What Readers want to Experience - An Approach to Quantify Conversational Maxims with Preferences for Reading Behaviour
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Summary
This paper proposes an approach to adapt the response to queries to user preferences for his reading experience in order to leverage the problem of information overload and introduces a decision strategy for the selection of content on the basis of the learned preferences.
- Type
- article
- Published
- 2013-03-06
- Cited by
- 0
- References
- 16
- Access
- Open access
- OpenAlex
- https://openalex.org/W41557647
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:16853886
Keywords
Computer science, Leverage (statistics), Web page, World Wide Web, Information overload
References
- Book Reviews: Foundations of Statistical Natural Language Processing
- Recommender Systems: Introduction
- "It's simply integral to what I do": enquiries into how the web is weaved into everyday life
- What are you looking for?: an eye-tracking study of information usage in web search
- Ready to buy or just browsing?: detecting web searcher goals from interaction data
- Attentive documents: Eye tracking as implicit feedback for information retrieval and beyond
- Towards predicting web searcher gaze position from mouse movements
- Learning user interaction models for predicting web search result preferences
- Using web browser interactions to predict task
- User see, user point: gaze and cursor alignment in web search
- Using browser interaction data to determine page reading behavior
- Eye-mouse coordination patterns on web search results pages
- Attention, Intentions, and the Structure of Discourse
- Probabilistic robotics
- A Probabilistic Approach to the Interpretation of Spoken Utterances
- Logic and Conversation
Cited by
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