A method and system for maintaining the order of arrangement of a modified object list is provided. The method includes receiving selection of an object from a first plurality of objects of an object list, wherein the object list has an order of arrangement and is included on a first digital page displayed on a user interface of a device, receiving selection of a category icon from a plurality of category icons corresponding, to a plurality of categories, wherein the plurality of category icons are included on the first digital page, modifying the object list to exclude the object from the first digital page, and maintaining the order of arrangement of the object list that is modified, wherein the maintaining includes displaying a second plurality of objects included in the object list that is modified on the first digital page in accordance with the order of arrangement.

Embodiments of the present disclosure describe systems, methods, and computer program products for redacting sensitive data within a database. An example method can include receiving a data query referencing unredacted data of a database, responsive to the data query, executing, by a processing device, a redaction operation to identify sensitive data within the unredacted data of the database, and returning a redacted data set in which the sensitive data is replaced or removed to the data query.

Disclosed in some examples are methods, systems, and machine readable mediums which utilize volume to improve the ordering of search results for various information retrieval systems. This improves relevance as volume is a proxy for interest. As volume changes over time, the relevance of a particular result to a particular search query will increase or decrease over time.

Methods and systems for improved categorization of queries are disclosed. In one aspect, first queries having query results limited to a particular category are identified. Second queries including a first query are also identified. For identified second queries, a pattern is generated based on the second query and the included first query, and a rank of the first query's particular category in results for the second query and a percentage of the second query's results having a category equivalent to the included first query's particular category are determined. The ranks and percentages are aggregated for matching patterns, and second patterns with aggregated ranks and percentages meeting a criterion are determined. Results for a third query are limited to a category equivalent to a particular category for a first query included in the third query, and then transmitted over a computer network to a client device.

Methods and systems for presenting a proactive audiovisual query using a virtual assistant software application. The methods correspond to retrieving user experience data associated with a user profile for the virtual assistant software application, wherein the user experience data define one or more user experience events for the user profile. The methods further include retrieving subject matter domain data associated with the one or more user experience events, wherein the subject matter domain data define one or more probabilistic event effects for the one or more user experience events and determining, based on the user experience data and the subject matter domain data, one or more optimal query items, wherein the one or more optimal query items are associated with at least one of the one or more probabilistic event effects. The methods further include generating the proactive audiovisual query in accordance with the one or more optimal query items.

A system and method are presented in which known genetic attributes associated with a condition are used to seed the determination of additional attributes which are associated with the condition. Based on the learning, the additional attributes (genetic, behavioral, or both) provide for an increased correlation between the combined attributes and the condition. For behavioral attributes, a measure of the impact of the behavioral attribute on the risk of the condition can be transmitted to another device or system.

Systems and methods to extract and utilize textual semantics are described. The system receives item information that describes an item for sale on a network-based marketplace and analyzes the item information to generate application information that identifies a plurality of applications. The plurality of applications includes a first application that further includes the item as a first component of the first application. The system stores a listing in a database that includes the application information and the item information and publishes the listing on the network-based marketplace to sell the item via the network-based marketplace.

A diamond asset comprising one or more diamonds and an encryption chip is used to asset-back a cryptographic token that can be used to conduct transactions. The cryptographic token is written to a blockchain using a smart contract that is configured to enable a transaction associated with the token in response to two or more of: a signature by the encryption chip, a signature by the owner of the diamond asset, and a validation of a visual layout of the diamond asset.

In accordance with an embodiment, an information processing apparatus acquires a rank of a visiting user and an amount according to the ranking. The information processing apparatus acquires a price at an own store of a commodity that the user has selected for purchase. The information processing apparatus acquires a price at another store of the commodity that the user has selected for purchase. In a case in which the price at the own store is higher than the price at the other store, the information processing apparatus adds an amount based on a difference in price therebetween to the amount according to the ranking, which is acquired by a first acquisition means.

In a computer-implemented method for information retrieval and a processing system of a computer-implemented information retrieval system, an input text is received by a Natural Language Processing, NLP, suite, wherein the NLP suite comprises a plurality of models. At least one of the plurality of models is a model trained using selected features. The selected features are determined using a feature selection process. The input text is processed by each one of the plurality of models. An intermediate representation of the input text is generated by each one of the plurality of models. An enhanced representation of the input text is generated by combining a plurality of the generated intermediate representations. Information is retrieved based on the enhanced representation of the input text.