Ready to buy or just browsing?: detecting web searcher goals from interaction data
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Summary
This work presents a new class of search behavior models that also exploit fine-grained user interactions with the search results, and shows that mining these interactions can enable more effective detection of the user's search goals.
- Type
- article
- Published
- 2010-07-19
- Cited by
- 166
- References
- 34
- OpenAlex
- https://openalex.org/W2015465704
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:1316839
Keywords
Exploit, Computer science, World Wide Web, Aggregate (composite), Class (philosophy)
References
- Detecting Computer Intrusions Using Behavioral Biometrics
- Models of Searching and Browsing: Languages, Studies, and Application
- Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search
- Characteristics of cursor trajectories controlled by the computer mouse
- Exploratory Search: Beyond the Query-Response Paradigm
- What are you looking for?: an eye-tracking study of information usage in web search
- Online learning from click data for sponsored search
- Query expansion using gaze-based feedback on the subdocument level
- Mining user web search activity with layered bayesian networks or how to capture a click in its context
- Survey and evaluation of query intent detection methods
- Towards predicting web searcher gaze position from mouse movements
- Predicting clicks: estimating the click-through rate for new ads
- Learning user interaction models for predicting web search result preferences
- Understanding user goals in web search
- Predicting bounce rates in sponsored search advertisements
- Detecting online commercial intention (OCI)
- To swing or not to swing: learning when (not) to advertise
- Evaluating implicit measures to improve web search
- Automatic identification of user goals in Web search
- Exploring mouse movements for inferring query intent
Cited by
- What Readers want to Experience - An Approach to Quantify Conversational Maxims with Preferences for Reading Behaviour
- Structured Query Formulation and Result Organization for Session Search
- Session Aware Recommender System In E-Commerce
- Effective Structured Query Formulation for Session Search
- New Trends in Databases and Information Systems: ADBIS 2020 Short Papers, Lyon, France, August 25–27, 2020, Proceedings
- Towards Detecting Wikipedia Task Contexts
- Summarize What You Are Interested In: An Optimization Framework for Interactive Personalized Summarization
- Introduction to special issue on human-computer information retrieval
- Modeling user behavior and attention in search
- What are the effects of different search engine interface designs on user behaviour
- Advertisement clicking prediction by using multiple criteria mathematical programming
- Understanding user intent on the web through interaction mining
- Predicting query reformulation type from user behavior
- Who uses web search for what: and how
- Building a better mousetrap: Compressing mouse cursor activity for web analytics
- Using Contextual Information to Understand Searching and Browsing Behavior
- Resolving Common Analytical Tasks in Text Databases
- Assessing the relationship between context, user preferences, and content in search behaviour
- Gaze dependant prefetching of web content to increase speed and comfort of web browsing
- VPW: an interactive prototype of a web-based visual paired comparison cognitive diagnostic test
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