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Information Retrieval Technology

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Cover of 'Information Retrieval Technology'

Table of Contents

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    Book Overview
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    Chapter 1 On Structures of Inverted Index for Query Processing Efficiency
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    Chapter 2 Access Time Tradeoffs in Archive Compression
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    Chapter 3 Large Scale Sentiment Analysis with Locality Sensitive BitHash
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    Chapter 4 Knowledge-Based Query Expansion in Real-Time Microblog Search
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    Chapter 5 Enrichment of Academic Search Engine Results Pages by Citation-Based Graphs
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    Chapter 6 Information Retrieval Technology
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    Chapter 7 An Author Subject Topic Model for Expert Recommendation
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    Chapter 8 A Keyword Recommendation Method Using CorKeD Words and Its Application to Earth Science Data
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    Chapter 9 Incorporating Distinct Opinions in Content Recommender System
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    Chapter 10 Detecting Automatically-Generated Arabic Tweets
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    Chapter 11 Improving Tweet Timeline Generation by Predicting Optimal Retrieval Depth
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    Chapter 12 Abstract Venue Concept Detection from Location-Based Social Networks
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    Chapter 13 Snapboard: A Shared Space of Visual Snippets - A Study in Individual and Asynchronous Collaborative Web Search
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    Chapter 14 Improving Ranking and Robustness of Search Systems by Exploiting the Popularity of Documents
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    Chapter 15 Heading-Aware Snippet Generation for Web Search
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    Chapter 16 Smoothing Temporal Difference for Text Categorization
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    Chapter 17 Charset Encoding Detection of HTML Documents
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    Chapter 18 Structure Matters: Adoption of Structured Classification Approach in the Context of Cognitive Presence Classification
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    Chapter 19 A Sequential Latent Topic-Based Readability Model for Domain-Specific Information Retrieval
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    Chapter 20 Automatic Labelling of Topic Models Using Word Vectors and Letter Trigram Vectors
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    Chapter 21 A Study of Collection-Based Features for Adapting the Balance Parameter in Pseudo Relevance Feedback
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    Chapter 22 An MDL-Based Frequent Itemset Hierarchical Clustering Technique to Improve Query Search Results of an Individual Search Engine
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    Chapter 23 Improving Clustering Quality by Automatic Text Summarization
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    Chapter 24 Tweet Timeline Generation via Graph-Based Dynamic Greedy Clustering
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    Chapter 25 Topic Set Size Design with the Evaluation Measures for Short Text Conversation
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    Chapter 26 Towards Nuanced System Evaluation Based on Implicit User Expectations
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    Chapter 27 A Study of Visual and Semantic Similarity for Social Image Search Recommendation
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    Chapter 28 Company Name Disambiguation in Tweets: A Two-Step Filtering Approach
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    Chapter 29 Utilizing Word Embeddings for Result Diversification in Tweet Search
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    Chapter 30 Displaying People with Old Addresses on a Map
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    Chapter 31 A Query Expansion Approach Using Entity Distribution Based on Markov Random Fields
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    Chapter 32 Analysis of Cyber Army’s Behaviours on Web Forum for Elect Campaign
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    Chapter 33 Beyond tf-idf and Cosine Distance in Documents Dissimilarity Measure
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    Chapter 34 Information Retrieval Technology
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    Chapter 35 Information Retrieval Technology
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    Chapter 36 The Impact of Using Combinatorial Optimisation for Static Caching of Posting Lists
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    Chapter 37 Improving Difficult Queries by Leveraging Clusters in Term Graph
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    Chapter 38 EEST: Entity-Driven Exploratory Search for Twitter
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    Chapter 39 Information Retrieval Technology
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    Chapter 40 TopSig: A Scalable System for Hashing and Retrieving Document Signatures
Attention for Chapter 15: Heading-Aware Snippet Generation for Web Search
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Chapter title
Heading-Aware Snippet Generation for Web Search
Chapter number 15
Book title
Information Retrieval Technology
Published by
Springer, Cham, December 2015
DOI 10.1007/978-3-319-28940-3_15
Book ISBNs
978-3-31-928939-7, 978-3-31-928940-3
Authors

Tomohiro Manabe, Keishi Tajima, Manabe, Tomohiro, Tajima, Keishi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Unknown 1 100%