网站大量收购独家精品文档,联系QQ:2885784924

INDRI - Overview and Model.ppt

  1. 1、本文档共62页,可阅读全部内容。
  2. 2、有哪些信誉好的足球投注网站(book118)网站文档一经付费(服务费),不意味着购买了该文档的版权,仅供个人/单位学习、研究之用,不得用于商业用途,未经授权,严禁复制、发行、汇编、翻译或者网络传播等,侵权必究。
  3. 3、本站所有内容均由合作方或网友上传,本站不对文档的完整性、权威性及其观点立场正确性做任何保证或承诺!文档内容仅供研究参考,付费前请自行鉴别。如您付费,意味着您自己接受本站规则且自行承担风险,本站不退款、不进行额外附加服务;查看《如何避免下载的几个坑》。如果您已付费下载过本站文档,您可以点击 这里二次下载
  4. 4、如文档侵犯商业秘密、侵犯著作权、侵犯人身权等,请点击“版权申诉”(推荐),也可以打举报电话:400-050-0827(电话支持时间:9:00-18:30)。
查看更多
INDRI - Overview and Model.ppt

An Overview of the Indri Search Engine Don Metzler Center for Intelligent Information Retrieval University of Massachusetts, Amherst Outline Overview Retrieval Model System Architecture Evaluation Conclusions Zoology 101 Lemurs are primates found only in Madagascar 50 species (17 are endangered) Ring-tailed lemurs lemur catta Zoology 101 The indri is the largest type of lemur When first spotted the natives yelled “Indri! Indri!” Malagasy for Look! ?Over there! What is INDRI? INDRI is a “larger” version of the Lemur Toolkit Influences INQUERY [Callan, et. al. ’92] Inference network framework Structured query language Lemur [/] Language modeling (LM) toolkit Lucene [/lucene/docs/index.html] Popular off the shelf Java-based IR system Based on heuristic retrieval models No IR system currently combines all of these features Design Goals Robust retrieval model Inference net + language modeling [Metzler and Croft ’04] Powerful query language Extensions to INQUERY query language driven by requirements of QA, web search, and XML retrieval Designed to be as simple to use as possible, yet robust Off the shelf (Windows, *NIX, Mac platforms) Separate download, compatible with Lemur Simple to set up and use Fully functional API w/ language wrappers for Java, etc… Scalable Highly efficient code Distributed retrieval Comparing Collections Outline Overview Retrieval Model Model Query Language Applications System Architecture Evaluation Conclusions Document Representation Model Based on original inference network retrieval framework [Turtle and Croft ’91] Casts retrieval as inference in simple graphical model Extensions made to original model Incorporation of probabilities based on language modeling rather than tf.idf Multiple language models allowed in the network (one per indexed context) Model Model P( r | θ ) Probability of observing a term, phrase, or “concept” given a context language model ri nodes are binary Assume r ~ Bernoulli( θ ) “Model B” – [Metzler, Lavrenko, Croft ’

文档评论(0)

mghkfg58 + 关注
实名认证
内容提供者

该用户很懒,什么也没介绍

1亿VIP精品文档

相关文档