Advances in Information Retrieval
by Amati, Giambattista; Carpineto, Claudio; Romano, GiovanniFormat: Paperback
Pub. Date: 2007-04-19
Publisher(s): Springer-Verlag New York Inc
Other versions by this Author
List Price: $159.99
Rent Textbook
Select for Price
Rent Digital
$77.22*
New Textbook
We're Sorry
Sold Out
Used Textbook
We're Sorry
Sold Out
How Marketplace Works:
- This item is offered by an independent seller and not shipped from our warehouse
- Item details like edition and cover design may differ from our description; see seller's comments before ordering.
- Sellers much confirm and ship within two business days; otherwise, the order will be cancelled and refunded.
- Marketplace purchases cannot be returned to eCampus.com. Contact the seller directly for inquiries; if no response within two days, contact customer service.
- Additional shipping costs apply to Marketplace purchases. Review shipping costs at checkout.
Summary
This book constitutes the refereed proceedings of the 29th annual European Conference on Information Retrieval Research, ECIR 2007, held in Rome, Italy in April 2007. The 42 revised full papers and 19 revised short papers presented together with 3 keynote talks and 21 poster papers were carefully reviewed and selected from 220 article submissions and 72 poster paper submissions. The papers are organized in topical sections on theory and design, efficiency, peer-to-peer networks, result merging, queries, relevance feedback, evaluation, classification and clustering, filtering, topic identification, expert finding, XML IR, Web IR, and multimedia IR.
Table of Contents
| The next generation Web search and the demise of the classic IR model | p. 1 |
| The last half-century : a perspective on experimentation in information retrieval | p. 2 |
| Learning in hyperlinked environments | p. 3 |
| A parameterised search system | p. 4 |
| Similarity measures for short segments of text | p. 16 |
| Multinomial randomness models for retrieval with document fields | p. 28 |
| On score distributions and relevance | p. 40 |
| Modeling term associations for ad-hoc retrieval performance within language modeling framework | p. 52 |
| Static pruning of terms in inverted files | p. 64 |
| Efficient indexing of versioned document sequences | p. 76 |
| Light syntactically-based index pruning for information retrieval | p. 88 |
| Sorting out the document identifier assignment problem | p. 101 |
| Efficient construction of FM-index using overlapping block processing for large scale texts | p. 113 |
| Performance comparison of clustered and replicated information retrieval systems | p. 124 |
| A study of a weighting scheme for information retrieval in hierarchical peer-to-peer networks | p. 136 |
| A decision-theoretic model for decentralised query routing in hierarchical peer-to-peer networks | p. 148 |
| Central-rank-based collection selection in uncooperative distributed information retrieval | p. 160 |
| Results merging algorithm using multiple regression models | p. 173 |
| Segmentation of search engine results for effective data-fusion | p. 185 |
| Query hardness estimation using Jensen-Shannon divergence among multiple scoring functions | p. 198 |
| Query reformulation and refinement using NLP-based sentence clustering | p. 210 |
| Automatic morphological query expansion using analogy-based machine learning | p. 222 |
| Advanced structural representations for question classification and answer re-ranking | p. 234 |
| Incorporating diversity and density in active learning for relevance feedback | p. 246 |
| Relevance feedback using weight propagation compared with information-theoretic query expansion | p. 258 |
| A retrieval evaluation methodology for incomplete relevance assessments | p. 271 |
| Evaluating query-independent object features for relevancy prediction | p. 283 |
| The utility of information extraction in the classification of books | p. 295 |
| Combined syntactic and semantic kernels for text classification | p. 307 |
| Fast large-scale spectral clustering by sequential shrinkage optimization | p. 319 |
| A probabilistic model for clustering text documents with multiple fields | p. 331 |
| Personalized communities in a distributed recommender system | p. 343 |
| Information recovery and discovery in collaborative Web search | p. 356 |
| Collaborative filtering based on transitive correlations between items | p. 368 |
| Entropy-based authorship search in large document collections | p. 381 |
| Use of topicality and information measures to improve document representation for story link detection | p. 393 |
| Ad hoc retrieval of documents with topical opinion | p. 405 |
| Probabilistic models for expert finding | p. 418 |
| Using relevance feedback in expert search | p. 431 |
| Using topic shifts for focussed access to XML repositories | p. 444 |
| Feature- and query-based table of contents generation for XML documents | p. 456 |
| Setting per-field normalisation hyper-parameters for the named-page finding search task | p. 468 |
| Combining evidence for relevance criteria : a framework and experiments in Web retrieval | p. 481 |
| Classifier fusion for SVM-based multimedia semantic indexing | p. 494 |
| Search of spoken documents retrieves well recognized transcripts | p. 505 |
| Natural language processing for usage based indexing of Web resources | p. 517 |
| Harnessing trust in social search | p. 525 |
| How to compare bilingual to monolingual cross-language information retrieval | p. 533 |
| Multilingual text classification using ontologies | p. 541 |
| Using visual-textual mutual information and entropy for inter-modal document indexing | p. 549 |
| A study of global inference algorithms in multi-document summarization | p. 557 |
| Document representation using global association distance model | p. 565 |
| Sentence level sentiment analysis in the presence of conjuncts using linguistic analysis | p. 573 |
| PageRank : when order changes | p. 581 |
| Model tree learning for query term weighting in question answering | p. 589 |
| Examining repetition in user search behavior | p. 597 |
| Popularity weighted ranking for academic digital libraries | p. 605 |
| Naming functions for the vector space model | p. 613 |
| Effective use of semantic structure in XML retrieval | p. 621 |
| Searching documents based on relevance and type | p. 629 |
| Investigation of the effectiveness of cross-media indexing | p. 637 |
| Improve ranking by using image information | p. 645 |
| N-step PageRank for Web search | p. 653 |
| Authorship attribution via combination of evidence | p. 661 |
| Cross-document entity tracking | p. 670 |
| Enterprise people and skill discovery using tolerant retrieval and visualization | p. 674 |
| Experimental results of the signal processing approach to distributional clustering of terms on Reuters-21578 collection | p. 678 |
| Overall comparison at the standard levels of recall of multiple retrieval methods with the Friedman test | p. 682 |
| Building a desktop search test-bed | p. 686 |
| Hierarchical browsing of video key frames | p. 691 |
| Active learning with history-based query selection for text categorisation | p. 695 |
| Fighting link spam with a two-stage ranking strategy | p. 699 |
| Improving Naive Bayes text classifier using smoothing methods | p. 703 |
| Term selection and query operations for video retrieval | p. 708 |
| An effective threshold-based neighbor selection in collaborative filtering | p. 712 |
| Combining multiple sources of evidence in XML multimedia documents : an inference network incorporating element language models | p. 716 |
| Language model based query classification | p. 720 |
| Integration of text and audio features for genre classification in music information retrieval | p. 724 |
| Retrieval method for video content in different format based on spatiotemporal features | p. 728 |
| Combination of document priors in Web information retrieval | p. 732 |
| Enhancing expert search through query modeling | p. 737 |
| A hierarchical consensus architecture for robust document clustering | p. 741 |
| Summarisation and novelty : an experimental investigation | p. 745 |
| A layered approach to context-dependent user modelling | p. 749 |
| A Bayesian approach for learning document type relevance | p. 753 |
| Table of Contents provided by Blackwell. All Rights Reserved. |
An electronic version of this book is available through VitalSource.
This book is viewable on PC, Mac, iPhone, iPad, iPod Touch, and most smartphones.
By purchasing, you will be able to view this book online, as well as download it, for the chosen number of days.
Digital License
You are licensing a digital product for a set duration. Durations are set forth in the product description, with "Lifetime" typically meaning five (5) years of online access and permanent download to a supported device. All licenses are non-transferable.
More details can be found here.
A downloadable version of this book is available through the eCampus Reader or compatible Adobe readers.
Applications are available on iOS, Android, PC, Mac, and Windows Mobile platforms.
Please view the compatibility matrix prior to purchase.