Method and apparatus for generating recommendation for content element

FIELD: information technology.

SUBSTANCE: like or dislike of a content element played on a personalised content channel is determined based on feedback from the user; the profile is updated based on the determined like or dislike, wherein that profile is associated with the personalised content channel and contains a plurality of attributes and attribute values associated with said content element, where during update, if like has been determined, a classification flag associated with each of said attributes and attribute values is set; the degree of liking is determined for at least on next content element based on said profile; and that at least one next content element is selected for playing on the personalised content channel based on the calculated degree of liking.

EFFECT: method for personalised filtration of content elements which does not require logic input or user identification procedures.

5 cl, 1 dwg

 

The technical FIELD TO WHICH the INVENTION RELATES.

The invention relates to generating a recommendation for at least one item of content, such as television programs and/or songs.

PRIOR art

The concept of virtual channels is known, for example, from the disclosure in WO-02/080552 and WO-00/40021. These channels allow easy navigation for managing recorded programs, and write, and delete personal video recording device (video recorder) (PVR). Personalized channels are channels whose content is not determined solely by the station broadcasting. In some systems, virtual channels, each personalized channel is defined by a Boolean filter, which usually affects the metadata associated with the input item content (television program), which is extracted from the electronic program schedule (EPG) so that only those content items, the metadata which satisfy the filter are included in the personalized channel. It essentially focuses on many users, since each user can define their own set of channels, without requiring explicit identification of the user.

Although filters are enabled with the ability to set certain channels, they are like that is not particularly suitable for such settings to the special taste of the user or users personalized channel content since this is a more complicated task. For example, a personalized channel may contain recorded on the disc romantic drama, but the user could see only some of them, while others are of less interest to the user. The detection of differences between these two categories of movies, not just and, in particular, possibly unknown to the user.

Defined virtual channels use the tool recommendations, to determine which content items should be played in the virtual channel. Funds recommendation for television programs are becoming more and more popular in the personal recorders, such as TiVo to provide more personalized service by studying the preferences of the user (or user groups), for example, by storing and analyzing the behavior when viewing and, on the basis of these preferences, recommend or automatically record programs of interest to the user(s). Compared with Boolean filters, tools, recommendations are less predictable, meaning they can do custom user suggestions.

Article "An Agent System for Media on Demand Services", Ph.D. Nygren (Nygren) and others, PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON THE PACTICAL APPLICATION OF INTELLIGENT AGENTS AND MULTI-AGENT TECHNOLOGY, April 22, 1996, str-454, rusk which indicates the tool recommendations recommendations for content items based on the adaptive profile.

However, for such systems on the basis of the recommendations of the characteristic disadvantage that it must perform a user identification, for example, by means of the procedure of logic input or through the use of facial recognition to verify what the user operates the device, and whose preferences to use.

The INVENTION

The task of this invention is to create a method of generating recommendations, which does not require a procedure, logic inputs or face recognition.

In accordance with an aspect of the current invention provides a method of generating a recommendation for at least one content item containing phases in which: define affection or dislike in relation to the content item to be played on a personalized channel content; updating the profile based on the definition of liking or dislike, and the profile associated with these personalized channel content; and generating a recommendation for at least one further content item on the basis of the profile. A content item may be, for example, a television program or song. Subsequent content item may be ranked content item. This is especially advantageous in personalized music the channels. Using the method according to the invention, each of the multiple users or groups of users can be configured to differ from other personalized channel content, each of which is adapted to the like and dislike of a user or groups of users, adjust to the appropriate personalized channels of content. Furthermore, the method according to the invention provides the possibility to extrapolate the taste of individuals to taste that they demonstrate while watching TV as a group.

The method may additionally include the step in which each filter element content on these personalized channel content so that only content items that meet the predefined selection criteria, will be played on these personalized channel. This reduces the problem of "cold start". Initially, the tool recommendations are not able to provide the user with any significant proposal is a well-known problem of "cold start". Tool recommendations may take a long time to learn the user's preferences, because it must generate a sufficient understanding of the taste of the user throughout the range of available programs. Filtering to the of ntent simple Boolean filter guarantees, the user can immediately enjoy personalized content on its personalized channel(s).

In accordance with another aspect of the current invention is a device for generating a recommendation for at least one content item, comprising: storage profile storage profile associated with a personalized channel content and updated based on the determined of liking or dislike of the content item to be played on these personalized channel content; and at least one tool recommendations for generating a recommendation for at least one further content item on the basis of the profile.

The profile may also be updated based on a particular liking or dislike in relation to a content item that was selected from the list of items presented to the user as a text list or as playing announcements or advertising.

When combining the concept of personalized channel content and technology tools recommendations, recommendations are made based on the profile of personalized channel content. Thus, funding recommendations always work within the context of a personalized channel content. Therefore, even without the data profile and the and only with a small profile data, the combination of a personalized channel and technology recommendations results in a reasonable "best practices", although still not quite personalized. For example, the recommendation of the news within the news channel always perceived as correct. Further, as a means of recommendations associated with personalized channel content, it is the effect on the condensed set of content items.

Next, the system collects user feedback to indicate affection or dislike, within the context of a personalized channel content. It is very suitable for multi-user work, because it generated the appropriate profile for personalized channel content. And the concept of personalized channels of content you can create channels for individuals and for groups of people. Also, this eliminates the problem of user identification for these recommendations.

Tool recommendations can be associated with different subsets of personalized channels of content. For example, the device may contain one common tool recommendations associated with all the personalized TV content, or the device may contain one remedy recommendations on each personalized channel content.

LIST of FIGURES DRAWING

For the final understanding of the current invention made tsilka to the following description together with the accompanying drawing, which depicts a block diagram of a device according to a variant implementation of the current invention.

DETAILED DESCRIPTION

The device according to the variant of implementation of the current invention shown in the drawing. This device includes an information repository 103 data connected to the source 101. The source 101, which provides the information data may be, for example, electronic program schedule (EPG) on the Internet. Information storage 103 data connected with several filters 105_1, 105_2, 105_3. Each filter 105_1, 105_2, 105_3 associated with the first, second and third personalized channel content. Although this embodiment shows three channels, it can be understood that the device may include any number of channels. The output of each filter 105_1, 105_2, 105_3 connected with the corresponding tool 107_1, 107_2, 107_3 recommendations.

Therefore, each personalized channel content associated tool recommendations. Each tool 107_1, 107_2, 107_3 recommendations and, therefore, a personalized channel content is the profile 109_1, 109_2, 109_3 associated with it. Each output of each device recommendations 107_1, 107_2, 107_3 connected to the scheduler 111. The scheduler 111 is connected with the storage device 113, such as a set of hard disks, and with the selector 115. Inform the information storage 103 data also connected with a source of 117 content. Source 117 content provides at least the audio/video information in the form of a broadcast or on request. In addition, the content source may, for example, to provide information, such as EPG information in the retrace interval vertical blanking of the video signal, or metadata MPEG-7 related to specific segments of the content item (for example, border scene of the movie). The content source is connected to the selector 115, which includes at least one set of tools for the selection of content (e.g. DVB tuner)that allows you to select one or more content items for recording on the storage device 113. The output of the selector 115 is connected with the storage device 113.

Now will be described the operation of the device according to the drawing. Information data of the current content item to be playing on a personalized channel of content, gather on the Internet 101 or receive other way, for example, by passing in the interval retrace vertical scan of analog signals of broadcast or via a DVB transport streams, or combinations of any of the above. A content item may be a television program, the data stream containing video and/or audio data, or segment of a program, etc.

Information included in Semynozhenko attributes and attribute values, associated with a content item, such as title, actors, Director and genre.

Each profile 109_1, 109_2, 109_3 based on the information data, together with data indicating the "sympathy" or "dislike". "Sympathy" and "antipathy" based on feedback regarding the content items that are passed through the associated filters 105_1, 105_2, 105_3. This feedback is given to users who use a specific personalized channel content.

Specify "like" or "dislike" can be done in several ways. For example, a user using the remote control, can be specified for the currently selected content item or the specified attribute of the current element content "sympathy" or "dislike"by pressing the corresponding buttons on the remote control while viewing this current content item. Alternatively, it may be the observation of user behavior. For example, if the user is viewing the current content item over a predetermined time interval (for example, 20 minutes), it can automatically specify "love". In more advanced settings are provided or calculated degree of "friendliness" in a discrete or continuous scale, rather than a simple classification into "liking" or "neplatn is". Various algorithms funds recommendations, which are thus already known in the art and will not be described in detail here.

The indication of "friendliness" sets a flag classification, which is associated with each attribute and the attribute value of the current content item, and it is saved in the profile 109_1, 109_2, 109_3 for personalized channel content, which includes the current content item.

When the information data of the content item are passed through one or more of the filters 105_1, 105_2, 105_3, these data are forwarded to funds recommendations from a number of funds recommendations 107_1, 107_2, 107_3. Each of the respective funds recommendations calculates the degree of liking on the basis of the associated profile from the profiles 109_1, 109_2, 109_3 for this subsequent content item. The information data associated with the subsequent content item, then forwarded together with the calculated degree of affection scheduler 111, which subsequently is a recording schedule that will be used for scheduling the recording of a content item, the proposed means of recommendations 107_1, 107_2, 107_3, in the storage device 113. In particular, the scheduler 111 is first of all to consider the content items with a high degree of sympathy with the consideration of the Institute's enough new content personalized for each channel of content.

Used for this purpose is the recording schedule is calculated by the scheduler 111 to instruct the selector 115 to select content items available from the source 117 content to write them in the storage device 113.

In accordance with the device according to the preferred variant of the implementation of each tool recommendations 107_1, 107_2, 107_3 used as additional personalized filter, for example, in series with the filters 105_1, 105_2, 105_3.

Although the preferred implementation of the current invention, are explained in the accompanied drawings and described in the foregoing detailed description, it is understood that the invention is not limited to the disclosed variants of its implementation, but are subject to many modifications without going beyond the scope of the invention defined by the following claims.

1. How personalized filtering of content items containing phases in which:
define affection or dislike in respect of the content item to be played on a personalized channel content based on feedback from users;
update the profile based on a specific liking or dislike, and this profile associated with a personalized channel content and contains many attributes and attribute values associated the data with the said content item, during upgrade, if it is determined friendliness, set a flag classification associated with each of the attributes and attribute values;
calculate the degree of liking for at least one further content item on the basis of the profile and
choose this at least one further content item for playback on a personalized channel content based on the calculated degree of affection.

2. The method according to claim 1, additionally containing a stage at which: filter each item of content on a personalized channel of content so that only content items that meet the predefined selection criteria are played on a personalized channel content.

3. The method according to claim 1, additionally containing a stage at which: provide a view of the mentioned at least one recommended further content item on a personalized channel content.

4. Device for personalized filtering of content items that contain:
profile store for storing a profile associated with a personalized channel content and updated on the basis of liking or dislike in respect of the content item to be played on a personalized channel content, and affection or ariadni is determined based on feedback from users this profile contains many attributes and attribute values associated with the said item of content, and if it is determined favour when you update the profile flag is set classification associated with each of the attributes and attribute values;
at least one tool recommendations for calculating the degree of liking for at least one further content item on the basis of the profile and
the picker to select this at least one further content item for playback on a personalized channel content based on the calculated degree of affection.

5. The device according to claim 4, further containing a filter for filtering each item of content on a personalized channel of content so that only content items that meet the predefined selection criteria are played on a personalized channel content.



 

Same patents:

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19 cl, 5 dwg

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51 cl, 21 dwg

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22 cl, 19 dwg

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5 cl, 1 dwg

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21 cl, 12 dwg

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13 cl, 1 dwg

FIELD: radio engineering, communication.

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13 cl, 1 dwg

FIELD: information technology.

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21 cl, 13 dwg

FIELD: information technology.

SUBSTANCE: like or dislike of a content element played on a personalised content channel is determined based on feedback from the user; the profile is updated based on the determined like or dislike, wherein that profile is associated with the personalised content channel and contains a plurality of attributes and attribute values associated with said content element, where during update, if like has been determined, a classification flag associated with each of said attributes and attribute values is set; the degree of liking is determined for at least on next content element based on said profile; and that at least one next content element is selected for playing on the personalised content channel based on the calculated degree of liking.

EFFECT: method for personalised filtration of content elements which does not require logic input or user identification procedures.

5 cl, 1 dwg

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