CN109743341B - Activity recommendation system - Google Patents
Activity recommendation system Download PDFInfo
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- CN109743341B CN109743341B CN201711021088.5A CN201711021088A CN109743341B CN 109743341 B CN109743341 B CN 109743341B CN 201711021088 A CN201711021088 A CN 201711021088A CN 109743341 B CN109743341 B CN 109743341B
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Abstract
An activity recommendation system comprises a time obtaining unit, a time determining unit, a query unit, a comparison unit, a judgment unit and a recommendation unit. The time acquisition unit acquires a current time. The time determination unit determines a time period that is before the current time and meets a predetermined rule. The inquiring unit inquires the content released by the user on the community website in the time period, wherein the released content comprises the activity event of the user. The comparison unit compares the contents within the time period to determine a plurality of similar contents. The judgment unit determines a time common point of times at which the similar plurality of contents are present. The recommending unit sends recommending information to the user according to the time common point and the similar contents, wherein the recommending information comprises a recommendation that the user carries out an event similar to the similar contents at a future time point, and the future time point has the time common point.
Description
Technical Field
The invention relates to an activity recommendation system.
Background
The conventional community website can issue activity events of users, so that the users can record own activity events through the community website or software. However, the existing community website has limited functions and cannot give some activity suggestions according to the previous activity events of the users.
Disclosure of Invention
In view of the foregoing, there is a need for an activity recommendation system to provide activity suggestions to a user.
An activity recommendation system comprising: a time acquisition unit for acquiring a current time; the time determining unit is used for determining a time period which is before the current time and accords with a preset rule; the query unit is used for querying the content published on the community website by the user in the time period, wherein the published content comprises activity events of the user; a comparison unit configured to compare the contents within the time period to determine a plurality of similar contents; a judging unit, configured to determine a time common point of times at which the similar plurality of contents are located; and the recommending unit is used for sending recommending information to the user according to the time common point and the similar contents, wherein the recommending information comprises a recommendation that the user carries out an event similar to the similar contents at a future time point, and the future time point has the time common point.
The activity recommendation system sends recommendation information to the user according to the content issued by the user, so that the user obtains activity suggestions.
Drawings
FIG. 1 is a block diagram of an activity recommendation system in one embodiment.
FIG. 2 is a block diagram of an activity recommendation system in another embodiment.
FIG. 3 is a block diagram of an activity recommendation system in another embodiment.
FIG. 4 is a block diagram of an activity recommendation system in another embodiment.
FIG. 5 is a block diagram of an activity recommendation system in another embodiment.
FIG. 6 is a block diagram of an activity recommendation system in another embodiment.
FIG. 7 is a block diagram of an activity recommendation system in another embodiment.
FIG. 8 is a block diagram of an activity recommendation system in another embodiment.
Description of the main elements
The following detailed description will further illustrate the invention in conjunction with the above-described figures.
Detailed Description
Referring to fig. 1, an activity recommendation system 100 is applied to a social networking site for recommending future events to users. The activity recommendation system 100 includes a time obtaining unit 20, a time determining unit 22, a querying unit 24, a comparing unit 26, a judging unit 28 and a recommending unit 30.
The time acquisition unit 20 is used to acquire the current time. The time determination unit 22 is used for determining a time period before the current time and according to a predetermined rule. In one embodiment, the acquired current time includes a year, a month, and a day of the current time. The preset rule is that the time is within a preset number of days after the same date as the month and the day of the current time in a preset number of years adjacent to the current time. If the current time is 7/3/2017, the predetermined rule is a time within 15 days after 3/7/three/2017. The predetermined rule may be adjustable by a user or a community site manager. For example, the preset number of days in the above embodiment may be adjusted to one month, one week, or the like.
The query unit 24 is configured to query the content published on the community site by the user in the time period. The published content comprises activity events and articles of the user, and the activity events and the articles can comprise photos. The comparison unit 26 is configured to compare the contents in the time period to determine a plurality of similar contents. And judging the time common point of the time of the similar contents. The common point in time may be a weekend or a day or night, etc.
The recommending unit 30 is configured to send recommendation information to the user according to the time common point and the similar contents, where the recommendation information includes a recommendation that the user perform an event similar to the similar contents at a future time point, and the future time point has the time common point. And if the common time point is the weekend, the future time point is the weekend of the week of the current time. The recommendation information also includes a reason for suggesting the user to perform the event. Such as recommended because similar things were done at similar time points for 2-3 consecutive years.
Referring to fig. 2, the activity recommendation system 100 further includes a setting unit 32. The setting unit 32 is used to set whether the recommendation function is turned on. When the recommendation function is turned on, the recommendation unit 30 sends the recommendation information, and when the recommendation function is turned off, the recommendation unit 30 does not send the recommendation information.
The setting unit 32 is also used to set information preferences. The recommending unit 30 sends the recommended information meeting the information preference to the user according to the information preference. The information preferences include time preferences and event preferences. The time preference allows the user to select how long to receive the recommendation information in the future. Such as 1-7 days in the future, half a year in the future, one year in the future, etc. Event preferences include eating related events, diving related events, and the like. When the event preference is set to an event related to eating, the recommending unit 30 transmits the recommendation information when the recommendation information is related to eating and does not transmit the recommendation information when the recommendation information is not related to eating.
Referring to fig. 3, the activity recommendation system 100 further includes an event selection unit 34, a person determination unit 36, an invitation display unit 38, an invitation determination unit 40, and an invitation sending unit 42. The event selection unit 34 is used for the user to select the published activity event. The person determination unit 36 is for determining the persons participating in the selected activity event. The characters include the user himself and others. The invitation display unit 38 is configured to display an invitation prompt for inviting the other person to perform the activity event when the preset time length is separated from the time point of the selected activity event. If the selected release content is a party of 2016, 7, month and 3, the persons participating in the party are the user himself, Zhang III and Li IV. The preset duration is one year. The invitation display unit 38 displays an invitation prompt for inviting the meeting with zhang san and lie si on 7/3 of 2017.
The invitation determining unit 40 is configured to determine whether to send the invitation corresponding to the invitation prompt to the other person according to a user operation. The invitation sending unit 42 is configured to send the invitation to the other person according to an operation of the user sending the invitation to the other person.
In another embodiment, the comparison unit 26 also periodically compares activity events of the user and friends of the user to determine whether the friends of the user have performed activity events similar to the user. The invitation display unit 38 is also configured to display an invitation prompt inviting a friend of the user to perform a corresponding activity event in a case where the friend has also performed an activity event similar to the user. The invitation determining unit 40 is further configured to determine whether to send the invitation corresponding to the invitation prompt to the friend according to the operation of the user. The invitation sending unit 42 is further configured to send the invitation to the friend according to an operation of the user sending the invitation to the friend.
Referring to fig. 4, the activity recommendation system 100 further includes a frequency determination unit 44. The frequency determination unit 44 also determines the frequency of activity events similar to the user by the friends. The invitation display unit 38 displays the invitation prompt when the frequency exceeds a preset frequency, and does not display the invitation prompt otherwise. The invitation prompt also includes a frequency with which the friend has performed the similar activity event.
Referring to fig. 5, the activity recommendation system 100 further includes a person selection unit 46 and an analysis unit 48. The person selection unit 46 is used for the user to select a friend to focus on. The analysis unit 48 is used for analyzing the content published by the concerned friends to determine activity events in which the concerned friends are interested.
The invitation display unit 38 displays the invitation inquiry of whether to perform the activity event and the list of the inviting persons at the user terminal of the concerned friend at an appropriate time. Such as "suggest you to engage in XX activities, please confirm whether to invite the people in the inviting people list to participate together? "the list of inviting people includes the attendee, and the attendee list has an attendee identifier, so that the attendee knows that the person is the attendee of the person, and if the person is invited, the probability of accepting the invitation by the attendee is high.
The invitation determining unit 40 further determines whether to send the invitation corresponding to the invitation inquiry to the people on the inviting people list according to the operation of the attendee. The invitation sending unit 42 also sends an invitation to a person on the list of inviting persons according to an operation of sending the invitation to a person on the list of inviting persons. The activity recommendation system 100 further comprises an enquiring unit 50. The inquiring unit 50 also inquires whether to invite the attendee to participate when participating again in the event after the event is ended.
Referring to fig. 6, the activity recommendation system 100 further includes a search determination unit 52 and a reminding unit 54. The search determination unit 52 is used to determine the searched keyword on a predetermined web site within a predetermined time. The comparing unit 26 is further configured to compare whether the content published by the user exists in the activity event related to the keyword. The reminding unit 54 is configured to display a prompt for performing the activity event again when the activity event related to the keyword exists in the content published by the user.
Referring to fig. 7, the activity recommendation system 100 further includes a classification unit 56 and an advertisement push unit 58. The classifying unit 56 is used for classifying the content published by the user. The advertisement push unit 58 recommends a list of users having contents in accordance with the category to which the advertisement belongs to the advertisement publisher, so that the advertisement publisher can transmit the advertisement according to the advertisement category and the category of the contents published by the users.
Referring to fig. 8, the activity recommendation system 100 further includes an advertisement suggestion confirmation unit 60 and an ad intent unit 62. The advertisement push unit 58 also displays an advertisement reception suggestion suggesting reception of an advertisement of a corresponding category according to a category of content published by the user. The advertisement suggestion confirmation unit 60 is configured to confirm whether to accept the advertisement reception suggestion according to a user operation. The advertisement intention unit 62 transmits information of receiving the advertisement of the corresponding category to the advertisement publisher according to the reception suggestion of the advertisement. The advertisement publisher determines whether to publish the advertisement of the corresponding category according to the quantity of the information of the received advertisement of different categories.
The activity recommendation system 100 sends recommendation information to the user according to the content published by the user, so that the user obtains an activity suggestion.
It will be appreciated by those skilled in the art that the above embodiments are illustrative only and not intended to be limiting, and that suitable modifications and variations to the above embodiments are within the scope of the disclosure provided that the invention is not limited thereto.
Claims (10)
1. An activity recommendation system, comprising:
a time acquisition unit for acquiring a current time;
the time determining unit is used for determining a time period which is before the current time and accords with a preset rule;
the query unit is used for querying the content published on the community website by the user in the time period, wherein the published content comprises activity events of the user;
a comparison unit configured to compare the contents within the time period to determine a plurality of similar contents;
a judging unit, configured to determine a time common point of times at which the similar plurality of contents are located; and
and the recommending unit is used for sending recommending information to the user according to the time common point and the similar contents, wherein the recommending information comprises a recommendation that the user carries out an event similar to the similar contents at a future time point, and the future time point has the time common point.
2. The activity recommendation system of claim 1, further comprising a setting unit for setting whether to turn on the recommendation function, the recommendation unit transmitting the recommendation information only when the recommendation function is turned on, and the recommendation unit not transmitting the recommendation information when the recommendation function is turned off.
3. The activity recommendation system of claim 2, wherein the setting unit is further configured to set information preferences, and the recommendation unit sends recommendation information according to the information preferences to the user.
4. The activity recommendation system of claim 3, wherein said information preferences include time preferences for a user to select how long to receive recommended information in a future time period.
5. The activity recommendation system according to claim 1, further comprising a time selection unit for a user to select the issued activity event, a person determination unit for determining persons participating in the selected activity event, the persons including the user himself and others, and an invitation display unit for displaying an invitation prompt inviting the others to perform the selected activity event when a preset time period is separated from a time point at which the selected activity event occurs.
6. The activity recommendation system according to claim 5, further comprising an invitation determination unit and an invitation sending unit, wherein the invitation determination unit is configured to determine whether to send the invitation corresponding to the invitation prompt to the other person according to a user operation, and the invitation sending unit is configured to send the invitation to the other person according to an operation of sending the invitation to the other person by the user.
7. The activity recommendation system according to claim 6, wherein the comparison unit further periodically compares the activity events of the user and the friends of the user to determine whether the friends of the user have performed activity events similar to the user, the invitation display unit is further configured to display an invitation prompt inviting the friends to perform corresponding activity events if the friends of the user have also performed activity events similar to the user, the invitation determination unit is further configured to determine whether to send the invitation corresponding to the invitation prompt to the friends according to an operation of the user, and the invitation sending unit is further configured to send the invitation to the friends according to an operation of the user sending the invitation to the friends.
8. The activity recommendation system according to claim 1, further comprising a search determination unit configured to determine a keyword to be searched for on a predetermined website within a predetermined time, and a comparison unit further configured to compare whether the content published by the user exists in an activity event related to the keyword, and a reminder unit configured to display a prompt to perform the activity event again when the content published by the user exists in an activity event related to the keyword.
9. The activity recommendation system of claim 1, further comprising a classification unit for classifying the contents published by the users and an advertisement recommendation unit recommending to the advertisement publisher a list of users having contents in accordance with the category to which the advertisement belongs.
10. The activity recommendation system according to claim 9, further comprising an advertisement suggestion confirmation unit and an advertisement intention unit, wherein the advertisement recommendation unit further displays an advertisement reception suggestion suggesting reception of an advertisement of a corresponding category according to a category of the content issued by the user, the advertisement suggestion confirmation unit is configured to confirm whether to accept the advertisement reception suggestion according to a user operation, and the advertisement intention unit transmits information of the advertisement of the corresponding category to the advertisement issuer according to acceptance of the advertisement reception suggestion.
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| CN201711021088.5A CN109743341B (en) | 2017-10-27 | 2017-10-27 | Activity recommendation system |
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| CN201711021088.5A CN109743341B (en) | 2017-10-27 | 2017-10-27 | Activity recommendation system |
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| US8843433B2 (en) * | 2011-03-29 | 2014-09-23 | Manyworlds, Inc. | Integrated search and adaptive discovery system and method |
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| WO2012155602A1 (en) * | 2011-05-18 | 2012-11-22 | 腾讯科技（深圳）有限公司 | Method, device and system for pushing information |
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