CN113159855B - Live broadcast recommendation method - Google Patents
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- CN113159855B CN113159855B CN202110482943.2A CN202110482943A CN113159855B CN 113159855 B CN113159855 B CN 113159855B CN 202110482943 A CN202110482943 A CN 202110482943A CN 113159855 B CN113159855 B CN 113159855B
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Abstract
A live broadcast recommendation method is used for live broadcast recommendation for BCB e-commerce platform users and comprises the following steps: acquiring user information; calculating the recommendation index of each live broadcast to the user; calculating a recommendation index of the live broadcast similar user, and representing the matching degree of the similar user of the user and the live broadcast; calculating the recommendation degree of live broadcast, including the recommendation degree of the demand live broadcast and the recommendation degree of the technology-related live broadcast; generating a recommendation list, including a demand live broadcast recommendation list and a technology-related live broadcast recommendation list; and generating a user recommendation list, and generating the user recommendation list according to the technology direction and/or the demand direction as the direction in which the user is interested, and the technology-related live broadcast recommendation list and/or the demand live broadcast recommendation list. According to the method, the user can quickly and accurately acquire the effective information through recommendation, the interference of other information and invalid information is reduced, and the working efficiency and experience of the user are improved.
Description
Technical Field
The invention relates to the technical field of live broadcasting, in particular to a method for carrying out live broadcasting recommendation on a BCB e-commerce platform user.
Background
In recent years, china B2B electronic commerce grows rapidly, and even prizes fields which have trillion market scales and are relatively traditionally closed for a long time, such as steel, machinery, chemical engineering, raw materials and the like. For the B2B model, it is a business-oriented and inter-business transaction model. Aiming at the live broadcast of a BCB electronic commerce platform, the live broadcast types of the current platform mainly include new technology live broadcast, technical requirement live broadcast and purchase requirement live broadcast (the purchase requirement live broadcast is simply called as requirement live broadcast, and the new technology live broadcast and the technical requirement live broadcast are collectively called as technology-related live broadcast). In order to enable a user to more accurately acquire effective information and reduce interference of other information and invalid information, a certain recommendation method is adopted for live broadcast recommendation of the user, so that the user can quickly acquire information required by the user from a large amount of information.
Disclosure of Invention
The purpose of the invention is: aiming at the problems described in the background technology, the invention provides a method for live broadcast recommendation for a BCB e-commerce platform user, which can quickly and accurately provide live broadcast recommendation for the user.
In order to solve the problems, the technical scheme adopted by the invention is as follows:
a live broadcast recommendation method is used for live broadcast recommendation for BCB electronic commerce platform users and is characterized by comprising the following steps:
step one, acquiring user information which comprises information of a user center, user history records and information of the user centers of other users consistent with the information of the user company;
step two, calculating recommendation indexes of each live broadcast to users, wherein the live broadcast comprises new technology live broadcast, technical demand live broadcast and purchase demand live broadcast; the purchase demand live broadcast is called demand live broadcast for short, and the new technology live broadcast and the technical demand live broadcast are called technical related live broadcast;
calculating recommendation indexes of live broadcast similar users, and expressing the matching degree of the similar users of the users and live broadcast;
step four, calculating the recommendation degree of live broadcast, including the recommendation degree of the required live broadcast and the recommendation degree of the technology-related live broadcast;
generating a recommendation list which comprises a demand live broadcast recommendation list and a technology-related live broadcast recommendation list;
and step six, generating a user recommendation list, and generating the user recommendation list according to the technical direction and/or the demand direction of the user interested direction and the technical related live broadcast recommendation list and/or the demand live broadcast recommendation list.
Further, in the first step:
the information of the user center comprises information during user registration and later maintenance; specifically, the interested directions and corresponding labels of the user comprise technical related live broadcast category labels and live broadcast category labels required; a region of the user including a service region of a supplier identity and a delivery region of a buyer identity;
the user history records comprise live broadcast viewing records of the user and speech records in live broadcast;
the method comprises the steps of obtaining information of user centers of other users consistent with user company information, wherein the information comprises information of unified company user registration and later maintenance, specifically interested directions and corresponding labels of the users, and the information comprises technical related live broadcast categories and demand labels.
Further, in the second step, the calculation of the recommendation index requiring live broadcasting includes:
recommendation index for live broadcast of demand:
wherein, f i The ith weight is preset, nf =5 and is properly adjusted according to the later use condition; initial setting: f. of 1 ＝45，f 2 ＝10，f 3 ＝30，f 4 ＝-0.5，f 5 ＝10；
(1)F 1 E.g., {0,0.125,0.25,0.5,1}, which represents the matching degree of the interest index of the user and the label required for live broadcast, wherein the interest label required by the user and the label required for live broadcast are final-level labels; the tags are divided into four stages, namely a first-stage tag, a second-stage tag, a third-stage tag and a last-stage tag;
f, if the final-stage label of the demand interest of the user is matched with the final-stage label of the demand live broadcast, if the matching is successful 1 =1, if the matching fails, the matching is performed on the upper level label, namely the third level label;
if the third-level tag of the user's interest is matched with the third-level tag of the live broadcast, F 1 =0.5, if the matching fails, the matching is continued to the upper level label, namely the second level label;
if the secondary label of the user's interest is matched with the secondary label of the live broadcast, F 1 =0.25, if the matching fails, the matching is continued to the upper-level label, namely the first-level label;
if the first-level label of the user's interest is matched with the first-level label of the live broadcast, F 1 =0.125, if the matching fails, F 1 ＝0；
(2)F 2 E {0,1}, representing the userThe matching degree of the area and the delivery place requiring live broadcast, the specific service area and the delivery place are both specific to province, namely, the matching is successful on province address, and the delivery or transaction can be carried out by default;
if the area where the user is the buyer is the same as the delivery request place requiring live broadcasting, F 2 ＝1；
If the user is a supplier's supply area containing the request delivery place for live broadcast, F 2 ＝1；
If the above condition is not satisfied, it indicates that the region of the user fails to match the delivery place requiring live broadcast, i.e., F 2 ＝0；
(3)F 3 ∈[0，1]The matching degree of the historical data labels of the user and the labels needing live broadcast is represented, and the number set num of times that the user clicks the labels needing live broadcast and speaks in the needing live broadcast in a near days is counted;
num label number of times of live broadcast of demand with label click being label × 2
+ number of speech times of live broadcast with label as table
The num represents a calculation frequency set of historical clicking and speaking of all the last-stage labels in a near days of a user, and the number of elements in the num is the same as that of the last-stage labels; max (num) is the maximum value in the number of calculations set num, and when max (num) =0, there is F for any demand live broadcast 3 =0, without calculation by the above formula; num label Representing the corresponding calculation times of the last-stage label table; f 3 Representing the matching degree of the required live broadcast under the historical data label of the user;
(4)F 4 ≥0F 4 e [0, infinity)), representing the matching degree of the current time of the user and the required live broadcast time, wherein the current time refers to the latest refreshing time, the login time is used as the standard if the user does not refresh after logging in, and the latest refreshing time is used as the standard if the user has refreshing action after logging in; the live broadcast state is divided into:
if the live broadcast is in an on-going state, F 4 ＝0；
If the live broadcast is in the state of waiting for live broadcast, F 4 = | current time-required live start time |. Wherein F 4 Representing an hour difference between the two times, wherein the start time of the demand live broadcast is the start time of the demand live broadcast in a state to be live broadcast, which is a certain time point in the future and is not arrived temporarily;
if the live broadcast is required to be in the live broadcast ending state, F 4 = current time-required live broadcast end time | +2, where | current time-required live broadcast start time | represents an hour difference between two times, and the required live broadcast end time is a certain time point of history of the end time of the required live broadcast in a live broadcast end state, which has already occurred;
(5)F 5 the method comprises the following steps that (1) an element {0,0.125,0.25,0.5,1} represents the matching degree of interest indexes of users of the same company with users and tags needing live broadcast, the interest indexes of the users of the same company with the users are called enterprise tags, the enterprise interest tags and the tags needing live broadcast are final-level tags, and the tags are divided into four levels, namely first-level tags, second-level tags, third-level tags and final-level tags;
f, if the enterprise interest final label is matched with the final label needing live broadcast and the matching is successful 5 =1, if the matching fails, the matching is carried out on the upper level label, namely the third level label;
if the enterprise interest third-level label is matched with the third-level label needing live broadcast, F if the matching is successful 5 =0.5, if the matching fails, the matching is continued to the upper level label, namely the second level label;
if the enterprise interest secondary label is matched with the secondary label required for live broadcast, F is carried out if the matching is successful 5 =0.25, if the matching fails, the matching is continued to the upper-level label, namely the first-level label;
if the primary label of the enterprise interest label is matched with the primary label needing live broadcasting, F is performed if the matching is successful 5 =0.125, if the matching fails, F 5 ＝0。
Further, in the second step, the calculating of the recommendation index of the technology-related live broadcast includes:
recommendation index for technical-related live broadcasts:
wherein d is i The weight of the ith weight is preset, nd =5 and is properly adjusted according to the later use condition; initial setting: d 1 ＝45，d 2 ＝10，d 3 ＝30，d 4 ＝-0.5，d 5 ＝10
(1)D 1 E {0,1}, representing the matching degree of the new technical interest index of the user and the tags of the technical related live broadcasts, if the new technical interest index of the user contains the tags of the technical related live broadcasts, D 1 =1; otherwise, if the new technical interest index of the user does not contain the tag of the technical related live broadcast, D 1 ＝0；
(2)D 2 E {0.2,0.4,0.7,1}, which represents the score of the stage of the new technology in the technology-related live broadcast;
if the new technology in the technology-related live broadcast is in the mass production stage, D 2 ＝1；
If the stage of the new technology in the technology-related live broadcast is a new product test stage, D 2 ＝0.7；
If the stage of the new technology in the technology-related live broadcast is an experimental demonstration stage, D 2 ＝0.4；
If the stage of the new technology in the technology-related live broadcast is the scheme demonstration stage, D 2 ＝0.2；
(3)D 3 ∈[0，1]The matching degree of the historical data labels of the user and the labels of the technology-related live broadcasts is represented, and the times d _ num of clicking the labels of the technology-related live broadcasts and speaking in the technology-related live broadcasts in d _ days of the user are counted;
d_num label number of technical related live broadcasts (= click label is stable) < 2 >
+ technology-related live broadcast speaking times with label of cable
D _ num represents a calculation frequency set of historical clicks and speeches of all new technical interest tags in a d _ days near by a user, and the number of elements in d _ num is the same as that of the new technical interest tags; max (D _ num) is the maximum value in the calculation number set D _ num, and when max (D _ num) =0, there is D for any required live broadcast 3 =0, without calculation by the above formula; d _ num label Representing the corresponding calculation times of the interest tag of the new technology, namely the table; d 3 Representing the matching degree of the related live broadcast of the technology under the historical data label of the user;
(4)D 4 e [0, + ∞), representing how well the user's current time matches the technology-related live time;
the state of the related live broadcast is divided into:
if the technology-related live broadcast is in an on-going state, D 4 ＝0；
If the technology-related live broadcast is in a state of waiting for live broadcast,
D 4 = | current time-technology-related live start time |; wherein D 4 Representing the time difference of days between the two times, wherein the technology-related live broadcast starting time is a starting time of the technology-related live broadcast in a state of waiting for live broadcast, is a certain time point in the future and temporarily does not arrive;
if the technology-related live broadcast is in a live broadcast end state,
D 4 = | current time-technology-related live end time | +2; wherein | the current time-the required live broadcast start time | represents a difference in days between two times, and the technology-related live broadcast end time is a certain time point in history, at which the technology-related live broadcast end time in the live broadcast end state has occurred;
(5)D 5 the element is {0,1}, which represents the matching degree of the new technical interest category index of the user of the same company with the user and the technical related live broadcast category label, and the new technical interest category index of the user of the same company with the user is called an enterprise new technical labelSigning;
if the enterprise new technology interest label is matched with the label of the related technology live broadcast, and the matching is successful, D 5 =1, failure of matching then D 5 ＝0。
Further, the third step of calculating the recommendation index of the live broadcast similar user includes the following steps:
1. counting similar users with users, selecting n users with higher similarity, called similar users, temporarily setting n =20, and properly adjusting the value of n according to the use condition in the later period; calculating the similarity between the current user and other users, wherein the first n other users with larger similarity values are used as the similarity users of the current user;
the similarity between two users is calculated as:
wherein, sim L-u The similarity between L and U is represented, the L and the U respectively represent tag sets of two users, and the tag sets comprise user new technology interest tag sets, required final level interest tag sets and tags corresponding to elements with element values larger than sn in a user calculation number set num; the value of sn is temporarily set as sn =5, and adjustment is carried out in the later period according to the use condition; l | represents the length of the tag set L, i.e. the number of elements in the tag set L; l | n |, U |, represents the length of the intersection of the tag set L and the tag set U, i.e., the number of elements in the intersection;
2. and counting the number of similar users of each live broadcast, which are checked in the last login and current latest refreshing time of the user. And calculates the TS value for it:
wherein u represents the number of people who click the live broadcast by similar users (no repeated calculation), and n represents the number of the similar users; live not viewed has TS =0, and does not need to be calculated by the above equation.
Further, the fourth step of calculating the recommendation degree of the live broadcast includes:
recommendation degree of demand-related live broadcast: RF = F + RF × TS
Recommendation degree of related live broadcast: RD = D + RD × TS
Wherein, rf, rd are used for controlling the important degree that the recommendation index of similar user of live broadcast occupies in the live broadcast recommendation degree, and rf, rd are tentatively 7, and the later stage is adjusted properly according to the use thing.
Further, in the fifth step, a recommendation list is generated, which comprises a demand live broadcast recommendation list and a technology-related live broadcast recommendation list; the method comprises the following steps:
sequencing the demand live broadcasts according to the recommendation degrees of the demand live broadcasts from large to small to form a demand live broadcast recommendation list; and sequencing the related live broadcasts of the new technology according to the recommendation degrees of the related live broadcasts from large to small to form a related live broadcast recommendation list of the technology.
Further, the step six of generating the user recommendation list includes:
(1) If the interested direction of the user is the technical direction, selecting the top tn live broadcast recommendation lists and the top qn live broadcast recommendation lists from the technology-related live broadcast recommendation lists, randomly displaying the demand live broadcast and the technology-related live broadcast without changing the front and back positions of the demand live broadcast recommendation lists and the technology-related live broadcast recommendation lists, and deleting the demand live broadcast recommendation lists and the technology-related live broadcast recommendation lists from the demand live broadcast list and the technology-related live broadcast recommendation lists; and analogizing in turn, namely (tn + qn) live broadcasts in the user recommendation list are taken as a group, wherein the group comprises tn technical-related live broadcasts and qn demand live broadcasts; the specific quantity is adjusted in the later use, and is temporarily set to be tn =5, qn =1; when the demand live broadcast recommendation list or the technology-related live broadcast recommendation list is empty, directly adding the recommendation list which is not empty to the tail part of the user recommendation list;
(2) If the interested direction of the user is a demand direction, selecting the top tm from the technology-related live broadcast recommendation list and the top qm from the demand live broadcast recommendation list, and randomly displaying the demand live broadcast and the technology-related live broadcast without changing the front and back positions of the demand live broadcast and the technology-related live broadcast recommendation list respectively, and deleting the demand live broadcast and the technology-related live broadcast recommendation list; and analogizing in turn, namely taking (tm + qm) live broadcasts in a user recommendation list as a group, wherein the group comprises tm technology-related live broadcasts and qm demand live broadcasts, and the specific number is adjusted in the later period of use and is temporarily set to be tm =10, qm =1; when the required live broadcast recommendation list or the technology-related live broadcast recommendation list is empty, directly adding the recommendation list which is not empty to the tail part of the user recommendation list;
(3) If the interested direction of the user is a required direction and a technical direction, selecting the first t in a technical related live broadcast recommendation list and the first q in the required live broadcast recommendation list, randomly displaying the required live broadcast and the technical related live broadcast without changing the front and back positions of the required live broadcast and the technical related live broadcast recommendation list, and deleting the required live broadcast and the technical related live broadcast recommendation list; and analogizing in turn, namely (t + q) live broadcasts in the user recommendation list are taken as a group, wherein t technical correlation live broadcasts and q demand live broadcasts are contained; the specific quantity is adjusted in the later use, and is temporarily set to be t =2, q =3; and when the demand live broadcast recommendation list or the technology-related live broadcast recommendation list is empty, directly adding the recommendation list which is not empty to the tail part of the user recommendation list.
The technical scheme provided by the embodiment of the invention has the beneficial effects that at least: the live broadcast recommendation method has the beneficial effects that: the user can be enabled to:
1. and effective information is rapidly and accurately acquired.
2. And the interference of other information and invalid information is reduced.
3. The working efficiency and the experience of the user are improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart of a live broadcast recommendation method disclosed in an embodiment of the present invention.
DETAILED DESCRIPTION OF EMBODIMENT (S) OF INVENTION
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.
The embodiment of the invention provides a live broadcast recommendation method, which comprises the following six steps:
acquiring user information which comprises information of a user center, user history records and information of the user centers of other users consistent with the user company information;
step two, calculating recommendation indexes of each live broadcast to users, wherein the live broadcast comprises new technology live broadcast, technical demand live broadcast and purchase demand live broadcast; the purchase demand live broadcast is called demand live broadcast for short, and the new technology live broadcast and the technical demand live broadcast are called technical related live broadcast;
calculating recommendation indexes of live broadcast similar users, and expressing the matching degree of the similar users of the users and live broadcast;
step four, calculating the recommendation degree of live broadcast, including the recommendation degree of the required live broadcast and the recommendation degree of the technology-related live broadcast;
generating a recommendation list which comprises a demand live broadcast recommendation list and a technology-related live broadcast recommendation list;
and step six, generating a user recommendation list, and generating the user recommendation list according to the technical direction and/or the demand direction of the user interested direction and the technical related live broadcast recommendation list and/or the demand live broadcast recommendation list.
The steps are described in detail as follows:
step one, acquiring user information which comprises information of a user center, user history records and information of the user centers of other users consistent with the user company information.
The information of the user center comprises information of user registration and later maintenance. Specifically, the interest direction and the corresponding labels of the user comprise category labels of related technical live broadcasts and category labels needing live broadcasts; the user's area, including the supplier-identified service area and the buyer-identified delivery area.
And the user history record comprises a live viewing record of the user and a speech record in the live broadcast.
And acquiring the information of the user centers of other users consistent with the information of the user company, wherein the information comprises the information of the registration and later maintenance of the unified company user. Specifically, the interest direction and the corresponding tag of the user include the category and demand tag of the related live broadcast of the technology.
And step two, calculating the recommendation index of each live broadcast to the user. Live broadcast comprises new technology live broadcast, technical requirement live broadcast and purchase requirement live broadcast; the purchase demand live broadcast is called demand live broadcast for short, and the new technology live broadcast and the technical demand live broadcast are called technical related live broadcast together. The calculation of the recommendation index of demand live broadcast and the calculation of the recommendation index of technology-related live broadcast (new technology live broadcast and technology demand live broadcast) are as follows:
1. recommendation index for live broadcast of demand:
wherein f is i The ith weight is set in advance, and nf =5 is appropriately adjusted according to the later use condition.
Initial setting: f. of 1 ＝45，f 2 ＝10，f 3 ＝30，f 4 ＝-0.5，f 5 ＝10。
(1)F 1 ∈{0，0.125，0.25,0.5,1}, which represents the matching degree of the interest index of the user and the label required to be live broadcast, and the interest label required by the user and the label required to be live broadcast are final-stage labels. The tags are divided into four levels, namely a first-level tag, a second-level tag, a third-level tag and a fourth-level tag (a last-level tag). The label with the hierarchical relationship comprises an electronic component (a first-level label), a chip (a second-level label), a logic chip (a third-level label) and a counter (a last-level label).
If the final-stage label of the demand interest of the user is matched with the final-stage label of the demand live broadcast, F is carried out if the matching is successful 1 =1, if the matching fails, the matching is performed on the upper level label, namely the third level label;
if the third-level label of the interest of the user is matched with the third-level label of the live broadcast, and if the matching is successful, F 1 =0.5, if the matching fails, the matching is continued to the upper level label, namely the second level label;
if the secondary label of the user's interest is matched with the secondary label of the live broadcast, F 1 =0.25, if the matching fails, the matching is continued to the upper level label, namely the first level label;
if the first-level label of interest of the user is matched with the first-level label of the live broadcast, F if the matching is successful 1 =0.125, if the matching fails, F 1 ＝0。
Such as: the demand interest tag of the user is a trigger, and the demand live tag is a counter. The hierarchical relationship of the triggers and counters is as follows:
| failure of matching | First stage | Second stage | Three-stage | Four stages | |
| Demand live broadcast | Electronic component | Chip and method for manufacturing the same | Logic chip | Counter with a memory | |
| Interest tag | Electronic component | Chip and method for manufacturing the same | Logic chip | Flip-flop | |
| F 1 | 0 | 0.125 | 0.25 | 0.5 | 1 |
Matching the interest label of the user and the label needing live broadcasting successfully on the third-level label, and F at the moment 1 ＝0.5。
(2)F 2 E {0,1}, which represents the matching degree of the user's area and the delivery place requiring live broadcasting, and the specific service area and the delivery place are both specific to province, namely, the matching is successful on the province address, namely, the delivery or transaction is acquiescent.
If the area where the user is the buyer is the same as the delivery request place requiring live broadcasting, F 2 ＝1；
If the user is the supplier's supply area containing the delivery place requiring live broadcast, F 2 ＝1；
If the above condition is not satisfied, it indicates that the region of the user fails to match the delivery place requiring live broadcast, i.e., F 2 ＝0。
(3)F 3 ∈[0，1]And the matching degree of the historical data label of the user and the label needing live broadcasting is shown. And counting a tag frequency set num for clicking the live demand broadcast and speaking in the live demand broadcast in a days of nearly days of the user.
num label Number of times of live broadcast of demand with label click being label × 2
+ number of speech times of live broadcast with label as table
The num represents a calculation frequency set of historical clicks and speeches of all final-stage labels in a user's near days, and the number of elements in the num is the same as that of the final-stage labels; max (num) is the maximum value in the number of calculations set num, and when max (num) =0, there is F for any desired live broadcast 3 =0, calculation need not be by equation above; num label Representing the corresponding calculation times of the last-stage label table; f 3 Indicating the matching degree of the requirement live broadcast under the historical data label of the user.
(4)F 4 E [0, + ∞)) representing how well the user's current time matches the desired live time. The current time, refers to the most recent refresh time. If the refreshing action exists after logging, the latest refreshing time is taken as the standard.
The live broadcast state is divided into:
if the live broadcast is required to be in an on-going state, F 4 ＝0；
If the live broadcast is in the state of waiting for live broadcast, F 4 = | current time-required live start time |. Wherein F 4 Representing an hour difference between the two times, wherein the start time of the demand live broadcast is the start time of the demand live broadcast in a state to be live broadcast, which is a certain time point in the future and is not arrived temporarily;
if the live broadcast is required to be in the live broadcast ending state, F 4 = current time-required live end time | +2. The current time-the live broadcasting start time of the demand represents the hour difference between the two times, the live broadcasting end time of the demand is a certain time point of the history of the live broadcasting end time of the demand in the live broadcasting end state, and the time point has already occurred.
(5)F 5 And E is equal to {0,0.125,0.25,0.5,1}, and represents the matching degree of the interest indexes of the users of the same company with the user and the tags needing live broadcasting, and the interest indexes of the users of the same company with the user are called enterprise tags. The enterprise interest tags and the tags requiring live broadcast are final-stage tags. The tags are divided into four levels, namely a first-level tag, a second-level tag, a third-level tag and a fourth-level tag (a final-level tag). The label with the hierarchical relationship comprises an electronic component (a first-level label), a chip (a second-level label), a logic chip (a third-level label) and a counter (a last-level label).
If the enterprise interest final label is matched with the final label requiring live broadcast, F is performed if the matching is successful 5 =1, if the matching fails, the matching is performed on the upper level label, namely the third level label;
f, if the enterprise interest third-level label is matched with the third-level label needing live broadcast and the matching is successful 5 =0.5, if the matching fails, the matching is continued to the upper level label, namely the second level label;
if the enterprise interest secondary label is matched with the secondary label required for live broadcast, F is carried out if the matching is successful 5 =0.25, if the matching fails, the matching is continued to the upper-level label, namely the first-level label;
if the primary label of the enterprise interest label is matched with the primary label required for live broadcasting, F is carried out if the matching is successful 5 =0.125, if the matching fails, F 5 ＝0。
2. Recommendation index for technical-related live broadcasts:
wherein d is i The i-th weight is set in advance, and nd =5 can be adjusted appropriately according to the later use condition.
Initial setting: d is a radical of 1 ＝45，d 2 ＝10，d 3 ＝30，d 4 ＝-0.5，d 5 ＝10
(1)D 1 And E {0,1}, and representing the matching degree of the new technical interest index of the user and the tags of the technical related live broadcasts. If the new technical interest index of the user contains a tag of the technical related live broadcast, D 1 =1; otherwise, if the new technical interest index of the user does not contain the tag of the technical related live broadcast, D 1 ＝0。
The types of the new technical labels are as follows:
(2)D 2 e {0.2,0.4,0.7,1}, which represents the score of the stage where the new technology in the technology-dependent live broadcast is located.
The following shows the stage situation of the new technology in the related live broadcasting.
If the new technology in the technology-related live broadcast is in the mass production stage, D 2 ＝1；
If the new technology in the technology-related live broadcast is in a new product test stage, D 2 ＝0.7；
If the new technology in the technology-related live broadcast is in the experimental demonstration stage, D 2 ＝0.4；
If the stage of the new technology in the technology-related live broadcast is the scheme demonstration stage, D 2 ＝0.2。
(3)D 3 ∈[0，1]Indicating how well the user's historical data tags match the tags of the technology-related live broadcast. And counting the times d _ num that the user clicks tags of the technical related live broadcast and the speech in the technical related live broadcast in a day of d _ days.
d_num label Number of technical related live broadcasts (= click label is stable) < 2 >
+ technology-related live broadcast speaking times with label of cable
D _ num represents a calculation frequency set of historical clicks and speeches of all new technical interest tags in a d _ days near by a user, and the number of elements in d _ num is the same as that of the new technical interest tags; max (D _ num) is the maximum value in the set of calculation times D _ num, and when max (D _ num) =0, there is D for any demand live broadcast 3 =0, calculation need not be by equation above; d _ num label Representing the corresponding calculation times of the interest label of the new technology, namely the table; d 3 Indicating the degree of match of the technology-related live under the user's historical data tags.
(4)D 4 E [0, + ∞)) representing how well the user's current time matches the technology-related live time.
The state of the related live broadcast is divided into:
if the technology-related live broadcast is in an on-going state, D 4 ＝0；
If the related live broadcast is in a state of waiting for live broadcast, D 4 = | current time-technology dependent live start time |. Wherein D 4 Representing the time difference of days between the two times, wherein the technology-related live broadcast starting time is a starting time of the technology-related live broadcast in a state of waiting for live broadcast, is a certain time point in the future and temporarily does not arrive;
if the technology-related live broadcast is in a live broadcast end state,
D 4 = | current time-technology dependent live end time | +2.
Where | current time-required live broadcast start time | represents the difference in days between two times, and the technology-related live broadcast end time is a point in time when the end time of the technology-related live broadcast in the live broadcast end state is historical and has occurred.
(5)D 5 And E {0,1}, which represents the matching degree of the new technical interest category index of the user of the same company with the user and the category label of the technical related live broadcast, wherein the new technical interest category index of the user of the same company with the user is called an enterprise new technical label.
If the enterprise new technology interest label is matched with the label of the related live broadcast of the technology, if the matching is successful, D 5 =1, failure of matching then D 5 ＝0；
And step three, calculating recommendation indexes TS of the live broadcast similar users. TS is more than or equal to 0 and less than or equal to 1, and represents the matching degree of similar users of the users and the live broadcast.
1. Counting similar users with users, selecting n users with higher similarity, called similar users, temporarily setting n =20, and adjusting the value of n appropriately according to the use condition in the later period. And calculating the similarity between the current user and other users, wherein the first n other users with larger similarity values are used as the similarity users of the current user.
The similarity between two users is calculated as:
wherein sim L-u And the similarity between L and U is represented, and L and U respectively represent the tag sets of two users, wherein the tag sets comprise the tag sets of interest of the new technology of the users, the required tag sets of interest of the final stage and tags corresponding to elements with element values larger than sn in the num of the calculation times of the users. The value of sn is temporarily set as sn =5, and adjustment is carried out in the later period according to the use condition. L | represents the length of the tag set L, i.e. the number of elements in the tag set L; l | n |, U |, represents the length of the intersection of the tag set L and the tag set U, i.e., the number of elements in the intersection.
2. And counting the number of similar users of each live broadcast, which are checked in the last login and current latest refreshing time of the user. And calculates the TS value for it:
wherein u represents the number of people similar users click on the live broadcast (no repeated calculation), and n represents the number of similar users. Live not viewed has TS =0, and does not need to be calculated by the above equation.
Step four, calculating the recommendation degree of live broadcast, including the recommendation degree of the required live broadcast and the recommendation degree of the technology-related live broadcast;
recommendation degree of demand-related live broadcast: RF = F + RF × TS
Recommendation degree of related live broadcast: RD = D + RD × TS
Wherein, rf, rd are used for controlling the important degree that the recommendation index of similar user of live broadcast occupied in the live broadcast recommendation degree, and rf, rd are tentatively 7, and appropriate adjustment can be carried out according to the thing of using in the later stage.
Generating a recommendation list which comprises a demand live broadcast recommendation list and a technology-related live broadcast recommendation list;
sequencing the demand live broadcasts according to the recommendation degrees of the demand live broadcasts from large to small to form a demand live broadcast recommendation list; and sequencing the technical related live broadcasts according to the recommendation degrees of the technical related live broadcasts from large to small to form a technical related live broadcast recommendation list.
And step six, generating a user recommendation list, and generating the user recommendation list according to the technical direction and/or the demand direction of the user interested direction and the technical related live broadcast recommendation list and/or the demand live broadcast recommendation list.
(1) If the interested direction of the user is the technical direction, the top tn live broadcast recommendation lists and the top qn live broadcast recommendation lists in the technology correlation are selected, the front positions and the back positions of the required live broadcast recommendation lists and the technology correlation live broadcast recommendation lists in the requirement live broadcast recommendation lists and the technology correlation live broadcast recommendation lists are randomly displayed but are not changed, and the required live broadcast recommendation lists and the technology correlation live broadcast recommendation lists are deleted. And the analogy is that (tn + qn) live broadcasts in the user recommendation list are grouped, wherein tn technical-related live broadcasts and qn demand live broadcasts are contained (the specific number can be adjusted when the system is used later, and is temporarily set to tn =5, qn = 1). When the required live broadcast recommendation list or the technology-related live broadcast recommendation list is empty, directly adding the recommendation list which is not empty to the tail part of the user recommendation list;
(2) If the interested direction of the user is the required direction, selecting the top tm from the technical related live broadcast recommendation list and the top qm from the required live broadcast recommendation list, and randomly displaying the required live broadcast and the technical related live broadcast without changing the front and back positions of the required live broadcast recommendation list and the technical related live broadcast recommendation list respectively, and deleting the required live broadcast recommendation list and the technical related live broadcast recommendation list. And the like, namely, the (tm + qm) live broadcasts in the user recommendation list are grouped into one group, wherein the group comprises tm technical-related live broadcasts and qm demand live broadcasts (the specific number can be adjusted when the system is used later, and is temporarily set to tm =10, qm = 1). When the demand live broadcast recommendation list or the technology-related live broadcast recommendation list is empty, directly adding the recommendation list which is not empty to the tail part of the user recommendation list;
(3) If the interested direction of the user is a required direction and a technical direction, selecting the first t in the technical related live broadcast recommendation list and the first q in the required live broadcast recommendation list, and randomly displaying the required live broadcast and the technical related live broadcast without changing the front and back positions of the required live broadcast and the technical related live broadcast recommendation list respectively, and deleting the required live broadcast and the technical related live broadcast recommendation list. And the analogy is performed, that is, (t + q) live broadcasts in the user recommendation list are grouped into a group, wherein t technical-related live broadcasts and q demand live broadcasts are included (the specific number can be adjusted at a later time, and is temporarily set to t =2 and q = 3). And when the required live broadcast recommendation list or the technology-related live broadcast recommendation list is empty, directly adding the recommendation list which is not empty to the tail part of the user recommendation list.
It should be understood that the specific order or hierarchy of steps in the processes disclosed is an example of exemplary approaches. Based upon design preferences, it is understood that the specific order or hierarchy of steps in the processes may be rearranged without departing from the scope of the present disclosure. The accompanying method claims present elements of the various steps in a sample order, and are not intended to be limited to the specific order or hierarchy presented.
In the foregoing detailed description, various features are grouped together in a single embodiment for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the claimed embodiments of the subject matter require more features than are expressly recited in each claim. Rather, as the following claims reflect, invention lies in less than all features of a single disclosed embodiment. Thus, the following claims are hereby expressly incorporated into the detailed description, with each claim standing on its own as a separate preferred embodiment of the invention.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. Of course, the processor and the storage medium may reside as discrete components in a user terminal.
For a software implementation, the techniques described herein may be implemented with modules (e.g., procedures, functions, and so on) that perform the functions described herein. The software codes may be stored in memory units and executed by processors. The memory unit may be implemented within the processor or external to the processor, in which case it can be communicatively coupled to the processor via various means as is known in the art.
What has been described above includes examples of one or more embodiments. It is, of course, not possible to describe every conceivable combination of components or methodologies for purposes of describing the aforementioned embodiments, but one of ordinary skill in the art may recognize that many further combinations and permutations of various embodiments are possible. Accordingly, the embodiments described herein are intended to embrace all such alterations, modifications and variations that fall within the scope of the appended claims. Furthermore, to the extent that the term "includes" is used in either the detailed description or the claims, such term is intended to be inclusive in a manner similar to the term "comprising" as "comprising" is interpreted when employed as a transitional word in a claim. Furthermore, any use of the term "or" in the specification of the claims is intended to mean a "non-exclusive or".
Claims (4)
1. A live broadcast recommendation method is used for live broadcast recommendation for BCB electronic commerce platform users, and comprises the following steps:
step one, acquiring user information which comprises information of a user center, user history records and information of the user centers of other users consistent with the information of the user company;
step two, calculating recommendation indexes of each live broadcast to users, wherein the live broadcast comprises new technology live broadcast, technical demand live broadcast and purchase demand live broadcast; the purchase demand live broadcast is called demand live broadcast for short, and the new technology live broadcast and the technical demand live broadcast are called technical related live broadcast;
step three, calculating a recommendation index of the live broadcast similar user, and representing the matching degree of the similar user of the user and the live broadcast;
step four, calculating the recommendation degree of live broadcast, including the recommendation degree of the required live broadcast and the recommendation degree of the technology-related live broadcast;
generating a recommendation list which comprises a demand live broadcast recommendation list and a technology-related live broadcast recommendation list;
step six, generating a user recommendation list, and generating the user recommendation list according to the technical direction and/or the demand direction of the user interested direction and the technical related live broadcast recommendation list and/or the demand live broadcast recommendation list;
characterized in that, in the second step: the recommendation index for demand live broadcast is calculated as follows:
recommendation index for live broadcast of demand:
wherein f is i The ith weight is preset, nf =5 and is properly adjusted according to the later use condition; initial setting: f. of 1 ＝45,f 2 ＝10,f 3 ＝30,f 4 ＝-0.5,f 5 ＝10；
(1)F 1 E.g., {0,0.125,0.25,0.5,1}, which represents the matching degree of the interest index of the user and the label required for live broadcast, wherein the interest label required by the user and the label required for live broadcast are final-level labels; the tags are divided into four stages, namely a first-stage tag, a second-stage tag, a third-stage tag and a last-stage tag;
if the final-stage label of the demand interest of the user is matched with the final-stage label of the demand live broadcast, F is carried out if the matching is successful 1 =1, if the matching fails, the matching is performed on the upper level label, namely the third level label;
if the third-level label of the interest of the user is matched with the third-level label of the live broadcast, and if the matching is successful, F 1 =0.5, the matching is failed, and the matching is continued to the upper level label, namely the second level labelMatching;
if the secondary label of the user's interest is matched with the secondary label of the live broadcast, F 1 =0.25, if the matching fails, the matching is continued to the upper-level label, namely the first-level label;
if the first-level label of the user's interest is matched with the first-level label of the live broadcast, F 1 =0.125, if the matching fails, F 1 ＝0；
(2)F 2 E {0,1}, which represents the matching degree of the area of the user and the delivery place requiring live broadcasting, wherein the specific service area and the delivery place are both specific to provinces, namely, the matching is successful on province addresses, namely, the delivery or transaction can be carried out by default;
if the area where the user is the buyer is the same as the delivery request place requiring live broadcasting, F 2 ＝1；
If the user is the supplier's supply area containing the delivery place requiring live broadcast, F 2 ＝1；
If the above conditions are not satisfied, it indicates that the matching of the area of the user with the delivery place of the demand live broadcast fails, i.e., F 2 ＝0；
(3)F 3 ∈[0,1]The matching degree of the historical data labels of the user and the labels needing live broadcast is represented, and the number set num of times that the user clicks the labels needing live broadcast and speaks in the needing live broadcast in a near days is counted;
num label number of times of live broadcasting requiring that a click label is label x 2+ number of speaking times of live broadcasting requiring that a label is table
The num represents a calculation frequency set of historical clicking and speaking of all the last-stage labels in a near days of a user, and the number of elements in the num is the same as that of the last-stage labels; max (num) is the maximum value in the number of calculations set num, and when max (num) =0, there is F for any demand live broadcast 3 =0, without calculation by the above formula; num label Indicating correspondence of last-stage label tableCalculating times; f 3 Representing the matching degree of the required live broadcast under the historical data label of the user;
(4)F 4 e [0, infinity)), representing the matching degree of the current time of the user and the required live broadcast time, wherein the current time refers to the latest refreshing time, the login time is used as the standard if the user does not refresh after logging in, and the latest refreshing time is used as the standard if the user has refreshing action after logging in; the live broadcast state is divided into:
if the live broadcast is in an on-going state, F 4 ＝0；
If the live broadcast is in the state of waiting for live broadcast, F 4 = | Current time-required live Start time |, where F 4 The method comprises the steps that an hour difference between two times is represented, the required live broadcast starting time is the required live broadcast starting time in a to-be-live broadcast state, is a certain time point in the future and temporarily does not arrive;
if the live broadcast is required to be in the live broadcast ending state, F 4 = current time-required live broadcast end time | +2, where | current time-required live broadcast start time | represents an hour difference between two times, and the required live broadcast end time is a time point at which the end time of the required live broadcast in the live broadcast end state is a history and has already occurred;
(5)F 5 the method comprises the steps that a new label is created for a user, wherein the new label belongs to a group of labels, and belongs to a group of labels, wherein the new label belongs to a group of labels, and the new label belongs to a group of labels;
f, if the enterprise interest final label is matched with the final label needing live broadcast and the matching is successful 5 =1, if the matching fails, the matching is performed on the upper level label, namely the third level label;
f, if the enterprise interest third-level label is matched with the third-level label needing live broadcast and the matching is successful 5 =0.5, if the matching fails, the matching is continued to the upper level label, namely the second level label;
if the enterprise interest secondary label is directly related to the demandMatching the broadcast second-level label, if the matching is successful, F 5 =0.25, if the matching fails, the matching is continued to the upper-level label, namely the first-level label;
if the primary label of the enterprise interest label is matched with the primary label required for live broadcasting, F is carried out if the matching is successful 5 =0.125, if the matching fails, F 5 ＝0。
2. The live recommendation method of claim 1, wherein in the second step: the recommendation index for technology-dependent live broadcast is calculated as follows:
recommendation index for technical-related live broadcasts:
wherein d is i The weight of the ith weight is preset, nd =5 and is properly adjusted according to the later use condition; initial setting: d is a radical of 1 ＝45,d 2 ＝10,d 3 ＝30,d 4 ＝-0.5,d 5 ＝10
(1)D 1 E {0,1}, representing the matching degree of the new technical interest index of the user and the tags of the technical related live broadcasts, and if the new technical interest index of the user contains the tags of the technical related live broadcasts, D 1 =1; otherwise, if the new technical interest index of the user does not contain the tag of the technical related live broadcast, D 1 ＝0；
(2)D 2 E {0.2,0.4,0.7,1}, which represents the score of the stage of the new technology in the technology-related live broadcast;
if the new technology in the technology-related live broadcast is in the mass production stage, D 2 ＝1；
If the new technology in the technology-related live broadcast is in a new product test stage, D 2 ＝0.7；
If the stage of the new technology in the technology-related live broadcast is an experimental demonstration stage, D 2 ＝0.4；
If the stage of the new technology in the technology-related live broadcast is the scheme demonstration stage, D 2 ＝0.2；
(3)D 3 ∈[0,1]The matching degree of the historical data labels of the user and the labels of the technology-related live broadcasts is represented, and the times d _ num of clicking the labels of the technology-related live broadcasts and speaking in the technology-related live broadcasts in d _ days of the user are counted;
d_num label number of times of live broadcasting related to technology with label as tab = 2+ number of speaking times of live broadcasting related to technology with label as tab
D _ num represents a calculation frequency set of historical clicks and speeches of all new technical interest tags in a d _ days near by a user, and the number of elements in d _ num is the same as that of the new technical interest tags; max (D _ num) is the maximum value in the calculation number set D _ num, and when max (D _ sum) =0, there is D for any required live broadcast 3 =0, without calculation by the above formula; d _ num label Representing the corresponding calculation times of the interest label of the new technology, namely the table; d 3 Representing the matching degree of the related live broadcast of the technology under the historical data label of the user;
(4)D 4 e [0, + ∞), representing how well the user's current time matches the technology-related live time;
the state of the related live broadcast is divided into:
if the technology-related live broadcast is in an on-going state, D 4 ＝0；
If the related live broadcast is in a state of waiting for live broadcast, D 4 = current time-technology dependent live broadcast start time |; wherein D 4 Representing the day difference between the two times, wherein the technology-related live broadcast starting time is the starting time of the technology-related live broadcast in a state of waiting for live broadcast, is a certain time point in the future and temporarily does not arrive;
if the related live broadcast is in the live broadcast ending state, D 4 = current time-technology dependent live broadcast end time | +2; where | Current time-required live Start time | represents the number of days difference between the two times, technology dependent live end timeThe end time of the technology-related live broadcast in the live broadcast end state is a certain historical time point and has already occurred;
(5)D 5 the method comprises the steps that the new technology interest category index of a user of the same company with the user belongs to {0,1}, the matching degree of the new technology interest category index of the user of the same company with the user and a technology-related live broadcast category label is represented, and the new technology interest category index of the user of the same company with the user is called an enterprise new technology label;
if the enterprise new technology interest label is matched with the label of the related live broadcast of the technology, if the matching is successful, D 5 =1, failure of matching then D 5 ＝0。
3. The live broadcasting recommendation method of claim 1, wherein the third step of calculating the recommendation index of the live broadcasting similar user comprises the following steps:
1. counting similar users with users, selecting n users with higher similarity, called similar users, temporarily setting n =20, and properly adjusting the value of n according to the use condition in the later period; calculating the similarity between the current user and other users, wherein the first n other users with larger similarity values are used as the similarity users of the current user;
the similarity between two users is calculated as:
wherein, sim L-u The similarity between L and U is represented, the L and the U respectively represent tag sets of two users, and the tag sets comprise user new technology interest tag sets, required final level interest tag sets and tags corresponding to elements with element values larger than sn in a user calculation number set num; the value of sn is temporarily set as sn =5, and adjustment is carried out in the later period according to the use condition; l | represents the length of the tag set L, i.e. the number of elements in the tag set L; l | n |, U |, represents the length of the intersection of the tag set L and the tag set U, i.e., the number of elements in the intersection;
2. counting the number of similar users of each live broadcast, which are checked in the last login time and the current latest refreshing time of the user, and calculating a TS value of the users:
wherein u represents the number of people who click the live broadcast by similar users (no repeated calculation), and n represents the number of the similar users; live broadcasts not viewed have TS =0 and need not be calculated by the above equation.
4. The live broadcast recommendation method according to claim 1, wherein the fourth step of calculating the live broadcast recommendation degree includes:
recommendation degree of demand-related live broadcast: RF = F + RF × TS
Recommendation degree of related live broadcast: RD = D + RD × TS
Wherein, rf, rd are used for controlling the important degree that the recommendation index of similar user of live broadcast occupies in the live broadcast recommendation degree, and rf, rd are tentatively 7, and the later stage is adjusted properly according to the use thing.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104504149A (en) * | 2015-01-08 | 2015-04-08 | 中国联合网络通信集团有限公司 | Application recommendation method and device |
| CN106126669A (en) * | 2016-06-28 | 2016-11-16 | 北京邮电大学 | User collaborative based on label filters content recommendation method and device |
| CN106294800A (en) * | 2016-08-16 | 2017-01-04 | 武汉斗鱼网络科技有限公司 | Method and system recommended by direct broadcasting room based on weighting k neighbour scoring |
| CN108271076A (en) * | 2017-01-03 | 2018-07-10 | 武汉斗鱼网络科技有限公司 | A kind of method and device for recommending direct broadcasting room |
| CN109218769A (en) * | 2018-09-30 | 2019-01-15 | 武汉斗鱼网络科技有限公司 | A kind of recommended method and relevant device of direct broadcasting room |
| CN109413461A (en) * | 2018-09-30 | 2019-03-01 | 武汉斗鱼网络科技有限公司 | A kind of recommended method and relevant device of direct broadcasting room |
| CN109543111A (en) * | 2018-11-28 | 2019-03-29 | 广州虎牙信息科技有限公司 | Recommendation information screening technique, device, storage medium and server |
| CN110730385A (en) * | 2018-07-16 | 2020-01-24 | 武汉斗鱼网络科技有限公司 | Live broadcast room recommendation method and device, server and storage medium |
| CN110896488A (en) * | 2018-08-23 | 2020-03-20 | 武汉斗鱼网络科技有限公司 | Recommendation method for live broadcast room and related equipment |
-
2021
- 2021-04-30 CN CN202110482943.2A patent/CN113159855B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104504149A (en) * | 2015-01-08 | 2015-04-08 | 中国联合网络通信集团有限公司 | Application recommendation method and device |
| CN106126669A (en) * | 2016-06-28 | 2016-11-16 | 北京邮电大学 | User collaborative based on label filters content recommendation method and device |
| CN106294800A (en) * | 2016-08-16 | 2017-01-04 | 武汉斗鱼网络科技有限公司 | Method and system recommended by direct broadcasting room based on weighting k neighbour scoring |
| CN108271076A (en) * | 2017-01-03 | 2018-07-10 | 武汉斗鱼网络科技有限公司 | A kind of method and device for recommending direct broadcasting room |
| CN110730385A (en) * | 2018-07-16 | 2020-01-24 | 武汉斗鱼网络科技有限公司 | Live broadcast room recommendation method and device, server and storage medium |
| CN110896488A (en) * | 2018-08-23 | 2020-03-20 | 武汉斗鱼网络科技有限公司 | Recommendation method for live broadcast room and related equipment |
| CN109218769A (en) * | 2018-09-30 | 2019-01-15 | 武汉斗鱼网络科技有限公司 | A kind of recommended method and relevant device of direct broadcasting room |
| CN109413461A (en) * | 2018-09-30 | 2019-03-01 | 武汉斗鱼网络科技有限公司 | A kind of recommended method and relevant device of direct broadcasting room |
| CN109543111A (en) * | 2018-11-28 | 2019-03-29 | 广州虎牙信息科技有限公司 | Recommendation information screening technique, device, storage medium and server |
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|---|---|
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