Mohlo by se vám také líbit

Více informací o knize Latent Semantic Indexing and Information Retrieval

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

Nákupem získáte 148 bodů

Anotace knihy

Most common search engines have serious problems returning all the documents which are important to a given user query because they can not disambiguate ambiguous terms or find documents which only include synonyms of the query terms. A promising approach to overcome these shortcomings gives Latent Semantic Indexing (LSI). This indexing scheme uses Singular Value Decomposition (SVD) to reveal the underlying latent semantic structure of documents.The implementation described in this book is a local search engine called Bosse for Wikipedia articles. Four different search types were implemented which allow to search for documents or terms similar to a given term, query or document.These search types are evaluated and theimportance of term weighting, exclusion of non content words and the optimal number of remaining dimension (k) during SVD are discussed.Furthermore, an introduction to Latent Semantic Indexing (LSI) and an explanation ofthe Singular Value Decomposition (SVD) is given.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science

• Plný název: Latent Semantic Indexing and Information Retrieval
• Podnázev: A Quest with Bosse
• Autor: Johanna Geiss
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 88
• EAN: 9783639003949
• ISBN: 3639003942
• ID: 06810548
• Nakladatelství: VDM Verlag Dr. Mueller E.K.
• Hmotnost: 127 g
• Rozměry: 229 × 152 × 5 mm
• Datum vydání: 16. April 2008

Oblíbené z jiného soudku

---

---

---