A system and method is provided for generating new product offerings for display in which products are decoupled into components and the components are weighted based on user-specific preferences and market trends. The weighted components are then recompiled into new product offerings based on a probabilistic selection. Each component may be associated with related or otherwise applicable components and these associated components may also be incorporated into a new product offering for display during the probabilistic selection process. The selection and display process may also be tailored to specific users by adjusting weights based on preferences of those specific users.

Systems and methods are disclosed for online distribution of content based on a user sentiment index. The method may include receiving, over a network and from a user device, one or more user generated inputs and calculating the user sentiment index based on the one or more user generated inputs. The method may also include receiving, over the network, from a content or advertising provider, instructions on publishing content or advertising to a webpage based on the calculated user sentiment index, and publishing content for display on user devices over the network based on a comparison of the calculated user sentiment index and the received instructions.

Technologies for identifying prospective marketing targets based on payment vehicle-based payment transactions processed over electronic payment networks are disclosed. Payment vehicle-based payment transactions are analyzed to determine historical purchase activity progressions. Consumer behavior can be mapped to a historical purchase activity progression so that future spend behavior of the consumer can be identified.

An information providing method and apparatus a) transmits a request via a network, for recommended driving information for a first user to be received and displayed on a display of the first user, b) receives from the network driving data from a plurality of vehicles about how a plurality of users drive their vehicles including the first user, c) extracts a similar user from among the plurality of users who drives a vehicle with a predetermined similarity to how the first user drives a vehicle, and determines recommended driving information of the similar user from the similar user's driving history, d) transmits over the network to the first user the recommended driving information of the similar user, and e) displays on a display of the first user the recommended driving information of the similar user.

A system comprising methods and apparatuses is provided for managing and optimizing shopping lists, purchased items, shopping visits, delivery schedules and reducing food waste. This system stores shopping lists of a user or shopping lists shared between a group of users. Upon entering the user to a certain vicinity where there is a store that sells an item which is pending on the shopping lists, the system sends reminding alerts to the user. Upon checking out from the store, the system marks as purchased on the shopping lists the purchased items. Upon storing the purchased items in associated containers, the system stores the locations of the items and updates the remaining amount of each of the items each time the user consumes part of each item. The system predicts the most optimized time of purchase and amount of the items to be purchased such that the least amount of food waste would occur and the least amount of delivery or shopping trips would be needed.

A method for recording information within first-party cookies on a web browser, including propagating recorded information from a second cookie associated with a second domain to a first cookie associated with a first domain, wherein the first cookie and the second cookie are each first-party cookies, such that a first web resource of the first domain and a second web resource of the second domain each have access to the recorded information via its associated first-party cookie, and corresponding server and system.

Systems and methods are presented for adding system-identified content to a user's content space based on information identified from the user's email account. In operation, after obtaining user authorization to access email items of an email account, the email items are iteratively processed. In processing each of the email items, one or more topics of a currently processed email item are identified. Based on the identified topics and user preferences, one or more content items may be identified for addition to the user's online content space. Additionally, the information identified from processing the one or more email items is used to update the user's preferences.

A method for targeted advertisement includes transmitting a pre-filter to the user device, responsive to contextual information from a user device, to determine, using a processor, one or more inferences based on physical browsing information, collected at the user device, in compliance with one or more privacy policies of the user. The method also includes receiving one or more inferences determined by the pre-filter from the user device and transmitting one or more targeted advertisements to the user device based on one or more inferences.

Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for a multimedia environment that includes a computing device, a media server system, and a third party shopping system. The computing device can display an advertisement including a reference to an advertised subject provided by the third party shopping system. The computing device can further display media content provided by the media server system. In response to receiving an indication to place an order for an item associated with the advertised subject, the computing device can further collect information included in the order. The computing device can further transmit, to the third party shopping system, at least a portion of the order and media account information. The order is recorded in a user shopping account corresponding to the media account associated with the computing device.

Embodiments herein provide for audience obfuscation during advertisement insertion in content. In one embodiment, a network element is communicatively coupled to a plurality of content distributers and to a plurality of advertisement decision servers (ADSs). The network element is operable to receive a first set of requests from a first of the content distributers for advertisements to be inserted into content provided by the content distributer, detect, in the requests, Personally Identifiable Information (PII) of subscribers to the first content distributer requesting the content, and remove the PII of the requests to anonymize the requests. The network element is operable to transfer the anonymized requests to a first of the ADSs, receive advertisements from the first ADS for placement into the content of the content distributers, direct the first content distributer to insert the advertisements into the requested content.