Akademik Dersler - İçerik

1. Will be able to explain the basics of information retrieval, and the heart of search engines.
Defines inverted indexes, and shows how simple Boolean queries can be processed using such indexes.
Explains why documents are preprocessed before indexing.
Explains how inverted indexes are augmented in various ways for functionality and speed.
Knows how to process queries that have spelling errors and other imprecise matches to the vocabulary in the document collection being searched.
Will be able to describe a number of algorithms for constructing the inverted index from a text collection with particular attention to highly scalable and distributed algorithms that can be applied to very large collections.
Applies techniques for compressing dictionaries and inverted indexes.
Describes the development of term weighting and the computation of scores using the idea of a list of documents that are rank-ordered for a query.
Will be able to evaluate an information retrieval system based on the relevance of the documents it retrieves.
Compares the relative performances of different systems on benchmark document collections and queries.
Bilgi Erişimindeki çeşitli ileri seviyedeki konuları tasvir edebilir.
Applies methods by which retrieval can be enhanced through the use of techniques like relevance feedback and query expansion, which aim at increasing the likelihood of retrieving relevant documents.
Retrieves information from documents that are structured with markup languages like XML and HTML.
Treats structured retrieval by reducing it to the vector space scoring methods.
Invokes probability theory to compute scores for documents on queries.
Develops traditional probabilistic IR, which provides a framework for computing the probability of relevance of a document, given a set of query terms.
Will be able to solve specific Information Retrieval problems using open source information libraries.
Develops software using Apache Lucene; which is a high-performance, full-featured text search engine library written entirely in Java.