Multimodal analysis of user behavior and browsed content under different image search intents

The proposed approach shows a design based on today’s search en- gines, enriched with dynamic UI elements to provide a plus for the user.. The design includes principles to form

We use a large collec- tion of book descriptions from Amazon and LT , which contain both professional metadata and user-generated content ( UGC ), and com- pare book suggestions on

In order to better understand user behavior in a multi-intent environment we propose to exploit intent and layout information in a click model so as to improve its performance..

This work studied user group identification through the analysis of search log data collected by a commercial picture portal for a sample of 170 of their registered users, in

In summary, this paper proposes to provide Adaptive Information Visualizations through the use of real-time eye tracking in combination with machine learning tech- niques

in [18]; however, their focus is to locate all content addressing a specific question (e.g. A few studies have examined the effectiveness of crowds on noisy data

The paper describes with the help of a brief example how design methods, namely those formed in design thinking can help search user interface design to innovate throughout the

For example, text results and results based on transcripts (e.g. video, audio) are presented with highlighted text snippets and are underpinned with semantic entities ex- tracted