摘要:
An electronic device and method for automatic generation of a sorted list of items related to a seed item comprises a relatedness determinator to compare the seed item with a plurality of further items and to determine a relatedness value for each further item with respect to the seed item. The device also has a clustering engine to cluster the further items by determining a relative relatedness between (among) the further items. Each further item is assigned to one cluster. The device also has a list generator to generate a sorted result list by sorting the further items according to both, their relatedness value and their belonging (or membership) to a cluster in that once an item is added to the sorted list, the relatedness value depending ranking of the further items in that cluster is at least momentary lowered so as to promote adding items of further clusters.
摘要:
An electronic device and method for automatic generation of a sorted list of items related to a seed item comprises a relatedness determinator to compare the seed item with a plurality of further items and to determine a relatedness value for each further item with respect to the seed item. The device also has a clustering engine to cluster the further items by determining a relative relatedness between (among) the further items. Each further item is assigned to one cluster. The device also has a list generator to generate a sorted result list by sorting the further items according to both, their relatedness value and their belonging (or membership) to a cluster in that once an item is added to the sorted list, the relatedness value depending ranking of the further items in that cluster is at least momentary lowered so as to promote adding items of further clusters.
摘要:
The present invention relates to an operating method of operating a recommender system, a filtering apparatus (260) for a recommender system (200), a recommender system and a corresponding computer program. An idea of the invention is to automatically learn for a user A in a social network, which recommendations of contacts of user A, who are also members of the social network, are relevant with respect to a genre into which user A is interested in. A learning algorithm is used to interpret feedback from user A in response to receiving recommendations from his/her contacts. Thereby, for each combination of a contact and a genre, a relevance-taste index can be determined. The determined relevance-taste index is subjected to a filter. Only such recommendations are provided to user A, whose associated relevance-taste indices fulfill a filtering criterion. Thereby, the amount of irrelevant recommendations submitted to user A can be significantly reduced.
摘要:
The present invention relates to an apparatus, a method and a computer program product for controlling a recommender system, wherein a user profile normally used by a recommender to predict user ratings is employed to generate a targeted query for the remote database yielding a set of results that can be scored by the recommender and provided as suggestions to the user.
摘要:
A recommender engine for recommending content items to a user comprises a profile generation unit having a pre-profile input unit, which is configured to receive pre-profile data comprising pre-profile text data suitable for identifying entities of interest to a given user, and having a pre-profile analysis unit, the entities of interest and to generate an initial user profile data set for the given user from the extracted identification data; a query generation unit, to generate at least two queries semantically different from each other to be directed to at least one content repository; a content retrieval unit, to issue the generated queries to the content repository and to receive in response to the queries, content-related response data comprising respective hit lists and an interleaver unit to generate from the different hit lists a single recommendation list.
摘要:
The present invention relates to an operating method of operating a recommender system, a filtering apparatus (260) for a recommender system (200), a recommender system and a corresponding computer program. An idea of the invention is to automatically learn for a user A in a social network, which recommendations of contacts of user A, who are also members of the social network, are relevant with respect to a genre into which user A is interested in. A learning algorithm is used to interpret feedback from user A in response to receiving recommendations from his/her contacts. Thereby, for each combination of a contact and a genre, a relevance-taste index can be determined. The determined relevance-taste index is subjected to a filter. Only such recommendations are provided to user A, whose associated relevance-taste indices fulfil a filtering criterion. Thereby, the amount of irrelevant recommendations submitted to user A can be significantly reduced.
摘要:
The present invention relates to an apparatus (100), a video system, a method and a corresponding computer program and a computer readable medium for managing a personal channel (210) of a user (200). The apparatus (100) is configured to identify a personal channel data piece that specifies a content item that the user (200) of the personal channel might not like anymore. The apparatus (100) then suggests (142) to the user (200) to delete the corresponding identified personal channel data piece and thus assists the user (200) in keeping a clear personal channel (210).
摘要:
The present invention is related to a recommender system (100), a computer-implemented recommending method, a corresponding computer readable medium and a corresponding computer program. A recommender system (100) is configured to send an electronic suggestion signal (186) to a respective user (199) of a user database (140) in dependence of a first like-degree (164) of a specific item, which has been determined based on items that the respective user has already recommended to his contacts. The electronic suggestion signal (186) suggests the respective user (199) to recommend the specific item to one or more of his contacts (198). In that way, personal based recommendations (188) are stimulated.
摘要:
A recommender engine for recommending content items to a user comprises a profile generation unit having a pre-profile input unit, which is configured to receive pre-profile data comprising pre-profile text data suitable for identifying entities of interest to a given user, and having a pre-profile analysis unit, the entities of interest and to generate an initial user profile data set for the given user from the extracted identification data; a query generation unit, to generate at least two queries semantically different from each other to be directed to at least one content repository; a content retrieval unit, to issue the generated queries to the content repository and to receive in response to the queries, content-related response data comprising respective hit lists and an interleaver unit to generate from the different hit lists a single recommendation list.
摘要:
The present invention relates to a method of operating a recommender system arranged for being coupled to a computer implemented social network (200). The present invention furthermore relates to a corresponding computer program and to a corresponding recommender system (100) arranged for being coupled to a computer implemented social network (200). In particular, the present invention relates to a recommender system (100) being configured to provide a recommendation (172) relating to a content item being highly discussed in the social network (200), without the recommendation being necessarily based on some kind of a correlation between characteristics of a recipient (10) of the recommendation on the one side and characteristics of content items to be recommended and/or characteristics of contacts/friends of the recipient (10) on the other side.