Abstract | ||
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Sale leads are the essential concern of salesman and marketing staffs, who may seek them in blindly searching by using search engine in a substantial of online information. Unfortunately, it is tricky to extract useful and valuable leads from such huge online data. To address this issue, in this paper, we present a leads generation robot-LeadsRobot, which is a software enabled robot. It can intelligently understand the requirements of leads for salesman and then automatically mine the leads from web big data to recommend them to salesman. A robot architecture is devised with service based technologies, it can accomplish the automatic understanding, crawling, analysis and recommendation. To achieve the task, we use automatic web crawling to gain the raw data from web data. Natural language processing is employed for extract leads from them, then intelligence recommendation is proceeded for salesman via word2vec based text analysis. Finally we demonstrate our proposed robot in a real application case and evaluate performance of system to show its efficiency and effectiveness. |
Year | DOI | Venue |
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2018 | 10.1007/978-3-319-94301-5_21 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
Sale leads,NLP,Big data,Robot | Crawling,Search engine,Computer science,Raw data,Software,Artificial intelligence,Word2vec,Robot,Web crawler,Big data,Machine learning | Conference |
Volume | ISSN | Citations |
10968 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 7 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jing Zeng | 1 | 11 | 5.80 |
Jin Che | 2 | 0 | 0.34 |
Chunxiao Xing | 3 | 12 | 4.30 |
Liang-Jie Zhang | 4 | 982 | 138.17 |