CN106572365A - Program recommendation method and device - Google Patents
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- CN106572365A CN106572365A CN201510670450.6A CN201510670450A CN106572365A CN 106572365 A CN106572365 A CN 106572365A CN 201510670450 A CN201510670450 A CN 201510670450A CN 106572365 A CN106572365 A CN 106572365A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/251—Learning process for intelligent management, e.g. learning user preferences for recommending movies
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Abstract
The invention discloses a program recommendation method and device, relates to the field of radio and television, and solves a problem that the audience rating decreases because a television station cannot locate an adaptive play program. The method comprises the following steps: obtaining the play information of a program; determining the total play duration and the total number of times which are corresponding to each program, and the total play duration and the total number of times which are corresponding to each channel; and recommending a program according to the total play duration and the total number of times which are corresponding to each program, and/or the total play duration and the total number of times which are corresponding to each channel. The method is mainly used for improving the audience rating of the television station.
Description
Technical Field
The invention relates to the field of broadcast television, in particular to a program recommendation method and device.
Background
In the conventional television broadcasting system, each television station often selects a current popular program, that is, a program currently being broadcasted in a large number to broadcast in order to increase its own audience rating, and it is desirable to increase the audience rating of the television station by the popularity of the program. However, in the process of watching programs by a television station, the inventor found that: when multiple television stations broadcast the same program, the viewer does not need to watch the program on the same television station, but can watch the program on different television stations according to the own idle time.
Based on the watching behavior habit of the audience under the condition that a plurality of television stations play the same popular programs, the mode that the television stations select the current popular programs to play has the following defects: the method does not clearly position the type of the programs suitable for the television station to play, but the audience rating is likely to be reduced due to the distribution of the number of viewers by other television stations playing popular programs.
Disclosure of Invention
In view of this, the present invention provides a program recommendation method and apparatus, and mainly aims to solve the problem that a television station cannot locate a proper broadcast program to cause a decrease in audience rating.
According to a first aspect of the present invention, the present invention provides a program recommendation method, which is mainly used on a server side, and includes:
acquiring the playing information of a program;
determining the total playing time length and the total playing times corresponding to each program and the total playing time length and the total playing times corresponding to each channel according to the playing information;
and recommending the programs according to the total playing time length corresponding to each program and each channel and/or the total playing times corresponding to each program and each channel.
According to a second aspect of the present invention, there is provided a program recommending apparatus, which is mainly used on the server side, comprising:
the acquisition unit is used for acquiring the playing information of the program;
the determining unit is used for determining the total playing time length and the total playing times corresponding to each program and the total playing time length and the total playing times corresponding to each channel according to the playing information obtained by the obtaining unit;
and the recommending unit is used for recommending the programs according to the total playing time length corresponding to each program and each channel and/or the total playing times corresponding to each program and each channel obtained by the determining unit.
By means of the above technical solution, the program recommendation method and apparatus provided in the embodiments of the present invention can obtain the playing information of the program from the server, respectively determine the total playing time and the total playing frequency corresponding to each program and the total playing time and the total playing frequency corresponding to each channel according to the playing information, and recommend the program according to the determined total playing time and/or the total playing frequency of each program and each channel. Compared with the prior art that the television station selects the current popular program, namely the program which is played more currently, to play, the method and the device can not only avoid the defect that the audience rating is reduced due to the distribution of the number of viewers by other television stations playing the popular program, but also recommend the effective popular program to the television station to play according to the total playing time and the total playing frequency of the program actually watched by the user, thereby improving the audience rating of the television station.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a flowchart illustrating a program recommendation method according to an embodiment of the present invention;
fig. 2 is a block diagram illustrating a program recommending apparatus according to an embodiment of the present invention;
fig. 3 is a block diagram illustrating another program recommending apparatus according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
In the existing television broadcasting system, each television station often selects a current popular program, that is, a program currently broadcasted more, to broadcast in order to increase its own audience rating, but this method cannot ensure that a user watches the popular program on the same television station, and therefore cannot ensure that the audience rating of the television station increases, and conversely, the audience rating decreases due to the diversion of the number of viewers by other television stations broadcasting the popular program.
In order to solve the above problem, an embodiment of the present invention provides a program recommendation method, which is mainly used on the server side, and as shown in fig. 1, the method includes:
101. and acquiring the playing information of the program.
Generally, in the process of watching a program by a user, a large amount of watching data is generated, the watching data records a large amount of playing information related to the program, and the collected watching data of the user is analyzed, so that the playing information related to the program, such as which channel the user watches through and how long the user watches each time, can be obtained, the actual watching condition of the program can be obtained, and a real hot-broadcast program can be found and recommended to a television station for playing. Therefore, in the embodiment of the present invention, when a popular program is located for recommendation, step 101 needs to be executed to obtain the playing information of the program.
102. And determining the total playing time length and the total playing times corresponding to each program and the total playing time length and the total playing times corresponding to each channel according to the playing information.
When acquiring user viewing data to acquire playing information of a program, the user viewing data sent by a client is usually received at preset time intervals, one piece of user viewing data records a set of associated playing information, and the playing information usually includes: playing sequence number, program identification, channel identification for playing the program, playing time length and other information. In the embodiment of the present invention, the playing information obtained in step 101 includes not only various programs, but also various channels, where different channels also play the same program. Since a group of play information recorded in a piece of user viewing data is associated, the total play time and the total play times of a program and the total play time and the total play times of a channel can be obtained according to the play information in different user viewing data.
103. And recommending the programs according to the total playing time length corresponding to each program and each channel and/or the total playing times corresponding to each program and each channel.
For a certain program (or channel), the longer the playing time of the program (or channel) is or the more the playing times of the program is, the more popular the program (or channel) is or the more the number of viewers is, so that the actual audience rating and the actual number of viewers of each program (or channel) can be determined according to the total playing time and the total playing times obtained from the actual playing information of the program (or channel). Therefore, in step 103, program recommendation can be performed according to the total playing time length and the total playing times corresponding to the playing program and the playing channel obtained in step 102.
According to the program recommendation method provided by the embodiment of the invention, the playing information of the programs can be obtained by the server, the total playing time and the total playing times corresponding to each program and the total playing time and the total playing times corresponding to each channel are respectively determined according to the playing information, and the programs are recommended according to the determined total playing time and/or the determined total playing times of each program and each channel. Compared with the prior art that the television station selects the current popular program, namely the program which is played more currently, to play, the method and the device can not only avoid the defect that the audience rating is reduced due to the distribution of the number of viewers by other television stations playing the popular program, but also recommend the effective popular program to the television station to play according to the total playing time and the total playing frequency of the program actually watched by the user, thereby improving the audience rating of the television station.
In order to better understand the method shown in fig. 1, the embodiments of the present invention will describe the steps in fig. 1 in detail by taking a television station "×" TV "with multiple channels as an example.
Since the user viewing data containing the playing information of the program is generated at the client, the source of collecting the user viewing data is the client. In the embodiment of the present invention, the user viewing data generated and transmitted by the client may be obtained by an execution subject (i.e., a server, hereinafter, referred to as a server), and the format of the data may be a format specification adopted by a client software development tool or a format specification specified in advance by a processing program of the execution subject. For example, if the data format specified in advance by the server is json format, the server performs deserialization operation on the user viewing data { "playid": 054c08ea64a "," program ": aaaa", "channel": tv1"," playtime ":14} in json format by using a javascript () function, i.e., a calculation string function, to obtain the playing information of the program viewed by the user, including playid:054c08ea64a, program: aaaa, channel:. tv1 and playtime: 14. Certainly, the user viewing data sent by the client has other formats such as key-value besides the json format in the above example, and the server may operate the user viewing data by calling each function according to a preset format specification to obtain the playing information of the program viewed by the user.
Further, since the user viewing data generated by the client includes the broadcast information of a large number of programs, the server needs to filter the collected broadcast information according to the requirement, and the broadcast information obtained from the server includes: play ID, program ID, channel ID, and play duration. Since one piece of user viewing data contains one group of associated playing information, after multiple groups of playing information are obtained, the total playing time of each program and the total playing time of each channel can be counted in sequence according to the program ID and the corresponding playing time thereof, the channel ID and the corresponding playing time thereof in each group of playing information. Similarly, according to the program ID and its corresponding broadcast ID, the channel ID and its corresponding broadcast ID in each set of broadcast information, the total broadcast times of each program and the total broadcast times of each channel are counted in sequence. For example, taking a plurality of json-format user viewing data as an example, the plurality of user viewing data are: { "play id": 05c "," program ": aa", "channel": tv1"," play ":70}, {" play id ": 05d", "program": cc "," channel ": tv2", "play": 50}, { "play": 05e "," program ":80}, {" play id ": 05f", "program": aa "," channel ": tv3", "play": 60}, { "play": 05g "," program ": dd", "channel": 539 ", wherein the total play time is 130 times, and the total play time is obtained for each user, and the total play time is 130 times; for the program "bb", the total playing time length is 80s, and the total playing times is 1; for the program "cc", the total playing time length is 50s, and the total playing times is 1; for the program "dd", the total playing time length is 90s, and the total playing times is 1; for the channel ". times. tv1", the total playing time length is 70s, and the total playing times is 1; for the channel "× tv2", the total playing time length is 50+80+90 ═ 220s, and the total playing time is 3 times; for the channel ". times. tv3", the total playing time length is 60s, and the total playing times is 1; as can be seen from the above description, the program and the channel with the longest total playing time are "aa" and ". times tv2", respectively, and the program and the channel with the largest total playing times are "aa" and ". times tv2", respectively.
After the total playing time length and the total playing times of each program and the total playing time length and the total playing times of each channel are obtained through the method, the real hot-broadcast program can be positioned according to the obtained total playing time length and the obtained total playing times for recommendation.
When the real hot-air programs are positioned for recommendation, as an optional implementation manner, the programs may be arranged in a descending order according to the size sequence of the total playing time length of each program, and simultaneously, the channels are arranged in a descending order according to the size sequence of the total playing time length of each channel, the program arranged at the first position (the program with the longest total playing time length) is positioned as the recommended program, the channel arranged at the first position (the channel with the longest total playing time length) is positioned as the recommended channel, and the positioned recommended program is recommended to the positioned recommended channel for playing. Because the total playing time length of the recommended program is longest, the recommended program can be considered as a real hot-cast program, and the recommended channel can be considered as a real hot-cast channel because the total playing time length of the recommended channel is longest, the audience rating can be effectively improved when the recommended program is played on the recommended channel. Of course, as another alternative embodiment, the programs may also be arranged in a descending order according to the size order of the total playing times of the programs, and meanwhile, the channels may be arranged in a descending order according to the size order of the total playing times of the channels, the program arranged at the first position (the program with the largest total playing times) is positioned as the recommended program, the channel arranged at the first position (the channel with the largest total playing times) is positioned as the recommended channel, and the positioned recommended program is recommended to the positioned recommended channel for playing. Since the total playing times of the recommended programs are the largest, the number of real viewers of the recommended programs can be considered to be the largest, the total playing times of the recommended channels can be considered to be the largest, and the number of real viewers of the recommended channels can be considered to be the largest, so that the audience rating can be effectively improved when the recommended programs are played on the recommended channels.
Generally, in a monitoring system for watching programs at a client, when the client opens a certain channel to play a program, the system automatically assigns a User Identification (UID) to the client, i.e. a play ID in this embodiment, and when another client opens a certain channel to play a program, the system automatically assigns a different play ID to another client. Therefore, when the playing IDs in a large amount of playing information received by the server are the same, it indicates that the playing information belongs to a continuous playing process, the playing times are not increased, and the playing time corresponding to the latest received playing ID is used as the playing time of the playing; when the client plays the program again after playing the program for a while, the system reassigns a playing ID to the client, and the newly assigned playing ID is different from the previous playing ID, which indicates that the playing information belongs to different playing processes, and the playing frequency is increased by 1.
Based on the above principle, there is still a certain disadvantage in the implementation of simply determining the recommended programs and the recommended channels according to the total playing time or simply determining the recommended programs and the recommended channels according to the total playing times. For example, taking the client a as an example, the client a may watch for three hours at a time,. times,. tv2, in this case, if the recommended program and the recommended channel are determined according to the total playing time, the client a has a higher influence coefficient on the determination of the recommended program and the recommended channel; if the recommended programs and the recommended channels are determined according to the total playing times, the client a has a lower influence coefficient on the determination of the recommended programs and the recommended channels. Similarly, the client a may also view the xv 2 three times, each time for ten minutes, in this case, if the recommended program and the recommended channel are determined according to the total playing time, the client a has a lower influence coefficient on the determination of the recommended program and the recommended channel; if the recommended programs and the recommended channels are determined according to the total playing times, the client a has a high influence coefficient on the determination of the recommended programs and the recommended channels. Therefore, when a large number of clients with the above viewing characteristics are counted, a certain error still exists when the recommended program and the recommended channel are determined simply by the total playing time length or the total playing times.
In order to eliminate interference caused by the playing information of the client having the above viewing characteristics to the determination of the recommended programs and the recommended channels, an embodiment of the present invention further provides an implementation manner, where the average playing duration of each program and the average playing duration of each channel are respectively calculated by the server according to the total playing duration and the total playing times of each program and each channel, where the longer the average playing duration of a program is, it is indicated that all the clients can view the program more continuously and stably on the overall level, and the longer the average playing duration of a channel is, it is indicated that all the clients can view the channel more continuously and stably on the overall level, so that the average playing duration can reflect the live programs and the live channels really on the overall level. In summary, the embodiments of the present invention can recommend the program with the longest average playing time as the recommended program to the channel with the longest average playing time for playing, so as to effectively improve the audience rating.
In addition, the client generates the viewing data at different times, that is, the user views the program at different time periods, so the server acquires different playing information at different time periods. When the server counts the playing information of the program, the playing information may be classified according to a preset time interval, the playing duration (or the playing times) of the located recommended program in each time interval is counted, a time period corresponding to the time interval with the largest playing duration (or the playing times) is taken as a playing time period (generally called a gold time period), and the located recommended program is played on the located recommended channel in the playing time period, so that the audience rating is further improved.
For example, when the channel C is determined as a recommended channel among the plurality of channels, and after the program 1 is determined as a recommended program among the plurality of programs, the playing time lengths of the program 1 in each time period may be counted respectively in 8 time periods of 0 point-3 point, 3 point-6 point, 6 point-9 point, 9 point-12 point, 12 point-15 point, 15 point-18 point, 18 point-21 point, and 21 point-24 point at a preset time interval of 3 hours, and if the playing time length of the program 1 in the time period of 18 point-21 point is the longest, it indicates that the user tends to watch the program 1 in the time period, so the program 1 may be played on the channel C in the time period of 18 point-21 point. Alternatively, the number of times of playing the program 1 in each time slot may be counted in the above 8 time slots, and the time slot with the largest number of times of playing the program 1 is taken as the preferred time slot, and the program 1 is played on the channel C in the preferred time slot. Similar to the above processing manner for further improving the audience rating, the embodiment of the present invention may also perform timing playing on the recommended program according to the type of the user. For example, if the located recommended program (program 1) is an animation program, the audience population of the animation program is children, so that a time period (18 to 21 points) after the children are school and before the children are asleep can be used as a preferred time period, and the program 1 can be played on the recommended channel (channel C) in the time period.
It should be noted here that the playing information described in the above embodiments includes multiple types of playing information, including but not limited to: live broadcast information, on-demand broadcast information, and playback broadcast information.
Further, as an application of the method shown in fig. 1, the embodiment of the present invention provides a program recommending apparatus, which is usually located in the server, but may also be independent of the server but have a data interaction relationship with the server. As shown in fig. 2, the apparatus includes: an obtaining unit 21, a determining unit 22 and a recommending unit 23, wherein,
an acquisition unit 21 configured to acquire broadcast information of a program;
a determining unit 22, configured to determine, according to the playing information obtained by the obtaining unit 21, a total playing time and a total playing frequency corresponding to each program, and a total playing time and a total playing frequency corresponding to each channel;
the recommending unit 23 is configured to recommend the programs according to the total playing time length corresponding to each program and each channel and/or the total playing times corresponding to each program and each channel obtained by the determining unit 22.
Further, the obtaining unit 21 is configured to obtain a play ID, a program ID, a channel ID, and a play time length of the program.
Further, the determining unit 22 is configured to sum the program IDs in the playing information and the playing durations corresponding to the channel IDs, respectively, to determine a total playing duration of each program and a total playing duration of each channel; the determining unit 22 is further configured to sum the numbers of the program IDs in the playing information and the playing IDs corresponding to the channel IDs, respectively, to determine the total playing times of each program and the total playing times of each channel.
Further, the recommending unit 23 is configured to recommend the program with the longest total playing time as a recommended program to the channel with the longest total playing time for playing; the recommending unit 23 is further configured to recommend the program with the largest total playing time as a recommended program to the channel with the largest total playing time for playing.
Further, as shown in fig. 3, the recommending unit 23 includes:
a calculating module 231, configured to calculate average playing durations of the programs and the channels according to the total playing durations and the total playing times of the programs and the channels, respectively;
the recommending module 232 is configured to recommend the program with the longest average playing time obtained by the calculating module 231 as a recommended program to the channel with the longest average playing time for playing.
The program recommending device provided by the embodiment of the invention can acquire the playing information of the programs by the server, respectively determine the total playing time and the total playing times corresponding to each program and the total playing time and the total playing times corresponding to each channel according to the playing information, and recommend the programs according to the determined total playing time and/or the total playing times of each program and each channel. Compared with the prior art that the television station selects the current popular program, namely the program which is played more currently, to play, the method and the device can not only avoid the defect that the audience rating is reduced due to the distribution of the number of viewers by other television stations playing the popular program, but also recommend the effective popular program to the television station to play according to the total playing time and the total playing frequency of the program actually watched by the user, thereby improving the audience rating of the television station.
In addition, since the client generates the viewing data at different time points every day, that is, the user views the program in different time periods, the server acquires different playing information in different time periods. When the server counts the playing information of the program, the playing information can be classified according to a preset time interval, the total playing times of the program or the channel in each time interval are counted, a time period corresponding to the time interval with the maximum total playing times of the program or the maximum total playing times of the channel is taken as a playing time period (generally called gold time period), and the positioned recommended program is played on the positioned recommended channel in the playing time period, so that the audience rating is further improved.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
It will be appreciated that the relevant features of the method and apparatus described above are referred to one another. In addition, "first", "second", and the like in the above embodiments are for distinguishing the embodiments, and do not represent merits of the embodiments.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. Moreover, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components in the title of the invention (e.g., means for determining the level of links within a web site) in accordance with embodiments of the invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
Claims (10)
1. A method for recommending programs, the method comprising:
acquiring the playing information of a program;
determining the total playing time length and the total playing times corresponding to each program and the total playing time length and the total playing times corresponding to each channel according to the playing information;
and recommending the programs according to the total playing time length corresponding to each program and each channel and/or the total playing times corresponding to each program and each channel.
2. The method of claim 1, wherein the playback information comprises: play ID, program ID, channel ID, and play duration.
3. The method of claim 2, wherein determining the total playing time and the total playing frequency corresponding to each program and the total playing time and the total playing frequency corresponding to each channel according to the playing information comprises:
summing the playing time lengths corresponding to the program ID and the channel ID in the playing information respectively, and determining the total playing time length of each program and the total playing time length of each channel;
and summing the numbers of the program IDs in the playing information and the playing IDs corresponding to the channel IDs respectively, and determining the total playing times of all the programs and the total playing times of all the channels.
4. The method of claim 1, wherein recommending programs according to the total playing duration and/or the total playing times of each program and each channel comprises:
recommending the program with the longest total playing time as a recommended program to the channel with the longest total playing time for playing; or,
recommending the program with the maximum total playing times as a recommended program to the channel with the maximum total playing times for playing; or,
and respectively calculating the average playing time of each program and each channel according to the total playing time and the total playing times of each program and each channel, and recommending the program with the longest average playing time as a recommended program to the channel with the longest average playing time for playing.
5. The method according to any one of claims 1-4, wherein the playback information comprises at least one of:
broadcasting the information in a live way;
requesting playing information;
and playing back the playing information.
6. An apparatus for recommending programs, said apparatus comprising:
the acquisition unit is used for acquiring the playing information of the program;
a determining unit, configured to determine, according to the playing information obtained by the obtaining unit, a total playing time and a total playing frequency corresponding to each program and a total playing time and a total playing frequency corresponding to each channel;
and the recommending unit is used for recommending the programs according to the total playing time length and/or the total playing times of each program and each channel, which are obtained by the determining unit, corresponding to each program and each channel.
7. The apparatus according to claim 6, wherein the obtaining unit is configured to obtain a broadcast ID, a program ID, a channel ID, and a broadcast time length of the program.
8. The apparatus of claim 7,
the determining unit is used for respectively summing the playing time lengths corresponding to the program ID and the channel ID in the playing information, and determining the total playing time length of each program and the total playing time length of each channel;
the determining unit is further configured to sum the numbers of the program IDs in the playing information and the playing IDs corresponding to the channel IDs, respectively, to determine the total playing times of each program and the total playing times of each channel.
9. The apparatus of claim 6,
the recommending unit is used for recommending the program with the longest total playing time as a recommended program to the channel with the longest total playing time for playing;
the recommending unit is further configured to recommend the program with the largest total playing times as a recommended program to the channel with the largest total playing times for playing.
10. The apparatus of claim 6, wherein the recommending unit comprises:
the calculation module is used for respectively calculating the average playing time of each program and each channel according to the total playing time and the total playing times of each program and each channel;
and the recommending module is used for recommending the program with the longest average playing time length obtained by the calculating module to the channel with the longest average playing time length as a recommended program to play.
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