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GAIN: Analysis of Implicit Feedback on Semantically Annotated Content
Main topics of the document: implicit feedback; web analytics; semantics; association rules...
IN - Informatika
- 2012 •
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Multimodal Implicit Feedback for Recommender Systems
of multimodal implicit feedback in recommender systems for small e-commerce enterprises. We focus on deeper understanding of implicit user feedback as a rich source of heterogeneous information. We present a model...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2017 •
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Negative implicit feedback in e-commerce recommender systems
how to identify some of the implicit feedback as negative user preference, how confirming that treating some implicit feedback as negative preference can significantly employing personalized recommendation. Such w...
IN - Informatika
- 2013 •
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Towards Complex User Feedback and Presentation Context in Recommender Systems
feedback is unavailable, but implicit feedback can be collected in both large amount and rich variety. However, some perceived values of implicit feedback may depend integrating it into the set of imp...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2017 •
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Eye Tracking as a Source of Implicit Feedback in Recommender Systems: A Preliminary Analysis
Eye tracking in recommender systems can provide an additional source of implicit feedback, while helping to evaluate other sources of feedback. In this study, we use eye tracking data to inform a collaborative filtering mod...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2023 •
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IPIget: The Component for Collecting Implicit User Preference Indicators
preference. User preference is often learned from explicit feedback (user rating), but on some domains, namely e-commerce, this kind of feedback is hard to come by, so collecting various implicit user actions is needed ins...
IN - Informatika
- 2014 •
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Estimating importance of implicit factors in E-commerce recommender systems
In this paper, we discuss the importance of different types of implicit user feedback for creating useful recommendations on an e-commerce website. Each website user may provide us with many different types of implicit ...
IN - Informatika
- 2013 •
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The use of belief function theory in recommendation based on a similarity diffusion
and make recommendations only regarding implicit feedback but neglect the benefits next to evaluation by certain amount of points (implicit feedback). These texts can and implicit feedback based ...
Economic Theory
- 2019 •
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Modelling User Preferences from Implicit Preference Indicators via Compensational Aggregations
will introduce new methodfor learning user preferences based on their implicit feedback. The method is based on aggregating various types of implicit feedback with parameterized to register or provide any/enough e...
IN - Informatika
- 2014 •
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Using the Context of User Feedback in Recommender Systems
-commerce portals, where explicit feedback is absent and thus the usage of implicit feedback is necessary. Nonetheless, for some implicit feedback features of relevant contextual features affecting user
IN - Informatika
- 2016 •
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