Download PDF by Victor Lavrenko: A Generative Theory of Relevance

By Victor Lavrenko

ISBN-10: 3540893636

ISBN-13: 9783540893639

ISBN-10: 3540893644

ISBN-13: 9783540893646

A sleek info retrieval approach should have the aptitude to discover, arrange and current very various manifestations of data – corresponding to textual content, photos, video clips or database documents – any of that may be of relevance to the person. notwithstanding, the idea that of relevance, whereas doubtless intuitive, is admittedly not easy to outline, and it truly is even tougher to version in a proper way.

Lavrenko doesn't try and bring about a brand new definition of relevance, nor supply arguments as to why any specific definition can be theoretically stronger or extra whole. in its place, he is taking a generally authorized, albeit a little conservative definition, makes numerous assumptions, and from them develops a brand new probabilistic version that explicitly captures that proposal of relevance. With this publication, he makes significant contributions to the sector of data retrieval: first, a brand new strategy to examine topical relevance, complementing the 2 dominant versions, i.e., the classical probabilistic version and the language modeling method, and which explicitly combines records, queries, and relevance in one formalism; moment, a brand new process for modeling exchangeable sequences of discrete random variables which doesn't make any structural assumptions in regards to the information and that can additionally deal with infrequent events.

Thus his e-book is of significant curiosity to researchers and graduate scholars in details retrieval who concentrate on relevance modeling, score algorithms, and language modeling.

Show description

Read or Download A Generative Theory of Relevance PDF

Best structured design books

Get Large-Scale Scientific Computing: 7th International PDF

This e-book constitutes the completely refereed post-conference complaints of the seventh foreign convention on Large-Scale clinical Computations, LSSC 2009, held in Sozopol, Bulgaria, in June 2009. The ninety three revised complete papers awarded including five plenary and invited papers have been conscientiously reviewed and chosen from a number of submissions for inclusion within the e-book.

Get Database design for mere mortals: a hands-on guide to PDF

“This booklet takes the a bit of daunting technique of database layout and breaks it into thoroughly plausible and comprehensible parts. Mike’s technique when uncomplicated is totally specialist, and that i can suggest this ebook to any beginner database fashion designer. ”      –Sandra Barker, Lecturer, collage of South Australia, Australia “Databases are a serious infrastructure expertise for info platforms and today’s enterprise.

Evolutionary Multi-Criterion Optimization: 8th International by António Gaspar-Cunha, Carlos Henggeler Antunes, Carlos PDF

This e-book constitutes the refereed lawsuits of the eighth overseas convention on Evolutionary Multi-Criterion Optimization, EMO 2015 held in Guimarães, Portugal in March/April 2015. The sixty eight revised complete papers offered including four plenary talks have been rigorously reviewed and chosen from ninety submissions.

Extra resources for A Generative Theory of Relevance

Example text

2 Advantages of a common representation We admit, the above description assumes a fairly convoluted process for a simple fact of a few keywords making their way into the search box. On the other hand, we gain several distinct advantages by hypothesizing the process described above. These are: 1. We can define a common generative model. By assuming that documents and queries originate in the same space, we pave the way for defining a single distribution that can describe both documents and queries.

The above argument should be taken with a grain of salt. We are not suggesting that it is impossible to improve the dependency structure of the language modeling approach. We only claim that no improvement should be expected from direct models of dependence – models where random variables Qi are directly conditioned on some Qj=i . That, however, does not mean that no improvement will result from models that capture dependencies indirectly, perhaps via a hidden variable. For example, Berger and Lafferty [11] proposed to model information retrieval as statistical translation of a document into the query.

Note that in this case, we assume that the documents (images) also contain this textual description, even if in reality we are dealing with a collection of images that are not annotated in any way. Similarly, in a video archive, both documents and queries contain a sequence of bitmap frames, the audio signal, augmented with a complete textual transcript of speech in the audio and a narration, describing the objects and actions in the frames. As another example, consider a question answering scenario: in this case we assume that our representation space consists of pairs that combine a given question with a correct answer.

Download PDF sample

A Generative Theory of Relevance by Victor Lavrenko

by Richard

Rated 4.89 of 5 – based on 23 votes