Improvements to existing technologies associated with point-of-sale transactions and merchant ecosystems to, among other things, reduce in-person contact and, in some examples, improve the efficiency at which point-of-sale transactions are completed (i.e., reduce friction) are described. In some examples, such reduced in-person contact and/or improved efficiencies can limit transmission of infectious diseases. As such, techniques described are directed to modifying aspects of point-of-sale transactions such that they occur on different computing devices (e.g., customer computing devices instead of merchant computing devices), are automated, and/or occur at different times than with conventional point-of-sale transactions. Furthermore, in at least one example, techniques described can leverage a distributed, network-based merchant ecosystem—comprising multiple merchant computing devices and/or customer computing devices that are specially configured to communicate with a service provider—to facilitate social distancing, which can reduce in-person contact and, in some examples, improve the efficiency at which point-of-sale transactions are completed.

Systems and methods for profile-based language translation and filtration are provided. A user language profile specifying one or more translation rules may be stored in memory for a user. A current communication session associated with a user device of the user may be monitored. The current communication session may includes messages from one or more other user devices of one or more other users. A language set in at least one of the messages of the current communication session may be detected as triggering at least one of the translation rules in real-time. The language set in the at least one message may further be filtered in real-time based on the at least one translation rule, which may thereby modify the at least one message. Further, a presentation of the current communication session that is provided to the user device may be modified to include the filtered language set of the modified message instead of the triggering language set.

Systems and methods for profile-based language translation and filtration are provided. A user language profile specifying one or more translation rules may be stored in memory for a user. A current communication session associated with a user device of the user may be monitored. The current communication session may includes messages from one or more other user devices of one or more other users. A language set in at least one of the messages of the current communication session may be detected as triggering at least one of the translation rules in real-time. The language set in the at least one message may further be filtered in real-time based on the at least one translation rule, which may thereby modify the at least one message. Further, a presentation of the current communication session that is provided to the user device may be modified to include the filtered language set of the modified message instead of the triggering language set.

Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and a method for performing operations comprising: receiving, from a client device of a first user, a request from the first user to engage in an AR shopping experience curated by a store; identifying a first real-world product available for purchase from the store; receiving an image of a real-world environment of the first user; generating a first AR item that represents the first real-world product; comparing visual attributes of the first AR item to physical layouts of a plurality of real-world objects depicted in the image of the real-world environment; and overlaying the first AR item on a first real-world object of the plurality of real-world objects in the image responsive to comparing the visual attributes of the first AR item to the physical layouts of the plurality of real-world objects.

A system and method for facilitating secure transfer of encrypted files and/or messages can facilitate the secure transfer of encrypted files to a receiving user. The system can include: a computer program for facilitating sending of an e-mail message to a receiving user, the e-mail message including at least a web address of a trusted provider and instructions about how to securely download encrypted files without the receiving user setting up an account or a password, the transfer of encrypted files being facilitated by a code sent to a telephone of the receiving user.

A system and method for facilitating secure transfer of encrypted files and/or messages can facilitate the secure transfer of encrypted files to a receiving user. The system can include: a computer program for facilitating sending of an e-mail message to a receiving user, the e-mail message including at least a web address of a trusted provider and instructions about how to securely download encrypted files without the receiving user setting up an account or a password, the transfer of encrypted files being facilitated by a code sent to a telephone of the receiving user.

A DNS server receives from a receiving email system, a DNS query for an email domain stored at the DNS server, the DNS query including identifying information of a sender of an email. The DNS server extracts the identifying information of the email sender from the DNS query and identifies one of a plurality of delivering organizations from the information. The DNS server determines whether the identified delivering organization is authorized to deliver email on behalf of the email domain. In response to determining that the identified delivering organization is authorized to deliver email on behalf of the email domain, the DNS server generates a target validation record based on the identity of the authorized delivering organization and the email domain, the target validation record including one or more rules indicating to the receiving email system whether the delivering organization is an authorized sender of email for the email domain.

A DNS server receives from a receiving email system, a DNS query for an email domain stored at the DNS server, the DNS query including identifying information of a sender of an email. The DNS server extracts the identifying information of the email sender from the DNS query and identifies one of a plurality of delivering organizations from the information. The DNS server determines whether the identified delivering organization is authorized to deliver email on behalf of the email domain. In response to determining that the identified delivering organization is authorized to deliver email on behalf of the email domain, the DNS server generates a target validation record based on the identity of the authorized delivering organization and the email domain, the target validation record including one or more rules indicating to the receiving email system whether the delivering organization is an authorized sender of email for the email domain.

Examples of the present disclosure describe systems and methods for automatically assisting conversations using a graph database. In order to minimize misunderstanding of words and phrases used by participants during a conversation, phrases from the conversation may be received by conversation assistance application as the conversation takes place. Entities may be extracted from the phrase based on natural language recognition according to a domain context of the participant being assisted. One or more tags may be looked up from a graph database, and may be provided to the participant as a list of hashtags related to the conversation. Links to documents may be extracted based on the tags for the participant for viewing during the conversation.

Examples of the present disclosure describe systems and methods for automatically assisting conversations using a graph database. In order to minimize misunderstanding of words and phrases used by participants during a conversation, phrases from the conversation may be received by conversation assistance application as the conversation takes place. Entities may be extracted from the phrase based on natural language recognition according to a domain context of the participant being assisted. One or more tags may be looked up from a graph database, and may be provided to the participant as a list of hashtags related to the conversation. Links to documents may be extracted based on the tags for the participant for viewing during the conversation.