A Method for Evaluating the Importance of Emails Based on Conversational Networks
An evaluation method and technology of importance, applied in data processing applications, unstructured text data retrieval, instruments, etc., can solve problems such as ignoring email metadata information, users being unable to filter out important emails, and email network structure information not being considered
Active Publication Date: 2021-08-27
BEIHANG UNIV
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But too many emails also lead to email overload. Users cannot effectively filter out important emails from their mailboxes. The New York Times once said that email overload is an economic resistance worth 650 billion U.S. dollars
[0007] Existing methods based on social trust networks ignore the metadata information of emails, while methods based on discriminative models do not consider the network structure information of emails
In addition, the existing evaluation methods for the importance of emails ignore the contextual relationship between emails, and cannot reflect the citation relationship between emails (including replies, forwarding), and this factor needs to be considered in the evaluation of the importance of emails. The reason is that one of the key differences between emails and ordinary text is that there will be logical contextual relationships between emails, and this part of implicit information has not been considered in the existing email importance evaluation methods
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[0022] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.
[0023] Such as image 3 Shown is a flowchart of the present invention, comprising the following steps:
[0024] Step 1, mail dataset preprocessing. In this step, deduplication of emails and unification of time zones are mainly carried out. The deduplication of emails is to avoid duplicate nodes in the email network. The reason for the unification of the time zone is that the timing relations...
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The invention proposes a method for evaluating the importance of emails based on conversational networks. Firstly, some features of emails are extracted, and the conversation network of emails is restored. Based on the conversational network of emails, in order to fully reflect the contextual relationship between emails, the reference relationship between emails (including replies and forwards) is used as edges in the conversational network. Finally, a new email importance evaluation algorithm is proposed by combining email features and email conversational network structure.
Description
technical field [0001] The invention relates to an intelligent evaluation method, in particular to a conversation network-based mail importance evaluation method. Background technique [0002] Nowadays, social services are diversifying, and emails still maintain a huge user base due to their good privacy and popularity. According to statistics, currently about 205 billion emails are sent and received globally every day. But too many emails also lead to email overload, and users cannot effectively filter out important emails from their mailboxes. The New York Times once said that email overload is an economic resistance worth 650 billion U.S. dollars. [0003] One of the effective ways to solve the email overload problem is to evaluate the importance of emails. On the one hand, it can recommend important emails, and on the other hand, it can provide a reference for spam classification. At present, the importance evaluation methods for emails are mainly divided into two categ...
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IPC IPC(8): G06F16/38G06Q50/00
CPCG06Q50/01
Inventor 胡春明蒋坤何潇安
Owner BEIHANG UNIV