Keyword generation for search engine advertising using semantic similarity between terms
Proceedings of the ninth international conference on Electronic commerce
Advertising keyword suggestion based on concept hierarchy
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Data mining and audience intelligence for advertising
ACM SIGKDD Explorations Newsletter - Special issue on visual analytics
Using the wisdom of the crowds for keyword generation
Proceedings of the 17th international conference on World Wide Web
Contextual in-image advertising
MM '08 Proceedings of the 16th ACM international conference on Multimedia
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
Argo: intelligent advertising by mining a user's interest from his photo collections
Proceedings of the Third International Workshop on Data Mining and Audience Intelligence for Advertising
Scalable clustering and keyword suggestion for online advertisements
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
GameSense: game-like in-image advertising
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Open entity extraction from web search query logs
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
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ImageSense: Towards contextual image advertising
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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)
Multi-label learning with millions of labels: recommending advertiser bid phrases for web pages
Proceedings of the 22nd international conference on World Wide Web
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Proceedings of the 23rd international conference on World wide web
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Keyword3 generation for search engine advertising is an important problem for sponsored search or paidplacement advertising. A recent strategy in this area is bidding on nonobvious yet relevant words, which are economically more viable. Targeting many such nonobvious words lowers the advertising cost, while delivering the same click volume as expensive words. Generating the right nonobvious yet relevant keywords is a challenging task. The challenge lies in not only finding relevant words, but also in finding many such words. In this paper, we present TermsNet, a novel approach to this problem. This approach leverages search engines to determine relevance between terms and captures their semantic relationships as a directed graph. By observing the neighbors of a term in such a graph, we generate the common as well as the nonobvious keywords related to a term.