Abstract: The present invention provides a method for ranking an incoming news feed comprising a header. The method comprising the steps of: receiving the incoming news feed with headers, extracting the incoming news feed's header, performing part-of-speech-tagging of the extracted header's words and associating to each of the header's words a code characterizing its grammatical function, generating the list of the incoming header's words codes, associating the generated list to the incoming news feed, as its pattern and computing a score for the incoming news feed according to predefined rules defining the score based on the its pattern.

Abstract: The present invention provides a method for ranking an incoming news feed comprising a header. The method comprising the steps of: receiving the incoming news feed with headers, extracting the incoming news feed's header, performing part-of-speech-tagging of the extracted header's words and associating to each of the header's words a code characterizing its grammatical function, generating the list of the incoming header's words codes, associating the generated list to the incoming news feed, as its pattern and computing a score for the incoming news feed according to predefined rules defining the score based on the its pattern.

Abstract: The present invention discloses a method of searching, identifying and classifying relevant content topics associated with a content object. The method comprising the steps of: receiving an input of a given content object, extracting candidate topics including diverse set of themes from content items of at least one data network source related to the given content object, wherein the candidate topics are identified by leading keywords according to predefined rules, creating topics' candidate lists that are organized according to target profiles and/or categories, calculating relevancy ranking based on analyzing statistics of keywords distribution in content items, calculating Interest/Popularity ranking based on calculating usages' statistics of content items related to the topics in the data network source, and/or of topics keywords in different mediums of the relevant data networks and calculating qualification Ranking by integrating normalized relevancy ranking with normalized Interest/Popularity ranking.

Abstract: A system a method and a module for recording programs comprising media content data, transmitted by a media content provider via communication channels, where each program is associated with metadata containing details relating to the program. The method comprises: identifying related programs; online recording of programs of at least one predefined communication channel, that were identified as related programs, according to predefined recording rules, using a recording device and enabling at least one viewer to select and view recorded programs, using a video-audio display unit. The identification of related programs is carried out by analyzing the metadata associated with each transmitted program identifying at least one relation of at least one relation type between at least some of the programs. The identified related programs are associated with programs groups, each group representing the relation relating all programs in the group and the relation type associated therewith.

Abstract: A system a method and a module for recording programs comprising media content data, transmitted by a media content provider via communication channels, where each program is associated with metadata containing details relating to the program. The method comprises: identifying related programs; online recording of programs of at least one predefined communication channel, that were identified as related programs, according to predefined recording rules, using a recording device and enabling at least one viewer to select and view recorded programs, using a video-audio display unit. The identification of related programs is carried out by analyzing the metadata associated with each transmitted program identifying at least one relation of at least one relation type between at least some of the programs. The identified related programs are associated with programs groups, each group representing the relation relating all programs in the group and the relation type associated therewith.

Abstract: A computer implemented data processing system for adaptively blending a plurality of content recommendation engines.

Abstract: A method for quick navigation between recommendation sets in a TV content discovery system includes mapping of several physical buttons on a remote controller to a single virtual representation button on a TV screen. The virtual representation button provides a one click function of selecting and changing recommendation domains and/or recommendation sets within the recommendation domains.