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1:22:17 Stiftung Universität Hildesheim English 2015

Retrieval in the Web II

This lecture gives an overview on Information Retrieval. It explains why documents are ranked the way they are. The lecture explains the most relevant ways for content representation: Automatic indexing and manual indexing. For automatic indexing, the frequencey of word is of special relevance and their influence on the weighting of term are discussed. The most relevant models are introduced. The session on evaluation discusses new metrics like the Normalized Discounted Cumulative Gain. The session of information behavior provides a brief overview and explains the relation to IR. The session on optimization mainly introduces term expansion and fusion methods. The session on Web retrieval is concerned with the quality aspects and gives a basic insight to the PageRank algorithm.
  • Published: 2015
  • Publisher: Stiftung Universität Hildesheim
  • Language: English
1:24:21 Stiftung Universität Hildesheim English 2015

Representation I: Manual Indexing

This lecture gives an overview on Information Retrieval. It explains why documents are ranked the way they are. The lecture explains the most relevant ways for content representation: Automatic indexing and manual indexing. For automatic indexing, the frequencey of word is of special relevance and their influence on the weighting of term are discussed. The most relevant models are introduced. The session on evaluation discusses new metrics like the Normalized Discounted Cumulative Gain. The session of information behavior provides a brief overview and explains the relation to IR. The session on optimization mainly introduces term expansion and fusion methods. The session on Web retrieval is concerned with the quality aspects and gives a basic insight to the PageRank algorithm.
  • Published: 2015
  • Publisher: Stiftung Universität Hildesheim
  • Language: English
1:21:45 Stiftung Universität Hildesheim English 2015

Retrieval in the Web I

This lecture gives an overview on Information Retrieval. It explains why documents are ranked the way they are. The lecture explains the most relevant ways for content representation: Automatic indexing and manual indexing. For automatic indexing, the frequencey of word is of special relevance and their influence on the weighting of term are discussed. The most relevant models are introduced. The session on evaluation discusses new metrics like the Normalized Discounted Cumulative Gain. The session of information behavior provides a brief overview and explains the relation to IR. The session on optimization mainly introduces term expansion and fusion methods. The session on Web retrieval is concerned with the quality aspects and gives a basic insight to the PageRank algorithm.
  • Published: 2015
  • Publisher: Stiftung Universität Hildesheim
  • Language: English
59:57 Stiftung Universität Hildesheim English 2015

Optimization

This lecture gives an overview on Information Retrieval. It explains why documents are ranked the way they are. The lecture explains the most relevant ways for content representation: Automatic indexing and manual indexing. For automatic indexing, the frequencey of word is of special relevance and their influence on the weighting of term are discussed. The most relevant models are introduced. The session on evaluation discusses new metrics like the Normalized Discounted Cumulative Gain. The session of information behavior provides a brief overview and explains the relation to IR. The session on optimization mainly introduces term expansion and fusion methods. The session on Web retrieval is concerned with the quality aspects and gives a basic insight to the PageRank algorithm.
  • Published: 2015
  • Publisher: Stiftung Universität Hildesheim
  • Language: English
1:18:34 Stiftung Universität Hildesheim English 2015

Representation II: Automatic Indexing

This lecture gives an overview on Information Retrieval. It explains why documents are ranked the way they are. The lecture explains the most relevant ways for content representation: Automatic indexing and manual indexing. For automatic indexing, the frequencey of word is of special relevance and their influence on the weighting of term are discussed. The most relevant models are introduced. The session on evaluation discusses new metrics like the Normalized Discounted Cumulative Gain. The session of information behavior provides a brief overview and explains the relation to IR. The session on optimization mainly introduces term expansion and fusion methods. The session on Web retrieval is concerned with the quality aspects and gives a basic insight to the PageRank algorithm.
  • Published: 2015
  • Publisher: Stiftung Universität Hildesheim
  • Language: English
1:19:08 Stiftung Universität Hildesheim English 2015

Information Behavior

This lecture gives an overview on Information Retrieval. It explains why documents are ranked the way they are. The lecture explains the most relevant ways for content representation: Automatic indexing and manual indexing. For automatic indexing, the frequencey of word is of special relevance and their influence on the weighting of term are discussed. The most relevant models are introduced. The session on evaluation discusses new metrics like the Normalized Discounted Cumulative Gain. The session of information behavior provides a brief overview and explains the relation to IR. The session on optimization mainly introduces term expansion and fusion methods. The session on Web retrieval is concerned with the quality aspects and gives a basic insight to the PageRank algorithm.
  • Published: 2015
  • Publisher: Stiftung Universität Hildesheim
  • Language: English
1:04:15 Stiftung Universität Hildesheim English 2015

Models I

This lecture gives an overview on Information Retrieval. It explains why documents are ranked the way they are. The lecture explains the most relevant ways for content representation: Automatic indexing and manual indexing. For automatic indexing, the frequencey of word is of special relevance and their influence on the weighting of term are discussed. The most relevant models are introduced. The session on evaluation discusses new metrics like the Normalized Discounted Cumulative Gain. The session of information behavior provides a brief overview and explains the relation to IR. The session on optimization mainly introduces term expansion and fusion methods. The session on Web retrieval is concerned with the quality aspects and gives a basic insight to the PageRank algorithm.
  • Published: 2015
  • Publisher: Stiftung Universität Hildesheim
  • Language: English
1:06:00 Stiftung Universität Hildesheim English 2015

Evaluation

This lecture gives an overview on Information Retrieval. It explains why documents are ranked the way they are. The lecture explains the most relevant ways for content representation: Automatic indexing and manual indexing. For automatic indexing, the frequencey of word is of special relevance and their influence on the weighting of term are discussed. The most relevant models are introduced. The session on evaluation discusses new metrics like the Normalized Discounted Cumulative Gain. The session of information behavior provides a brief overview and explains the relation to IR. The session on optimization mainly introduces term expansion and fusion methods. The session on Web retrieval is concerned with the quality aspects and gives a basic insight to the PageRank algorithm.
  • Published: 2015
  • Publisher: Stiftung Universität Hildesheim
  • Language: English
1:14:38 Stiftung Universität Hildesheim English 2015

Information Retrieval - Definitions

This lecture gives an overview on Information Retrieval. It explains why documents are ranked the way they are. The lecture explains the most relevant ways for content representation: Automatic indexing and manual indexing. For automatic indexing, the frequencey of word is of special relevance and their influence on the weighting of term are discussed. The most relevant models are introduced. The session on evaluation discusses new metrics like the Normalized Discounted Cumulative Gain. The session of information behavior provides a brief overview and explains the relation to IR. The session on optimization mainly introduces term expansion and fusion methods. The session on Web retrieval is concerned with the quality aspects and gives a basic insight to the PageRank algorithm.
  • Published: 2015
  • Publisher: Stiftung Universität Hildesheim
  • Language: English
1:01:45 Stiftung Universität Hildesheim English 2015

Models II

This lecture gives an overview on Information Retrieval. It explains why documents are ranked the way they are. The lecture explains the most relevant ways for content representation: Automatic indexing and manual indexing. For automatic indexing, the frequencey of word is of special relevance and their influence on the weighting of term are discussed. The most relevant models are introduced. The session on evaluation discusses new metrics like the Normalized Discounted Cumulative Gain. The session of information behavior provides a brief overview and explains the relation to IR. The session on optimization mainly introduces term expansion and fusion methods. The session on Web retrieval is concerned with the quality aspects and gives a basic insight to the PageRank algorithm.
  • Published: 2015
  • Publisher: Stiftung Universität Hildesheim
  • Language: English
1:17:58 Stiftung Universität Hildesheim English 2015

Representation III: Weighting (Gewichtung) 2

This lecture gives an overview on Information Retrieval. It explains why documents are ranked the way they are. The lecture explains the most relevant ways for content representation: Automatic indexing and manual indexing. For automatic indexing, the frequencey of word is of special relevance and their influence on the weighting of term are discussed. The most relevant models are introduced. The session on evaluation discusses new metrics like the Normalized Discounted Cumulative Gain. The session of information behavior provides a brief overview and explains the relation to IR. The session on optimization mainly introduces term expansion and fusion methods. The session on Web retrieval is concerned with the quality aspects and gives a basic insight to the PageRank algorithm.
  • Published: 2015
  • Publisher: Stiftung Universität Hildesheim
  • Language: English
1:19:44 Stiftung Universität Hildesheim English 2015

Representation III: Weighting (Gewichtung) 1

This lecture gives an overview on Information Retrieval. It explains why documents are ranked the way they are. The lecture explains the most relevant ways for content representation: Automatic indexing and manual indexing. For automatic indexing, the frequencey of word is of special relevance and their influence on the weighting of term are discussed. The most relevant models are introduced. The session on evaluation discusses new metrics like the Normalized Discounted Cumulative Gain. The session of information behavior provides a brief overview and explains the relation to IR. The session on optimization mainly introduces term expansion and fusion methods. The session on Web retrieval is concerned with the quality aspects and gives a basic insight to the PageRank algorithm.
  • Published: 2015
  • Publisher: Stiftung Universität Hildesheim
  • Language: English
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Timings

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Version

AV-Portal 3.7.0 (943df4b4639bec127ddc6b93adb0c7d8d995f77c)