Abstract: A method and server for estimating interaction data are disclosed. A user and a digital content item that the user has interacted with form an occurred pair. The method includes retrieving (i) interaction data of a first type associated with respective ones of the occurred pairs, and (ii) interaction data of a second type associated with respective ones of the occurred pairs. The first type is distinct from the second type. The method also includes (i) applying a first model to the interaction data of the first type, thereby estimating interaction data of the first type for non-occurred pairs, and (ii) applying a second model to the interaction data of the second type, thereby estimating interaction data of the second type for the non-occurred pairs. The interaction data is estimated such that the non-occurred pairs are associated with respective estimated interaction data of the first type and second type.

Abstract: A method and a system for generating a digital content recommendation including a server configured to receive a request for the digital content recommendation. Based on the request, a set of candidate content items comprising a first content item and a second content item is generated. If the first content item is non-native to a recommendation system, the server is configured to determine if the first content item's popularity on the web and within the recommendation system align with each other. If there is a discrepancy above a threshold, a popularity adjustment score is assigned to the first content item. An adjusted set of candidate content item is generated based on the popularity adjustment score. The adjusted set of candidate content items is transmitted to the electronic device for displaying thereon.

Abstract: A method and server for estimating interaction data are disclosed. A user and a digital content item that the user has interacted with form an occurred pair. The method includes retrieving (i) interaction data of a first type associated with respective ones of the occurred pairs, and (ii) interaction data of a second type associated with respective ones of the occurred pairs. The first type is distinct from the second type. The method also includes (i) applying a first model to the interaction data of the first type, thereby estimating interaction data of the first type for non-occurred pairs, and (ii) applying a second model to the interaction data of the second type, thereby estimating interaction data of the second type for the non-occurred pairs. The interaction data is estimated such that the non-occurred pairs are associated with respective estimated interaction data of the first type and second type.

Abstract: A method and a system for generating a digital content recommendation is disclosed. The method comprises receiving a request for the digital content recommendation. Based on the request, a set of candidate content items comprising a first content item and a second content item is generated, each content item being assigned a ranking score. A system specific popularity score and a web popularity value is determined for the first content item. Based on the system specific popularity score and the web popularity value, a popularity adjustment score is assigned to the first content item. An adjusted set of candidate content item is generated based on the popularity adjustment score. The adjusted set of candidate content items is transmitted to the electronic device for displaying thereon.

Abstract: A method and server for presenting an item with potentially undesirable content to a user are disclosed. The method comprises: receiving a presentation request and user interactions; and generating a first list of items. Items are associated with respective features and web resources. Items are ranked in first list based on user-specific scores indicative of their estimated relevance to user. A given item is associated with a given rank in first list. The method also comprises: generating for items demoting scores indicative of a degree of undesirability of content originating from respective resources; generating for items adjusted scores based on user-specific and demoting scores; generating a second list where items are ranked according to adjusted scores, where the given item is associated with an adjusted rank in the second list; and triggering presentation of items from second list to user. The given item is presented at the adjusted rank.

Abstract: There is disclosed a method and a system for generating a search query completion suggestion. The method comprises receiving at least a portion of a search query and determining a first query component therein. A suggested second query component related to the first query component is generated, the search query completion suggestion containing the first query component and the suggested second query component. A list of potentially banned words is accessed to determine if the first query component matches any of the potentially banned words maintained therein. It is then determined if the potentially banned word is associated with a ban marker or an unban marker. A list of ban or unban markers respectively is accessed to determine if the suggested second query component matches any of the ban or unban markers maintained therein, the search query completion suggestion being generated or not generated accordingly.

Abstract: There is disclosed a method and a system for generating a search query completion suggestion. The method comprises receiving at least a portion of a search query and determining a first query component therein. A suggested second query component related to the first query component is generated, the search query completion suggestion containing the first query component and the suggested second query component. A list of potentially banned words is accessed to determine if the first query component matches any of the potentially banned words maintained therein. It is then determined if the potentially banned word is associated with a ban marker or an unban marker. A list of ban or unban markers respectively is accessed to determine if the suggested second query component matches any of the ban or unban markers maintained therein, the search query completion suggestion being generated or not generated accordingly.