Keyword Generation for Search Engine Advertising
ICDMW '06 Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops
Using the wisdom of the crowds for keyword generation
Proceedings of the 17th international conference on World Wide Web
Towards intent-driven bidterm suggestion
Proceedings of the 18th international conference on World wide web
Advertising keyword generation using active learning
Proceedings of the 18th international conference on World wide web
Scalable clustering and keyword suggestion for online advertisements
Proceedings of the Third International Workshop on Data Mining and Audience Intelligence for Advertising
Inferring local synonyms for improving keyword suggestion in an on-line advertisement system
Proceedings of the Third International Workshop on Data Mining and Audience Intelligence for Advertising
Automatic generation of bid phrases for online advertising
Proceedings of the third ACM international conference on Web search and data mining
Personalized click prediction in sponsored search
Proceedings of the third ACM international conference on Web search and data mining
Expert Systems with Applications: An International Journal
Advertising Keywords Recommendation for Short-Text Web Pages Using Wikipedia
ACM Transactions on Intelligent Systems and Technology (TIST)
Automatic generation of listing ads by reusing promotional texts
Proceedings of the 12th International Conference on Electronic Commerce: Roadmap for the Future of Electronic Business
BidTerm Suggestion for Advertising Webpages
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Psychological advertising: exploring user psychology for click prediction in sponsored search
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Multi-label learning with millions of labels: recommending advertiser bid phrases for web pages
Proceedings of the 22nd international conference on World Wide Web
Finding keywords in blogs: Efficient keyword extraction in blog mining via user behaviors
Expert Systems with Applications: An International Journal
Sampling dilemma: towards effective data sampling for click prediction in sponsored search
Proceedings of the 7th ACM international conference on Web search and data mining
Dimension independent similarity computation
The Journal of Machine Learning Research
Quizz: targeted crowdsourcing with a billion (potential) users
Proceedings of the 23rd international conference on World wide web
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An important problem in search engine advertising is key-word1 generation. In the past, advertisers have preferred to bid for keywords that tend to have high search volumes and hence are more expensive. An alternate strategy involves bidding for several related but low volume, inexpensive terms that generate the same amount of traffic cumulatively but are much cheaper. This paper seeks to establish a mathematical formulation of this problem and suggests a method for generation of several terms from a seed keyword. This approach uses a web based kernel function to establish semantic similarity between terms. The similarity graph is then traversed to generate keywords that are related but cheaper.