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VIDEO RESULTS
Multimedia Information Retrieval
From:
VideoLectures
on
Fri, Mar 18 2011 8:57 PM
At its very core multimedia information retrieval means the process of searching for and nding multimedia documents; the corresponding research field is concerned with building the best possible multimedia search engines. The intriguing bit here is that the query itself can be a multimedia exce...
Distributed Information Retrieval
From:
VideoLectures
on
Fri, Mar 18 2011 8:56 PM
The research area of Distributed Information Retrieval (DIR) provides techniques that help to integrate multiple searchable resources into a single federated resource and provide direct access to them through a single system. A DIR system can access Deep Web resources through their search interfa...
Experiences with the Nutch search engine
From:
VideoLectures
on
Wed, Oct 13 2010 8:58 PM
Nutch is open-source software that implements a web search engine. It has been used in a variety of applications: vertical search engines, archival web search, search engines that incorporate novel metadata, etc. Nutch is itself implemented using Hadoop, an open-source platform for scalable comp...
Modeling Web Searcher Behavior and Interactions
From:
VideoLectures
on
Wed, Oct 13 2010 8:24 PM
Hundreds of millions of users search the web daily, clicking on the results, submitting and refining queries and otherwise interacting with the search engines. The vast amount of information generated as a by-product of these interactions can be mined to dramatically improve the effectiveness of...
Linguistic Semantics for Search Precision and Recall Improvement
From:
VideoLectures
on
Wed, Oct 13 2010 7:58 PM
Modern search engines return non-relevant documents too often. The main reason - search engines use algorithms based on various statistical scores of text documents, rather than on “understanding” the meaning of the queries and the contents of the documents. To understand the meaning of a query ...
Tagging with Queries: How and Why?
From:
VideoLectures
on
Wed, Oct 13 2010 6:30 PM
Web search queries capture the information need of search engine users. Search engines store these queries in their logs and analyze them to guide their search results. In this work, we argue that not only a search engine can benefit from data stored in these logs, but also the web users. We fir...
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