. Relevant child categories are identified based on synsets which match one or more activators. Matching activators are found by using only hypernym relationships between a synset from a work and an activator.

Abstract: The technology disclosed relates to a system. The system comprises a trained multi-label support vector machine running a one-vs-the-rest classifier. The trained multi-label support vector machine running a one-vs-the-rest classifier is configured with trained parameters. The trained parameters are learned from training the trained multi-label support vector machine running the one-vs-the-rest classifier on document features of documents belonging to a plurality of label classes, and hyperplane determinations on label classes in the plurality of label classes. The trained parameters include distributions of distances between the label classes and the hyperplanes.

Abstract: A generator categorizes documents in one or more transactions into buckets, each identified by a separate category for an expected time window based on a separate relative age of each of the documents evaluated from one or more dates identified in the documents. The generator trains a document classifier with a model of the separate relative age of each of the documents as a temporal characteristic correlated with the respective category of a respective bucket of the buckets. The document classifier executes on a input documents to classify each of the input documents as a particular logical type identified by a particular category from among multiple logical types.

Abstract: A method for rendering context based information on a user interface includes receiving a user request to extract the context based information from a database. The database includes a plurality of documents and the request includes at least one search criteria required to determine a context of the user request. The method includes generating a list of documents corresponding to the context of the user request and rendering on a viewing portion of the user interface the list of documents corresponding to the context of the user request.

Abstract: Provided is a process of obtaining a plurality of location data sets from different providers of user geolocation history, each location data set including a plurality of user-activity records, each user-activity records being associated with a user identifier and including geolocations of the corresponding user and times that the corresponding user was at the geolocations, the different providers having different user identifiers for a given corresponding user; matching, by one or more processors, the user identifiers between the location data sets based on geolocations of the corresponding user and times that the corresponding user was at the geolocations; and storing the matched user identifiers in association with one another in corresponding user profiles.

Abstract: Systems, methods, and non-transitory computer-readable media (systems) are disclosed for generating meaningful and insightful user segment reports based on a high dimensional data space. In particular, in one or more embodiments, the disclosed systems utilize a relaxed bi-clustering model to automatically identify user segments in a data space including datasets of features specific to individual users. In at least one embodiment, the disclosed systems identify and include users in automatically generated user segments even though those users are associated with some, but perhaps not all, of the features as other members in the automatically generated user segments.

Abstract: An automated interactive optimization method of short keyword queries for improving information retrieval from opaque (black box) search engines is disclosed. The method requires collecting data from several fact-checking websites, for creating dataset used for evaluation; estimating the relevance of posts/query results retrieved from a search engine to a given input document, by calculating the mean relevance error (MRE), based on estimating the minimal distance between words comprising both the retrieved posts and the input document; labeling a subset of claims for evaluation, by choosing a number of claims that gained the maximal and the minimal mean relevance error (MRE); and finding the most appropriate queries in order to retrieve the maximal number of relevant posts using an opaque search engine, by performing an interactive greedy search for the best word that should be added to the input query, for maximizing the corresponding posts retrieved by the search engine.

Abstract: An artwork transaction method, an artwork transaction apparatus, and a program therefor are provided, which allow for secure transaction of artwork on a network using computers. The artwork transaction method includes using a computer to receive the artwork and biometric signature data. The artwork transaction method includes using the computer to issue, to a contract account on a blockchain network, an exhibition transaction that includes information used for identifying the artwork and includes the biometric signature data.

Abstract: A system creates and searches knowledge base (KB) articles inside an organization while supporting operation as a SaaS (Software as-a-Service) across a plurality of organizations. The system implements a real-time online learning-to-rank (L2R) algorithm for learning relevance scoring that is customized to each organization. This algorithm incorporates rich lexical features using a query similarity kernel. A scoring function includes a pairwise static module, which may be trained off-line using training data, and a lexical adaptive module, which is trained on-line based on user feedback. The scoring function makes the system easy to deploy, modify, and suitable for handling events that naturally happen over the lifecycle of any KB deployment, without manual training.

Abstract: Performing, by a low-latency data access and analysis system, automatic grammar switching includes, in response to obtaining data indicating a request to switch from using a first defined grammar to using a second defined grammar, wherein the request includes data representing a first resolved-request generated for a first input string using the first defined grammar, generating, using the second defined grammar, a second resolved-request for the first input string, automatically generating a data-query in accordance with the second resolved-request, and outputting output data including results data obtained by executing the data-query.

Abstract: Exemplary embodiments of the present disclosure provide a method, apparatus, and computer-readable medium for identifying. An exemplary method includes providing a plurality of identifiers from a plurality of data sources, the plurality of identifiers corresponding to a plurality of entities, and creating a plurality of tuples based on the plurality of identifiers, wherein each one of the plurality of tuples corresponds (i) a particular one of the plurality of data sources and (ii) to at least two identifiers that are linked together. The method further includes receiving an identifier, and determining whether the received identifier matches any of the plurality of tuples.

Abstract: Technologies for generating relevance-independent position effects estimates for a set of ranked digital items are described. Embodiments include creating an input data set that includes request tracking data and associated activity tracking data. A relevance-independent position effects estimator generates an output data set. An item of the output data set includes user interface position data associated with a pair of adjacently positioned items of the input data set. The user interface position data indicates that a change in user interface activity probability data relating to a change in position between the items of the pair is greater than a change in the user interface activity probability data relating to a difference in the relevance score between the items of the pair. The output data set is stored in a searchable data store. Data from the searchable data store is provided to a downstream service.

Abstract: Methods and computer storage media are provided for generating entries for documents in a forward index. A document and its document identification are received, in addition to static features that are query-independent. The document is parsed into tokens to form a token stream corresponding to the document. Relevant data used to calculate rankings of document is identified and a position of the data is determined. The entry is then generated from the document identification, the token stream of the document, the static features, and the positional information of the relevant data. The entry is stored in the forward index.