Semantic Smoothing of Document Models for Agglomerative Clustering
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Summary
A new framework for Web search is proposed, which exploits image contents to help improve the search performance and is combined with the traditional keyword-based search result to produce the final search result.
- Type
- article
- Published
- 2007-01-06
- Cited by
- 23
- References
- 31
- OpenAlex
- https://openalex.org/W66104079
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:1126750
Keywords
Computer science, Information retrieval, Exploit, Web page, Search engine
References
- Improve Web Search Using Image Snippets
- Finding Groups in Data: An Introduction to Cluster Analysis
- AMORE: A World Wide Web image retrieval engine
- Searching for Images and Videos on the World-Wide Web
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- Generative model-based document clustering: a comparative study
- Authoritative sources in a hyperlinked environment
- Context-sensitive semantic smoothing for the language modeling approach to genomic IR
- Link-based and content-based evidential information in a belief network model
- Image retrieval using multiple evidence ranking
- A belief network model for IR
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Information retrieval as statistical translation
- The Anatomy of a Large-Scale Hypertextual Web Search Engine
- WebSeer: An Image Search Engine for the World Wide Web
Cited by
- Improve Web Search Using Image Snippets
- Relevance Preserving Projection and Ranking for Web Image Search Reranking
- iLike: Bridging the Semantic Gap in Vertical Image Search by Integrating Text and Visual Features
- Semantic Concept Learning through Massive Internet Video Mining
- Accessible image search for colorblindness
- Exploiting text content in image search by semi-supervised learning techniques
- Improving Web search using image snippets
- Improving Web Image Search by Bag-Based Reranking
- A Topic Detection Approach Through Hierarchical Clustering on Concept Graph
- BiModal latent dirichlet allocation for text and image
- UNDERSTANDING USER INTENTIONS IN VERTICAL IMAGE SEARCH
- Topic Signature Language Models for Ad hoc Retrieval
- Efficient Re-Ranking of Images from the Web using Bag based Method
- On interactive learning-to-rank for IR: Overview, recent advances, challenges, and directions
- Integrating performance of web search engine with Machine Learning approach
- Enhanced Re-ranking and Semantic Similarity Algorithm for Image Search Goals using Click-through Logs
- Linking the Text and Visual Features in Vertical Image Search Engine: A Survey
- Re-ranking of Stereo Video Retrieval Results Based on Clustering and Density
- What Can Pictures Tell Us About Web Pages? Improving Document Search Using Images
- What can pictures tell us about web pages?