We draw on the word segmentation and clustering analysis method of Internet big data analysis. First, according to the address lexical recognition of customer complaints, we divide the irregular customer complaint addresses into structured customer complaint addresses; , first identify the scene, so that you can know which tag instances exist in different scenes, so that the tag library can be formed. On the basis of the tag library, the hot spot identification and sorting analysis can be further carried out, which can effectively guide the network planning work.
1) Completed the demand analysis book on May 6, 2014.
Here is a Baidu LBS API, named GeoCoding, which provides the function of two-way mapping between addresses and GPS. The address is http://developer.baidu.com/map/webservice-geocoding.htm.
2) Complete the relevant UI
3) Publicity and report
: Consolidate the foundation, strengthen management, optimize the weak coverage library,
Network Optimization Center 2014-06-19 11:35
Coverage is the foundation of mobile communication. With the development of various network optimization work, the wireless environment has been greatly improved, but there are still some coverage blind spots and weak coverage areas in the network. It is a basic and important work to follow up the information of weak coverage points in time, build information interaction with the customer service center through an effective management mechanism, and promote the solution of weak coverage areas. Beginning in May, Wangyou Center has updated and revised the weak coverage database information in an all-round way in conjunction with local and municipal branches, and put forward higher requirements for the update work, providing more timely and accurate coverage information for the customer service center, for the later period. Construction provides strong support.
A variety of methods help to find weak coverage points
. The network optimization center preliminarily locates weak coverage areas by gathering user complaint information and addresses. Combined with the help of MR data, road test data, and on-site testing of prefecture and city branches, the weak coverage areas are implemented one by one according to the previous user complaints. Coverage point information.
Revising the evaluation and assessment mechanism To follow up the weak coverage information
combined with the actual role of the weak coverage database, the Network Optimization Center revised the assessment and assessment method of the weak coverage information, implemented real-time rolling statistics, and assessed and updated the situation on a monthly basis. Urge local and municipal branches to follow up information on weak coverage points. In the actual promotion process, the Network Optimization Center has absorbed the reasonable opinions put forward by the prefecture and city companies based on the actual situation, and further revised the evaluation method, so as to achieve the unity of the efficiency and rationality of the weak coverage evaluation method.
Upgrade the weak coverage library system Improve the practicability of the weak coverage library
Recently, the network optimization center summarized the experience and requirements of the previous work, and put forward a number of optimization requirements for the two-way weak coverage library platform, which comprehensively improved the effectiveness and timeliness of weak coverage point information. , which enhances the practicability of weak coverage. On the other hand, based on the interpretation caliber provided by the customer service, the interpretation caliber in the weak coverage library is revised, so that the customer service can quickly respond to users and improve user perception.