Web Site Structure and Content Recommendations
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Finding advertising keywords on web pages
Proceedings of the 15th international conference on World Wide Web
Keyword Generation for Search Engine Advertising
ICDMW '06 Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops
Keyword generation for search engine advertising using semantic similarity between terms
Proceedings of the ninth international conference on Electronic commerce
Proceedings of the 2008 ACM symposium on Applied computing
Query Recommendation Using Large-Scale Web Access Logs and Web Page Archive
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
Automatic hypertext keyphrase detection
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Automatic generation of bid phrases for online advertising
Proceedings of the third ACM international conference on Web search and data mining
A comparative study for wordnet guided text representation
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
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Text Advertising is an important field that can affect online advertising. Bid term Suggestion gains a great interest by advertisers. Advertisers should choose carefully the bid terms and the relevant phrases that represent their products or services, otherwise online users would not click on the ad that transfer them to the purchase page of the product or the service being promoted. The paper proposes a method that suggests the keywords of a web page based on the frequent terms in a web page while including the lexical relationship (synonyms) of these words. An experiment is executed to validate the method while the method's result is comparable with Google ad word tool. The proposed method had shown better results than working only with the frequency of the terms.