Recommendation Methods and Recommendation Systems
A recommendation method and user technology, applied in the field of communication, can solve the problem of low success rate of friend recommendation, achieve the effect of effectively recommending friends and improving accuracy
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Embodiment 1
[0046] figure 1 It is a flowchart of a recommendation method provided by Embodiment 1 of the present invention. Such as figure 1 As shown, the recommended methods include:
[0047] Step 1001. Obtain user behavior data and the corresponding unique identifier of the signal coverage area. The user behavior data includes the user's mobile number and destination IP address.
[0048] Optionally, the unique identifier of the signal coverage area is a base station number or a radio network controller identification code. In this embodiment, the base station number is NodeB, and the radio network controller identification code is an RNC (Radio Network Controller) identification code. In the third generation mobile communication network (3G), the universal terrestrial radio access network (Universal Terrestrial Radio Access Network, UTRAN) is composed of a radio network controller (Radio Network Controller, RNC) and a base station (Node B), where the NodeB passes The standard Iub in...
Embodiment 2
[0062] figure 2 It is a schematic structural diagram of a recommendation system provided by Embodiment 2 of the present invention. Such as figure 2 As shown, the recommendation system includes a first acquiring unit 101 , a first forming unit 102 , a first filtering unit 103 , a second forming unit 104 and a first pushing unit 105 . The first acquiring unit 101 acquires user behavior data and the corresponding unique identifier of the signal coverage area, the user behavior data includes the user mobile number and destination IP address; the first forming unit 102 forms a user database according to the user behavior data, and The user behavior data in the user database has the same unique identifier of the network coverage area; the first filtering unit 103 filters out the generalized information in the user database to form a personalized database; the second forming unit 104 according to the The personalized database forms a user recommendation database, and the user beh...
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