An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
A review of web searching studies and a framework for future research
Journal of the American Society for Information Science and Technology
Query clustering using user logs
ACM Transactions on Information Systems (TOIS)
Information Retrieval
ACM SIGIR Forum
Query type classification for web document retrieval
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Using terminological feedback for web search refinement: a log-based study
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Understanding user goals in web search
Proceedings of the 13th international conference on World Wide Web
Hourly analysis of a very large topically categorized web query log
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
CubeSVD: a novel approach to personalized Web search
WWW '05 Proceedings of the 14th international conference on World Wide Web
Detecting dominant locations from search queries
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Personalizing search via automated analysis of interests and activities
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic web query classification using labeled and unlabeled training data
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Reconciling information-seeking behavior with search user interfaces for the Web
Journal of the American Society for Information Science and Technology
The comparative effectiveness of sponsored and nonsponsored links for Web e-commerce queries
ACM Transactions on the Web (TWEB)
Web spam detection via commercial intent analysis
AIRWeb '07 Proceedings of the 3rd international workshop on Adversarial information retrieval on the web
Data acquisition and cost-effective predictive modeling: targeting offers for electronic commerce
Proceedings of the ninth international conference on Electronic commerce
Personal name classification in web queries
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
Determining the informational, navigational, and transactional intent of Web queries
Information Processing and Management: an International Journal
Identifying regional sensitive queries in web search
Proceedings of the 17th international conference on World Wide Web
Survey and evaluation of query intent detection methods
Proceedings of the 2009 workshop on Web Search Click Data
Identification of ambiguous queries in web search
Information Processing and Management: an International Journal
An algorithm for analyzing personalized online commercial intention
Proceedings of the 2nd International Workshop on Data Mining and Audience Intelligence for Advertising
Understanding user's query intent with wikipedia
Proceedings of the 18th international conference on World wide web
Classifying and Characterizing Query Intent
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Report on the second KDD workshop on data mining for advertising
ACM SIGKDD Explorations Newsletter
Improving classification accuracy using automatically extracted training data
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Context-aware query classification
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Term-based commercial intent analysis
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Estimating Ad Clickthrough Rate through Query Intent Analysis
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
In the Mood to Click? Towards Inferring Receptiveness to Search Advertising
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Characterizing commercial intent
Proceedings of the 18th ACM conference on Information and knowledge management
Proceedings of the 18th ACM conference on Information and knowledge management
Proceedings of the 18th ACM conference on Information and knowledge management
Context-aware customization e-learning system with intelligent on-line examination mechanism
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
Context-Aware Online Commercial Intention Detection
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
Using word-sense disambiguation methods to classify web queries by intent
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Exploring searcher interactions for distinguishing types of commercial intent
Proceedings of the 19th international conference on World wide web
PageSense: style-wise web page advertising
Proceedings of the 19th international conference on World wide web
GameSense: game-like in-image advertising
Multimedia Tools and Applications
Ready to buy or just browsing?: detecting web searcher goals from interaction data
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Estimating advertisability of tail queries for sponsored search
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
A combined topical/non-topical approach to identifying web sites for children
Proceedings of the fourth ACM international conference on Web search and data mining
Learning query ambiguity models by using search logs
Journal of Computer Science and Technology
Find it if you can: a game for modeling different types of web search success using interaction data
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Link spamming Wikipedia for profit
Proceedings of the 8th Annual Collaboration, Electronic messaging, Anti-Abuse and Spam Conference
Autonomous link spam detection in purely collaborative environments
Proceedings of the 7th International Symposium on Wikis and Open Collaboration
Acquiring knowledge about human goals from Search Query Logs
Information Processing and Management: an International Journal
ImageSense: Towards contextual image advertising
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Towards the taxonomy-oriented categorization of yellow pages queries
ACM Transactions on Internet Technology (TOIT)
Classifying web search queries to identify high revenue generating customers
Journal of the American Society for Information Science and Technology
Deriving query intents from web search engine queries
Journal of the American Society for Information Science and Technology
The wisdom of advertisers: mining subgoals via query clustering
Proceedings of the 21st ACM international conference on Information and knowledge management
Classifying websites into non-topical categories
DaWaK'12 Proceedings of the 14th international conference on Data Warehousing and Knowledge Discovery
Towards linking buyers and sellers: detecting commercial Intent on twitter
Proceedings of the 22nd international conference on World Wide Web companion
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Understanding goals and preferences behind a user's online activities can greatly help information providers, such as search engine and E-Commerce web sites, to personalize contents and thus improve user satisfaction. Understanding a user's intention could also provide other business advantages to information providers. For example, information providers can decide whether to display commercial content based on user's intent to purchase. Previous work on Web search defines three major types of user search goals for search queries: navigational, informational and transactional or resource [1][7]. In this paper, we focus our attention on capturing commercial intention from search queries and Web pages, i.e., when a user submits the query or browse a Web page, whether he/she is about to commit or in the middle of a commercial activity, such as purchase, auction, selling, paid service, etc. We call the commercial intentions behind a user's online activities as OCI (Online Commercial Intention). We also propose the notion of "Commercial Activity Phase" (CAP), which identifies in which phase a user is in his/her commercial activities: Research or Commit. We present the framework of building machine learning models to learn OCI based on any Web page content. Based on that framework, we build models to detect OCI from search queries and Web pages. We train machine learning models from two types of data sources for a given search query: content of algorithmic search result page(s) and contents of top sites returned by a search engine. Our experiments show that the model based on the first data source achieved better performance. We also discover that frequent queries are more likely to have commercial intention. Finally we propose our future work in learning richer commercial intention behind users' online activities.