Abstract: Systems and methods are disclosed for managing the display of online ad content consistent with one or more e-commerce objectives. A collection module may be operable to collect attribute values for a set of attributes characterizing user visits to a set of training webpages and subsequent attribute values for a subsequent user visit to a subsequent webpage. A model-generation module may be operable to train a probability model with the attribute values that predicts outcomes for at least one performance metric. A display module may be operable to determine whether to display ad content on the subsequent webpage for the subsequent user visit depending on whether a predicted outcome from the probability model that is relevant to the subsequent attribute values is consistent with one or more e-commerce objectives. The probability model may be a decision tree with different predicted outcomes for different combinations of attribute values.

Abstract: Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of receiving, from a plurality of entities, objectives and budgets associated with a plurality of keywords, determining cost-per-click (CPC) bids for each of the entities for some of the plurality of keywords using the objectives and the budgets, determining internal bids by the plurality of entities for the plurality of keywords by multiplying the CPC bid and a pacing multiplier, performing one or more iterative internal auctions, determining a highest bidder for each keyword of the plurality of keywords, and coordinating bidding by only the highest bidding entity for each of the keywords on a third-party external auction.

Abstract: Systems and methods are provided for processing a data stream in real time to identify connections between one or more social elements social elements and aggregating and storing the identified connections over a rolling time window. Social elements may be stored as nodes and connection between social elements may be stored as labeled connections between nodes. Other embodiments are provided.

Abstract: A method of extending an existing product taxonomy for an inventory of products. The existing product taxonomy can include pages having a hierarchical tree structure. The method can include determining a first set of keywords. The first set of keywords can be a prediction of keywords searched above a predetermined threshold during a predetermined time period of one or more external search engines. The method also can include generating dynamic product groups based on the first set of keywords. The method further can include generating a relation graph of the dynamic product groups. The relation graph can include relation links between the dynamic product groups. The method also can include linking the dynamic product groups to pages in the existing product taxonomy to generate an extended product taxonomy. The extended product taxonomy can include the existing product taxonomy, the dynamic product groups, and the relation links of the relation graph between the dynamic product groups.

Abstract: A system and method includes receiving, by a computer system, one or more inputs of customer level information, advertisement page and page type level information, item level information, inventory constraints, competitor pricing, and seasonal requirements/rules, merging, by the computer system, the one or more inputs, receiving, by the computer system including a module selection and ranking engine, the merged data, and providing, by the computer system, output of one or more advertisements of sponsored product listings to a user device of a consumer for display.

Abstract: A system and method includes configuring a computer system to provide output of one or more advertisements of products to a user device of a consumer, receiving, by the computer system, one or more inputs of impressions, clicks, orders and other KPIs, estimating, by the computer system, for a click through rate (CTR) of advertisements of the products based on the inputs received, optimizing, by the computer system with an optimization module, an estimated revenue and estimated advertisement spending (Adspend) based on the CTR of advertisements, and providing, by the computer system, output of one or more advertisements of the products to the user device of the consumer for display.

Abstract: Systems and methods are provided for processing a data stream in real time to identify connections between one or more social elements social elements and aggregating and storing the identified connections over a rolling time window. Social elements may be stored as nodes and connection between social elements may be stored as labeled connections between nodes. Other embodiments are provided.

Abstract: A method of extending an existing product taxonomy for an inventory of products. The existing product taxonomy can include pages having a hierarchical tree structure. The method can include determining a first set of keywords. The first set of keywords can be a prediction of keywords searched above a predetermined threshold during a predetermined time period of one or more external search engines. The method also can include generating dynamic product groups based on the first set of keywords. The method further can include generating a relation graph of the dynamic product groups. The relation graph can include relation links between the dynamic product groups. The method also can include linking the dynamic product groups to pages in the existing product taxonomy to generate an extended product taxonomy. The extended product taxonomy can include the existing product taxonomy, the dynamic product groups, and the relation links of the relation graph between the dynamic product groups.

Abstract: Systems and methods are provided for processing a data stream in real time to identify connections between one or more social elements social elements and aggregating and storing the identified connections over a rolling time window. Social elements may be stored as nodes and connection between social elements may be stored as labeled connections between nodes.

Abstract: Systems and methods are disclosed for managing the display of online ad content consistent with one or more e-commerce objectives. A collection module may be operable to collect attribute values for a set of attributes characterizing user visits to a set of training webpages and subsequent attribute values for a subsequent user visit to a subsequent webpage. A model-generation module may be operable to train a probability model with the attribute values that predicts outcomes for at least one performance metric. A display module may be operable to determine whether to display ad content on the subsequent webpage for the subsequent user visit depending on whether a predicted outcome from the probability model that is relevant to the subsequent attribute values is consistent with one or more e-commerce objectives. The probability model may be a decision tree with different predicted outcomes for different combinations of attribute values.

Abstract: Systems and methods are disclosed herein for supplementing product records with product groups that are relevant to the product records. Queries form users may be analyzed to extract keywords. Search results for keywords are evaluated to determine category consistency among product records, including such values as entropy and taxonomy depth. Those keywords with search results having adequate category consistency are selected as product groups and the search results associated with the product groups. Product groups are associated with product records according to a random walk of a graph having as nodes products and product groups and links representing belonging of a product to a product group. Product groups may be selected based on a transition probability based on a random walk and a quality score based on usage of a product group page for the product group.

Abstract: Exemplary embodiments provide methods, systems and devices for recommending one or more products for a selected individual. The products may be recommended to a user for gifting to the selected individual. Exemplary embodiments may automatically determine one or more topics of interest to the selected individual. In an exemplary embodiment, semantic analysis may be performed on textual content associated with the selected individual to automatically extract the topics of interest. Exemplary embodiments may use the topics of interest to automatically determine one or more products that are likely to be of interest to the selected individual.

Abstract: Disclose are methods for evaluating a user's interests and making gift recommendations using social media data. Interests and attributes of a user may be detected from social media content and products corresponding to the interests and attributes may be selected and presented as gift recommendations for the user. Methods are disclosed for resolving ambiguity as to interests reflected by textual data in social media content. Also disclosed are methods for inferring a user's interests from the interests of friends of the user.

Abstract: Disclose are methods for evaluating a user's interests and making gift recommendations using social media data. Interests and attributes of a user may be detected from social media content and products corresponding to the interests and attributes may be selected and presented as gift recommendations for the user. Methods are disclosed for resolving ambiguity as to interests reflected by textual data in social media content. Also disclosed are methods for inferring a user's interests from the interests of friends of the user.

Abstract: Exemplary embodiments provide methods, systems and devices for recommending one or more products for a selected individual. The products may be recommended to a user for gifting to the selected individual. Exemplary embodiments may automatically determine one or more topics of interest to the selected individual. In an exemplary embodiment, semantic analysis may be performed on textual content associated with the selected individual to automatically extract the topics of interest. Exemplary embodiments may use the topics of interest to automatically determine one or more products that are likely to be of interest to the selected individual.

Abstract: Systems and methods are provided for processing a data stream in real time to identify connections between one or more social elements social elements and aggregating and storing the identified connections over a rolling time window. Social elements may be stored as nodes and connection between social elements may be stored as labeled connections between nodes.