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Group task distribution method based on situational analysis

A task allocation and group technology, applied in the Internet field, can solve problems such as less consideration of user multi-dimensional information, functional experience and integrity, not considering the impact of result recovery, and lack of feasibility.

Active Publication Date: 2018-11-20
HENAN UNIV OF SCI & TECH
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  • Summary
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  • Claims
  • Application Information

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Problems solved by technology

[0003] At present, the most popular assignment method is the random task assignment method. This method considers that the user's behavior is homogeneous, and does not consider the possible impact of the user's behavior on the result recovery. Existing work is usually based on static scenarios. Current research focuses on The focus is on the task itself, and the user group is often passive in the group computing process, seldom considering factors such as user multi-dimensional information, functional experience, and integrity, and most of the existing methods are not feasible in practical applications.

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  • Group task distribution method based on situational analysis
  • Group task distribution method based on situational analysis
  • Group task distribution method based on situational analysis

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Embodiment Construction

[0061] The technical solutions in the present invention are clearly and completely described below through examples.

[0062] In the online social networking platform CyVOD, there is a group evaluation task t i It needs θ users to execute, and the technical solution of the present invention can be specifically implemented as follows:

[0063] (1) First, traverse the database input task set T, user set U, and traverse the list of tasks to be completed T={t 1 ,t 2 ,...t i} and user list U={u 1 ,u 2 ,...u j}, get task t i and user u i Information;

[0064] (2) Next to u i The context information λ is analyzed and processed, and the user u is obtained through the user behavior pattern discovery algorithm SituBehaviorAnalytics(DS,Min_Support,G) j behavior sequence pattern;

[0065] (3) If user u j The behavior sequence pattern of and the task to be completed t i category φ matches, then the user u j The ID is stored in the user set L of tasks to be assigned 1 ;

[0...

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Abstract

The invention discloses a group task distribution method based on situational analysis. The method comprises the following steps: firstly traversing a task list and a user list and acquiring historicoperation behavior and historic information of a user, further computing behavior modes of the user under different intentions, namely, frequent function experience of the user, if the behavior mode is related to the task type, saving a user ID meeting the requirement in a user set L1, and then computing user task fitness, and ordering the users in the user set L1 according to the user task fitness from high to low, saving front theta users after ordering in an L2 set, and distribution task for the users in the L2; repeating the above steps until no more new undistributed task is existent. Through the method disclosed by the invention, the frequent function experience of the user can be acquired by analyzing the behavior record of the user in the current social network system, and the distributed corresponding group task is more accurate under the condition of sufficiently understanding the frequent function experience of the user.

Description

technical field [0001] The invention belongs to the technical field of the Internet, in particular to a group task assignment method based on situation analysis. Background technique [0002] The security and privacy issues of social network platforms are prominent, and it is urgent for social network users to evaluate platform functions, security precautions, and privacy protection functions to improve user service experience. How to assign the group evaluation tasks that appear in real time in online social networks to the most suitable users quickly, efficiently and accurately has become a challenge in current research. [0003] At present, the most popular assignment method is the random task assignment method. This method considers that the user's behavior is homogeneous, and does not consider the possible impact of the user's behavior on the result recovery. Existing work is usually based on static scenarios. Current research focuses on The focus is on the task itself...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/00
CPCG06Q10/06311G06Q50/01
Inventor 张志勇牛丹梅王剑张丽丽向菲王小雪赵长伟李玉祥史培宁黄涛
Owner HENAN UNIV OF SCI & TECH