The Marketing API offers two platforms that sellers can use to promote and advertise their products: Promoted Listings is an eBay ad service that lets sellers set up ad campaigns for the products they want to promote. eBay displays the ads in search results and in other marketing modules as SPONSORED listings. If an item in a Promoted Listings campaign sells, the seller is assessed a Promoted Listings fee, which is a seller-specified percentage applied to the sales price. For complete details, see Promoted Listings. Promotions Manager gives sellers a way to offer discounts on specific items as a way to attract buyers to their inventory. Sellers can set up discounts (such as "20% off" and other types of offers) on specific items or on an entire customer order. To further attract buyers, eBay prominently displays promotion teasers throughout buyer flows. For complete details, see Promotions Manager. Marketing reports, on both the Promoted Listings and Promotions Manager platforms, give sellers information that shows the effectiveness of their marketing strategies. The data gives sellers the ability to review and fine tune their marketing efforts. Important! Sellers must have an active eBay Store subscription, and they must accept the Terms and Conditions before they can make requests to these APIs in the Production environment. There are also site-specific listings requirements and restrictions associated with these marketing tools, as listed in the "requirements and restrictions" sections for Promoted Listings and Promotions Manager. The table below lists all the Marketing API calls grouped by resource.

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numeno/api-persona

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0 Downloads

### Introduction Use the Numeno Persona API to create and manage **Personas**. Evolving a Persona over time is dead-simple: [create a Persona](create-persona), then send natural-language descriptions of your users’ in-app activities to the Persona API. Under the hood, we create a rich set of models of the system that evolve over time. Then, ask Numeno to personalize some part of your experience using the Persona. Numeno will use our models to tailor your software to each user’s unique preferences and habits, allowing you to dynamically adjust your offerings. For example, connect a Persona to the **[Numeno Article Recommender API](https://numeno.ai/wp-content/uploads/docs/artrec/numeno-article-recommender-api)** to generate **Article Feeds** that evolve over time as your Persona evloves with user interaction. Personas are not limited to modelling users. Posts in a social environment, articles or topics on a content platform, a screen or widget in your UI, a product in your inventory - groups of any of these things – Personas can evolve models of anything in your system! Get creative!

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macropage/sdk-ebay-rest-marketing

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23 Downloads

The Marketing API offers two platforms that sellers can use to promote and advertise their products: Promoted Listings is an eBay ad service that lets sellers set up ad campaigns for the products they want to promote. eBay displays the ads in search results and in other marketing modules as SPONSORED listings. If an item in a Promoted Listings campaign sells, the seller is assessed a Promoted Listings fee, which is a seller-specified percentage applied to the sales price. For complete details, refer to the Promoted Listings playbook.Promotions Manager gives sellers a way to offer discounts on specific items as a way to attract buyers to their inventory. Sellers can set up discounts (such as "20% off" and other types of offers) on specific items or on an entire customer order. To further attract buyers, eBay prominently displays promotion teasers throughout buyer flows. For complete details, see Promotions Manager. Marketing reports, on both the Promoted Listings and Promotions Manager platforms, give sellers information that shows the effectiveness of their marketing strategies. The data gives sellers the ability to review and fine tune their marketing efforts.Store Email Campaign allows sellers to create and send email campaigns to customers who have signed up to receive their newsletter. For more information on email campaigns, see Store Email Campaigns.Important! Sellers must have an active eBay Store subscription, and they must accept the Terms and Conditions before they can make requests to these APIs in the Production environment. There are also site-specific listings requirements and restrictions associated with these marketing tools, as listed in the "requirements and restrictions" sections for Promoted Listings and Promotions Manager. The table below lists all the Marketing API calls grouped by resource.

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gdpr-extensions-com/gdpr-extensions-com-sfc

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409 Downloads

Add your social feed through curator.io with our 2xClick solution where the users can manage their cookie preferences any time!

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inda-hr/php_sdk

6 Favers
1310 Downloads

# Introduction **INDA (INtelligent Data Analysis)** is an [Intervieweb](https://www.intervieweb.it/hrm/) AI solution provided as a RESTful API. The INDA pricing model is *credits-based*, which means that a certain number of credits is associated to each API request. Hence, users have to purchase a certain amount of credits (established according to their needs) which will be reduced at each API call. INDA accepts and processes a user's request only if their credits quota is grater than - or, at least, equal to - the number of credits required by that request. To obtain further details on the pricing, please visit our [site](https://inda.ai) or contact us. INDA HR embraces a wide range of functionalities to manage the main elements of a recruitment process: + [**candidate**](https://api.inda.ai/hr/docs/v2/#tag/Resume-Management) (hereafter also referred to as **resume** or **applicant**), or rather a person looking for a job; + [**job advertisement**](https://api.inda.ai/hr/docs/v2/#tag/JobAd-Management) (hereafter also referred to as **job ad**), which is a document that collects all the main information and details about a job vacancy; + [**application**](https://api.inda.ai/hr/docs/v2/#tag/Application-Management), that binds candidates to job ads; it is generated whenever a candidate applies for a job. Each of them has a specific set of methods that grants users the ability to create, read, update and delete the relative documents, plus some special features based on AI approaches (such as *document parsing* or *semantic search*). They can be explored in their respective sections. Data about the listed document types can be enriched by connecting them to other INDA supported entities, such as [**companies**](https://api.inda.ai/hr/docs/v2/#tag/Company-Management) and [**universities**](https://api.inda.ai/hr/docs/v2/#tag/Universities), so that recruiters may get a better and more detailed idea on the candidates' experiences and acquired skills. All the functionalities mentioned above are meant to help recruiters during the talent acquisition process, by exploiting the power of AI systems. Among the advantages a recruiter has by using this kind of systems, tackling the bias problem is surely one of the most relevant. Bias in recruitment is a serious issue that affect both recruiters and candidates, since it may cause wrong hiring decisions. As we care a lot about this problem, we are constantly working on reduce the bias in original data so that INDA results may be as fair as possible. As of now, in order to tackle the bias issue, INDA automatically ignores specific fields (such as name, gender, age and nationality) during the initial processing of each candidate data. Furthermore, we decided to let users collect data of various types, including personal or sensitive details, but we do not allow their usage if it is different from statistical purposes; our aim is to discourage recruiters from focusing on candidates' personal information, and to put their attention on the candidate's skills and abilities. We want to help recruiters to prevent any kind of bias while searching for the most valuable candidates they really need. The following documentation is addressed both to developers, in order to provide all technical details for INDA integration, and to managers, to guide them in the exploration of the implementation possibilities. The host of the API is [https://api.inda.ai/hr/v2/](https://api.inda.ai/hr/v2/). We recommend to check the API version and build (displayed near the documentation title). You can contact us at [email protected] in case of problems, suggestions, or particular needs. The search panel on the left can be used to navigate through the documentation and provides an overview of the API structure. On the right, you can find (*i*) the url of the method, (*ii*) an example of request body (if present), and (*iii*) an example of response for each response code. Finally, in the central section of each API method, you can find (*i*) a general description of the purpose of the method, (*ii*) details on parameters and request body schema (if present), and (*iii*) details on response schema, error models, and error codes.

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