Abstract: Techniques for limiting unwanted comments are described. For example, a social networking system may receive, from a first account of the social networking system, a request to post content. In some examples, the social networking system may further receive an instruction to limit an ability of certain accounts lacking a characteristic from commenting on the first account’s content. In some cases, the social networking system may receive, from a second account. Upon determining that the second account lacks the characteristic, the social networking system may refrain from sharing the comment with one or more additional users.

Abstract: Techniques for identifying a trigger associated with a recommendation to modify settings associated with a user account of a social networking system, and providing a recommendation to a user to review and/or modify the settings are described herein. The settings may include settings associated with other users commenting on data published by the user via the social networking system (e.g., posts published by the user), tagging or mentioning the user in a post, sending a direct message to the user, and/or the like. That is, the social networking system may be configured to identify a triggering event (e.g., trigger) associated with interactions with the user account, and to provide a recommendation for the user to review and/or modify one or more settings associated with the user account based on the interactions, such as to improve an overall user experience with the social networking system.

Abstract: A system can perform certain acts. The acts can include determining score values to identify a plurality of target customers associated with a plurality of potential offers. The acts can include receiving bids from the plurality of target customers for the plurality of potential offers. The acts can include performing an iterative process for each respective target customer of the plurality of target customers to take turns to submit a respective bid for each respective potential offer of the plurality of potential offers associated with the respective target customer. The acts can include determining a respective final bid for each of the plurality of potential offers such that an aggregate value for the plurality of target customers that can be maximized across the plurality of potential offers. The acts can include sending instructions to deliver the plurality of offers to at least a portion of the plurality of target customers.

Abstract: Techniques are described that determine when content to be shared by a user may be offensive, and providing the user with a notification that the content may be offensive. In some examples, the user may be provided with a notification that includes a selectable option allowing the user to withdraw or undo the content from being shared, additional information regarding why the content was determined to be offensive, content sharing guidelines, and/or advice for how to revise the content to be less offensive. In some examples, the notification may be presented for a predetermined period of time, and the content may be held in a pending state and not shared with other users until expiration of the predetermined period.

Abstract: Techniques are described that determine when content to be shared by a user may be offensive, and providing the user with a notification that the content may be offensive. In some examples, the user may be provided with a notification that includes a selectable option allowing the user to withdraw or undo the content from being shared, additional information regarding why the content was determined to be offensive, content sharing guidelines, and/or advice for how to revise the content to be less offensive. In some examples, the notification may be presented for a predetermined period of time, and the content may be held in a pending state and not shared with other users until expiration of the predetermined period.

Abstract: Techniques are described that determine when content to be shared by a user may be offensive, and providing the user with a notification that the content may be offensive. In some examples, the user may be provided with a notification that includes a selectable option allowing the user to withdraw or undo the content from being shared, additional information regarding why the content was determined to be offensive, content sharing guidelines, and/or advice for how to revise the content to be less offensive. In some examples, the notification may be presented for a predetermined period of time, and the content may be held in a pending state and not shared with other users until expiration of the predetermined period.

Abstract: Systems, methods, and computer-readable storage media are provided that allow orders to be made remotely by customers and classify a product or category of products based on a customer's purchasing history of that product and generate a message to the customer based on the classification.

Abstract: A system can perform certain acts. The acts can include determining score values to identify a plurality of target customers associated with a plurality of potential offers. The acts can include receiving bids from the plurality of target customers for the plurality of potential offers. The acts can include performing an iterative process for each respective target customer of the plurality of target customers to take turns to submit a respective bid for each respective potential offer of the plurality of potential offers associated with the respective target customer. The acts can include determining a respective final bid for each of the plurality of potential offers such that an aggregate value for the plurality of target customers that can be maximized across the plurality of potential offers. The acts can include sending instructions to deliver the plurality of offers to at least a portion of the plurality of target customers.

Abstract: A system, method and computer product for allowing a processing device to generate search engine results to locate personalized product substitutions, filter the search results based on product characteristics and customer and retailer preferences, and provide personalized substitution recommendations to online grocery shoppers.

Abstract: A system, method and computer product for allowing a processing device to generate search engine results and match ingredients from a recipe or grocery list to products available for purchase from a retailer.

Abstract: Techniques for generating offers to a plurality of target customers are disclosed. Each offer has an associated score value for each target customer. The techniques, including an iterative process, assign to the target customers based on the score value assigned to, and a current value to, the respective target customer. The assigned offers may then be generated and delivered to the respective target customers.

Abstract: A system, method and computer product for allowing a processing device to generate search engine results using a cobought model algorithm, filter the search results based on product information and past transaction data, and provide personalized recommendations for online grocery shoppers.

Abstract: A system to manage clustering vertices of a streaming graph includes a memory storing a computer program, a vertex structure storing vertices of the graph, and a cluster structure storing clusters of the graph, and a processor. Each cluster structure comprises a plurality of edge structures represent edges of the graph and each edge structure comprises two of the vertices. The processor is configured to execute the program to cluster the vertices using the structures and a maximum cluster size that is constant.

Abstract: A system, method and computer product for allowing a processing device to generate search engine results to locate personalized product substitutions, filter the search results based on product characteristics and customer and retailer preferences, and provide personalized substitution recommendations to online grocery shoppers.

Abstract: A system, method and computer product for allowing a processing device to generate search engine results using a cobought model algorithm, filter the search results based on product information and past transaction data, and provide personalized recommendations for online grocery shoppers.

Abstract: A system, method and computer product for allowing a processing device to generate search engine results and match ingredients from a recipe or grocery list to products available for purchase from a retailer.

Abstract: Systems, methods, and computer-readable storage media are provided that allow orders to be made remotely by customers and classify a product or category of products based on a customer's purchasing history of that product and generate a message to the customer based on the classification.

Abstract: Techniques for generating offers to a plurality of target customers are disclosed. Each offer has an associated score value for each target customer. The techniques, including an iterative process, assign to the target customers based on the score value assigned to, and a current value to, the respective target customer. The assigned offers may then be generated and delivered to the respective target customers.

Abstract: A system to manage clustering vertices of a streaming graph includes a memory storing a computer program, a vertex structure storing vertices of the graph, and a cluster structure storing clusters of the graph, and a processor. Each cluster structure comprises a plurality of edge structures represent edges of the graph and each edge structure comprises two of the vertices. The processor is configured to execute the program to cluster the vertices using the structures and a maximum cluster size that is constant.