We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback

Beyond Artificial Intelligence for Search

Formale Metadaten

Titel
Beyond Artificial Intelligence for Search
Serientitel
Anzahl der Teile
69
Autor
Lizenz
CC-Namensnennung 3.0 Unported:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen.
Identifikatoren
Herausgeber
Erscheinungsjahr
Sprache

Inhaltliche Metadaten

Fachgebiet
Genre
Abstract
It is proven that for relatively well-structured data, like in e-commerce for example, a hand tailored search configuration can easily outperform machine learning approaches for relevance. The search configuration considers the different searchable fields, a business taxonomy and ontology, some domain related synonyms, a few specific landing pages, boosts and some business numerical criteria. In the same way, we describe an approach for relevance in the case of large-scale search engines which is not based on classical "PageRank" and machine learning approaches. We propose a model based on social interactions between communities and individuals that are using or configuring the search engine. We then compare this model with machine learning powered approaches.