Name-based email address recommendation method and system

Abstract

The invention provides a method and a system for recommending an e-mail address based on a name. The method comprises: using information and an e-mail of a to-be-searched person as keywords, searching through a search engine, to obtain a search result page corresponding to the to-be-searched person; analyzing entry structure in the search result page, using the addresses which meet an e-mail address format as candidate e-mail addresses of the to-be-searched person; performing format specification on the candidate e-mail addresses of the to-be-searched person, and removing invalid addresses in the candidate e-mail addresses; and performing feature extraction on the rest e-mail addresses in the candidate e-mail addresses of the to-be-searched person, to obtain a feature vector, inputting the feature vector to a pre-constructed SVM classification model to classify and identify, and using the e-mail address which is determined as a positive example as the e-mail address of the to-be-searched person and recommending the e-mail address to a user. The method and the system can recommend the e-mail of the to-be-searched person according to the information of the to-be-searched person, and are advantaged by high efficiency and high accuracy.

Description

technical field [0001] The invention relates to the field of network information technology, in particular to a name-based email address recommendation method and system. Background technique [0002] With the development of the Internet, the contact information of users is no longer limited to telephone numbers, fax addresses, mailing addresses and so on. As a new contact method, e-mail plays an important role in information communication. Most businesses and individuals use e-mail for communication and business dealings. According to a series of statistical reports on national Internet development released by CNNIC (China Internet Network Information Center, China Internet Network Information Center), as of December 2015, 89.0% of the enterprises connected to the Internet have used the Internet to send and receive in the past year. Email, while 245 million of the average user uses email. Therefore, obtaining the user's email address accurately and efficiently will have ...

AI Technical Summary

Problems solved by technology

The results obtained by this type of method are full of a lot of irrelevant and wrong information, and the running time is very long, the efficiency is low, and the accuracy and search speed are difficult to meet the actual needs.

In addition, in 2010, Tang et al. proposed to find the personal homepage first and then use the machine learning method to extract the email address. This method also has two disadvantages: one is that there may be errors in finding the homepage, which may lead to incorrect email addresses; the other is that the homepage may also contain other obfuscated email addresses or no addresses

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