This course introduces the technologies behind web and search engines, including document indexing, searching and ranking. You will also learn different performance metrics for evaluating search quality, methods for understanding user intent and document semantics, and advanced applications including recommendation systems and summarization. Real-life examples and case studies are provided to reinforce the understanding of search algorithms.
Offrez à votre carrière le cadeau de Coursera Plus avec $160 de réduction, facturé annuellement. Économisez aujourd’hui.
Compétences que vous acquerrez
- Catégorie : Information Retrieval (IR)
- Catégorie : Document Retrieval
- Catégorie : Recommender Systems
- Catégorie : Enterprise Search
- Catégorie : Web Search
Détails à connaître
Ajouter à votre profil LinkedIn
16 devoirs
Découvrez comment les employés des entreprises prestigieuses maîtrisent des compétences recherchées
Obtenez un certificat professionnel
Ajoutez cette qualification à votre profil LinkedIn ou à votre CV
Partagez-le sur les réseaux sociaux et dans votre évaluation de performance
Il y a 16 modules dans ce cours
Welcome to the first module of this course! In this module, you will learn: (1) The major tasks involved in web search. (2) The history, evolution, impacts and challenges of web search engine.
Inclus
2 vidéos1 lecture1 devoir
In this module, you will learn: (1) Different business models of web search engine.
Inclus
2 vidéos1 lecture1 devoir
In this module, you will learn: (1) Different information retrieval models, Boolean Models and Statistical models. (2) How to determine important words in a document using TFxIDF.
Inclus
2 vidéos1 lecture1 devoir
In this module, you will learn: (1) How to represent a document/query as a vector of keywords. 2) How to determine the degree of similarity between a pair of vectors using different similarity measures, including Inner Product, Cosine Similarity, Jaccard Coefficient, Dice Coefficient.
Inclus
4 vidéos1 lecture1 devoir
In this module, you will learn: (1) How to index documents using inverted files. 2) How to perform update and deletion on inverted files.
Inclus
4 vidéos1 lecture1 devoir
In this module, you will learn: (1) How to use Extended Boolean Model to rank documents. 2) How to evaluate conjunctive and disjunctive queries using Extended Boolean Model.
Inclus
2 vidéos1 lecture1 devoir
In this module, you will learn: (1) The history and evolution of link-based ranking methods. 2) How to determine query/document similarities using HyPursuit, WISE, and PageRank. 3) Possible extensions that can be applied to Pagerank.
Inclus
3 vidéos1 lecture1 devoir
In this module, you will learn: (1) How to calculate hub and authority scores of web documents using HITS algorithm. 2) Understand the re-ranking process involved in HITS algorithm.
Inclus
4 vidéos1 lecture1 devoir
In this module, you will learn: (1) How to evaluate retrieval effectiveness of an information retrieval using Precision, Recall, F-Measure, Average-Precision, DCG, and NDCG. 2) What are the subjective relevance measures to be used on an information retrieval system.
Inclus
3 vidéos1 lecture1 devoir
In this module, you will learn: (1) How to use the TREC collection for benchmarking. 2) The characteristics of the TREC collection.
Inclus
1 vidéo1 lecture1 devoir
In this module, you will learn: (1) What is stemming. 2) Different Content-Sensitive and Context-Free stemming algorithms. 3) How to calculate Successor Variety and Entropy for stemming.
Inclus
4 vidéos1 lecture1 devoir
In this module, you will learn: (1) How to perform document space modification using relevance feedback. 2) How to perform query modification using relevance feedback.
Inclus
3 vidéos1 lecture1 devoir
In this module, you will learn: (1) Relative preference is more useful than absolute preference in personalization. 2) The importance of eye-tracking user study in personalized web search. 3) How to model preferences as a weighted vector.
Inclus
4 vidéos1 lecture1 devoir
In this module, you will learn: (1) How to calculate discrimination value for index term selection. 2) The importance of word usage in documents in search engine design.
Inclus
3 vidéos1 lecture1 devoir
In this module, you will learn: (1) How to use collocated terms in lieu of strict phrases in search. 2) How to identify collocated terms using Pointwise Mutual Information (PMI). 3) How to utilize N-grams for search.
Inclus
3 vidéos1 lecture1 devoir
In this module, you will learn: (1) The challenges of enterprise search. 2) The differences between web search and enterprise search.
Inclus
3 vidéos1 lecture1 devoir
Instructeurs
Recommandé si vous êtes intéressé(e) par Mobile and Web Development
Board Infinity
University of Minnesota
Google Cloud
Pour quelles raisons les étudiants sur Coursera nous choisissent-ils pour leur carrière ?
Ouvrez de nouvelles portes avec Coursera Plus
Accès illimité à plus de 7 000 cours de renommée internationale, à des projets pratiques et à des programmes de certificats reconnus sur le marché du travail, tous inclus dans votre abonnement
Faites progresser votre carrière avec un diplôme en ligne
Obtenez un diplôme auprès d’universités de renommée mondiale - 100 % en ligne
Rejoignez plus de 3 400 entreprises mondiales qui ont choisi Coursera pour les affaires
Améliorez les compétences de vos employés pour exceller dans l’économie numérique
Foire Aux Questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.