Abstract: A method, apparatus, and product comprising: loading a webpage at a Content Management System (CMS) platform, the page comprising page elements presenting manually curated content; executing a policy editor displaying management tools configured for defining a webpage policy that assigns to each page element an editorial control level selected from a manually curated control level, a manually curated de-duplication control level, and a personalized control level; incorporating code representing the webpage policy into the webpage; and publishing the webpage for execution on end devices, wherein execution of the code causes replacement of manually curated content with personalized content items from a third-party content discovery server based on assigned control levels and constraints preventing content duplication within the webpage.

Abstract: A method, apparatus, and product comprising: loading a webpage at a Content Management System (CMS) platform, the page comprising page elements presenting manually curated content; executing a policy editor displaying management tools configured for defining a webpage policy that assigns to each page element an editorial control level selected from a manually curated control level, a manually curated de-duplication control level, and a personalized control level; incorporating code representing the webpage policy into the webpage; and publishing the webpage for execution on end devices, wherein execution of the code causes replacement of manually curated content with personalized content items from a third-party content discovery server based on assigned control levels and constraints preventing content duplication within the webpage.

Abstract: A method, apparatus, and product comprising: loading a webpage at a Content Management System (CMS) platform, the webpage comprising a plurality of page elements presenting manually curated content; executing a policy editor displaying management tools including a verification tool for defining a webpage policy to manage and customize presentation of multiple content items according to dedicated tags; incorporating code representing the webpage policy into the webpage to obtain a modified webpage; and publishing the modified webpage to be available to one or more end devices of end users for executing the code of the webpage policy and enabling automated replacements of the manually curated content with alternative content items according to the dedicated tags.

Abstract: A method for personalizing webpage content includes receiving a webpage from a Content Management System (CMS) at a client device. The webpage includes content items from the CMS repository, with some items indicated as hand-curated and others as replaceable. The client device identifies replaceable content items and obtains new content items from a CMS-agnostic personalization system. New content items may be selected based on computed user affinity levels. The client device replaces the replaceable content items with the new content items, generating a personalized webpage that includes both hand-curated and personalized content.

Abstract: A method comprising receiving, by a client device, a webpage from a Content Management System (CMS) with sections arranged in a pre-defined layout. A personalization request to a personalization system is issued. A new content items is received and is used to replace existing items in the webpage. Layout personalization is determined based on computed user affinity levels to both new and non-replaced content. The layout personalization is implemented by modifying the pre-defined layout to a different arrangement of sections, creating a modified layout that differs from the original.

Abstract: Automated classification of sensitive data in a database, which includes: Retrieving a catalog of a database. Sampling record values from at least some of the columns. Generating a map of probable associations between different columns of tables of the database. Applying a machine learning classifier to the sampled record values, to classify the columns of the sampled records into multiple data classes, some being sensitive data classes. Classifying columns of non-sampled record values according to the classification of the sampled record values, based on the map. Searching all objects of the database for existence of record values of the classified columns, to output value and field name pairs. Scoring the pairs according to a measure of their repetitiveness in the output. Increasing the score of the pairs whose field names are similar. Based on the scores, indicating which fields of the database are likely to include sensitive data.

Abstract: Automated classification of sensitive data in a database, which includes: Retrieving a catalog of a database. Sampling record values from at least some of the columns. Generating a map of probable associations between different columns of tables of the database. Applying a machine learning classifier to the sampled record values, to classify the columns of the sampled records into multiple data classes, some being sensitive data classes. Classifying columns of non-sampled record values according to the classification of the sampled record values, based on the map. Searching all objects of the database for existence of record values of the classified columns, to output value and field name pairs. Scoring the pairs according to a measure of their repetitiveness in the output. Increasing the score of the pairs whose field names are similar. Based on the scores, indicating which fields of the database are likely to include sensitive data.

Abstract: An assembly for measuring the water level of a food industry machine has a water tank holding water to be heated, a load cell installed underneath the water tank so that a weight of the water tank holding the water impinges on a strain gauge of the load cell, a controller for receiving an electric signal from the load cell proportionate to a weight of the water tank plus the water in the water tank and converting the weight to a water level of the water tank based on a pre-determined formula and a display structure for continuously displaying a water level of the water in the water tank. The water level measurement device stays dry and free of scale deposits.

Abstract: An assembly for measuring the water level of a food industry machine has a water tank holding water to be heated, a load cell installed underneath the water tank so that a weight of the water tank holding the water impinges on a strain gauge of the load cell, a controller for receiving an electric signal from the load cell proportionate to a weight of the water tank plus the water in the water tank and converting the weight to a water level of the water tank based on a pre-determined formula and a display structure for continuously displaying a water level of the water in the water tank. The water level measurement device stays dry and free of scale deposits.