Search
Search Results
-
A Deep Learning Approach for Selective Relevance Feedback
Pseudo-relevance feedback (PRF) can enhance average retrieval effectiveness over a sufficiently large number of queries. However, PRF often...
-
Tuning Query Reformulator with Fine-Grained Relevance Feedback
Pseudo-relevance feedback (PRF) has been empirically validated as an effective query reformulation method to improve retrieval performance. Recent...
-
End-to-end pseudo relevance feedback based vertical web search queries recommendation
Nowadays, the web has emerged as an enormous multimedia data resource. Social media platforms are becoming the mass producers of user-generated...
-
Evaluating a Bayesian-like relevance feedback model with text-to-image search initialization
Although interactive video retrieval systems often boost search effectiveness, their smart design and optimal usage remains a true challenge. Since...
-
Enhancing image retrieval accuracy through multi-resolution HSV-LNP feature fusion and modified K-NN relevance feedback
Content-Based Image Retrieval (CBIR) involves the use of algorithms designed to accurately perceive and retrieve images based on their visual...
-
Multiple Feature Relevance Feedback in Content- Based Image Retrieval using Probabilistic Inference Networks
The BIR content based image retrieval system uses a Bayesian belief network architecture to match query by example images to images in a database....
-
ColBERT-FairPRF: Towards Fair Pseudo-Relevance Feedback in Dense Retrieval
Pseudo-relevance feedback mechanisms have been shown to be useful in improving the effectiveness of search systems for retrieving the most relevant...
-
Peer recommendation using negative relevance feedback
It is a challenging task to recommend a peer to a user based on the user’s requirement. Users may have expertise in multiple sub-domains, due to...
-
Domain Adaptation of Transformer-Based Models Using Unlabeled Data for Relevance and Polarity Classification of German Customer Feedback
Understanding customer feedback is becoming a necessity for companies to identify problems and improve their products and services. Text...
-
ExpertosLF: dynamic late fusion of CBIR systems using online learning with relevance feedback
One of the main challenges in CBIR systems is to choose discriminative and compact features, among dozens, to represent the images under comparison....
-
Exquisitor at the Video Browser Showdown 2024: Relevance Feedback Meets Conversational Search
An important open problem in video retrieval and exploration concerns the generation and refinement of queries for complex tasks that standard...
-
Suitability of Nearest Neighbour Indexes for Multimedia Relevance Feedback
User relevance feedback (URF) is emerging as an important component of the multimedia analytics toolbox. State-of-the-art URF systems employ...
-
Pseudo relevance feedback optimization
We propose a method for automatic optimization of pseudo relevance feedback (PRF) in information retrieval. Based on the conjecture that the initial...
-
Student Feedback in Hybrid/Online Teaching: Relevance, Approaches and Practices
In student-centered teaching, students are seen as active partners of teachers in sha** and designing their learning processes. According to this...
-
Feedback Relevance Spaces: Interactional Constraints on Processing Contexts in Dynamic Syntax
Feedback such as backchannels and clarification requests often occurs subsententially, demonstrating the incremental nature of grounding in dialogue....
-
A comparative analysis of the skilled use of automated feedback tools through the lens of teacher feedback literacy
Effective learning depends on effective feedback, which in turn requires a set of skills, dispositions and practices on the part of both students and...
-
Feedback seeking and student reflective feedback literacy: a sociocultural discourse analysis
A significant and somewhat under-exploited aspect of feedback literacy research lies in students’ feedback-seeking behaviors. This research charts...
-
Video Search with Context-Aware Ranker and Relevance Feedback
Interactive video search systems effectively combine text-image embedding approaches and smart user interfaces allowing various means of browsing in...
-
A Relevance Feedback-Based Approach for Non-TI Clustering
Homogeneity of persons in a social network is based on the similarity of their attributes. Traditional clustering algorithms like hierarchical...
-
A Novel Approach for Real-Time Vehicle Re-identification Using Content-Based Image Retrieval with Relevance Feedback
Automated smart traffic surveillance systems constitute a significant part of smart city environments and have attracted significant research...