Abstract: The disclosure herein describes a system for measuring probability of influence in digital communications to determine if communication content originated in a person's own prior knowledge or new information more recently obtained from interaction with communications of others. An estimated probability a new communication by a first user comes from the same distribution as prior communications of the first user are generated using multidimensional statistics on embeddings representing the communications. A second estimated probability that the new communication comes from the same distribution as communication(s) of a second user that were accessible to the first user are generated. If the second probability is greater than the first probability, the new communication is more likely influenced by exposure of the first user to the second user's communications rather than the first user's own historical knowledge.

Abstract: A method for intelligently evaluating sharing readiness of a document stored on a sharing platform includes determining, for each of multiple versions of the document, a deviation metric quantifying similarity of the version with another consecutively-saved version of the document; evaluating the deviation metrics for the document in view of predefined readiness criteria indicative of sharing readiness; and presenting a sharing recommendation on a user interface of the sharing platform responsive to determining that a subset of the deviation metrics for the document satisfy the predefined readiness criteria.

Abstract: Examples provide a personalized data feed having progress indicators showing progress indicators associated with goal-related action items in the feed to assist users in achieving personalized objectives. A goal-related progress indicator is generated within the personalized data feed indicating a user's progress towards completing the goal. A per-item progress indicator is generated for each uncompleted item indicating additional predicted progress towards achieving the personalized goal if the item is completed by the user. A visual augmentation is provided within the data feed to identify items in the feed which assist the user in achieving the personalized goal, such as documents to read or review. This motivates the user to interact with the item to work towards completing their goal, as well as provides a comparative and/or quantitative measure of potential goal-related benefit to be gained by interacting with various items in the feed.

Abstract: A temporal layer containing personalization markers (e.g., placemarks) created by a user at a given time (or time period), can be combined with map imagery, allowing the user (or other users) to show only the personalization markers contained in the temporal layer. Temporal layers can be of arbitrary temporal or geographical size, fully or partially overlapping in time or space, split into smaller temporal layers, logically aligned or combined and/or continuous or non-continuous in time or space. Temporal layers can be stored in a repository where they can be searched and used by others. Temporal layers can be associated with search services (e.g., news search) or search histories (e.g., automatic temporal layers based on search history). A user's personal profile can be compared with other users' personal profiles and the results of the comparison can be used to recommend temporal layers. Advertisements can be associated with temporal layers.

Abstract: Methods, systems, and media for automated compliance determination of content items are provided.

Abstract: Methods, systems, and media for automated compliance determination of content items are provided.

Abstract: A temporal layer containing personalization markers (e.g., placemarks) created by a user at a given time (or time period), can be combined with map imagery, allowing the user (or other users) to show only the personalization markers contained in the temporal layer. Temporal layers can be of arbitrary temporal or geographical size, fully or partially overlapping in time or space, split into smaller temporal layers, logically aligned or combined and/or continuous or non-continuous in time or space. Temporal layers can be stored in a repository where they can be searched and used by others. Temporal layers can be associated with search services (e.g., news search) or search histories (e.g., automatic temporal layers based on search history). A user's personal profile can be compared with other users' personal profiles and the results of the comparison can be used to recommend temporal layers. Advertisements can be associated with temporal layers.

Abstract: Methods, systems, and media for automated compliance determination of content items are provided.

Abstract: A temporal layer containing personalization markers (e.g., placemarks) created by a user at a given time (or time period), can be combined with map imagery, allowing the user (or other users) to show only the personalization markers contained in the temporal layer. Temporal layers can be of arbitrary temporal or geographical size, fully or partially overlapping in time or space, split into smaller temporal layers, logically aligned or combined and/or continuous or non-continuous in time or space. Temporal layers can be stored in a repository where they can be searched and used by others. Temporal layers can be associated with search services (e.g., news search) or search histories (e.g., automatic temporal layers based on search history). A user's personal profile can be compared with other users' personal profiles and the results of the comparison can be used to recommend temporal layers. Advertisements can be associated with temporal layers.

Abstract: A marketplace (or aftermarket) for advertisements or ad combinations is established. A first on-line advertisement is identified in which a performance of the first advertisement during a past ad campaign is above a threshold. A second on-line advertisement is identified based on a matching criterion between the first and second advertisements, in which a performance of the second advertisement during a past ad campaign is lower than the first advertisement. The first advertisement or a representation of the first advertisement and performance data of the first advertisement are provided to a sponsor of the second advertisement.

Abstract: The system of the present invention includes at least one brain signal capturing device, at least one memory device for storing software instructions, and at least one processor. The processor is in communication with the brain signal capturing device and executes the instructions stored on the memory. The instructions include the steps of analyzing a user's brain signal patterns and searching based on the user's brain signals.

Abstract: The system of the present invention includes at least one brain signal capturing device, at least one memory device for storing software instructions, and at least one processor. The processor is in communication with the brain signal capturing device and executes the instructions stored on the memory. The instructions include the steps of analyzing a user's brain signal patterns and searching based on the user's brain signals.

Abstract: A temporal layer containing personalization markers (e.g., placemarks) created by a user at a given time (or time period), can be combined with map imagery, allowing the user (or other users) to show only the personalization markers contained in the temporal layer. Temporal layers can be of arbitrary temporal or geographical size, fully or partially overlapping in time or space, split into smaller temporal layers, logically aligned or combined and/or continuous or non-continuous in time or space. Temporal layers can be stored in a repository where they can be searched and used by others. Temporal layers can be associated with search services (e.g., news search) or search histories (e.g., automatic temporal layers based on search history). A user's personal profile can be compared with other users' personal profiles and the results of the comparison can be used to recommend temporal layers. Advertisements can be associated with temporal layers.

Abstract: A marketplace (or aftermarket) for advertisements or ad combinations is established. A first on-line advertisement is identified in which a performance of the first advertisement during a past ad campaign is above a threshold. A second on-line advertisement is identified based on a matching criterion between the first and second advertisements, in which a performance of the second advertisement during a past ad campaign is lower than the first advertisement. The first advertisement or a representation of the first advertisement and performance data of the first advertisement are provided to a sponsor of the second advertisement.

Abstract: A temporal layer containing personalization markers (e.g., placemarks) created by a user at a given time (or time period), can be combined with map imagery, allowing the user (or other users) to show only the personalization markers contained in the temporal layer. Temporal layers can be of arbitrary temporal or geographical size, fully or partially overlapping in time or space, split into smaller temporal layers, logically aligned or combined and/or continuous or non-continuous in time or space. Temporal layers can be stored in a repository where they can be searched and used by others. Temporal layers can be associated with search services (e.g., news search) or search histories (e.g., automatic temporal layers based on search history). A user's personal profile can be compared with other users' personal profiles and the results of the comparison can be used to recommend temporal layers. Advertisements can be associated with temporal layers.

Abstract: A system receives a search query related to an academic event of multiple academic events, the academic event having a committee with one or more members. The system searches a corpus of documents associated with the multiple academic events based on the search query to produce a set of search result documents. The system ranks the set of search result documents based on metrics associated with the one or more committee members of the academic event.

Abstract: An improved self-indexer comprising a find function that caches a last found position and occurrence count of a symbol on each node level of a word-based wavelet tree for a particular symbol lookup and only uses a select function to call on data to the right of the position.

Abstract: An improved self-indexer comprising a find function that caches a last found position and occurrence count of a symbol on each node level of a word-based wavelet tree for a particular symbol lookup and only uses a select function to call on data to the right of the position.

Abstract: A system receives a search query related to an academic event of multiple academic events, the academic event having a committee with one or more members. The system searches a corpus of documents associated with the multiple academic events based on the search query to produce a set of search result documents. The system ranks the set of search result documents based on metrics associated with the one or more committee members of the academic event.