Search Engines for Web and Enterprise Data from Coursera

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Syllabus

Introduction to Search Engines for Web and Enterprise Data

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.

Search Engine Business Model

In this module, you will learn: (1) Different business models of web search engine.

TFxIDF

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.

Vector Space Model

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.

Inverted Files

In this module, you will learn: (1) How to index documents using inverted files. 2) How to perform update and deletion on inverted files.

Extended Boolean Model

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.

PageRank

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.

HITS Algorithm

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.

Performance Evaluation of Information Retrieval System

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.

Benchmarking

In this module, you will learn: (1) How to use the TREC collection for benchmarking. 2) The characteristics of the TREC collection.

Stopword removal and Stemming

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.

Relevance Feedback

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.

Personalized Web Search

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.

Index Term Selection

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.

Discovering Phrases and Correlated Terms

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.

Enterprise Search Engine

In this module, you will learn: (1) The challenges of enterprise search. 2) The differences between web search and enterprise search.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops strong foundation for beginners

Expected to understand and apply core concepts and principles in the field of web and search engines

This course is recommended for beginners who are interested in web and search engines

Career center

Learners who complete Search Engines for Web and Enterprise Data will develop knowledge and skills that may be useful to these careers:

Search Engine Marketing Manager

A Search Engine Marketing Manager optimizes websites and marketing campaigns for visibility and ranking in search engine results. [Course Name] is a must-take course for those seeking this role. It provides a comprehensive understanding of search engine algorithms and techniques, which can help professionals in this field excel.

See salaries and explore the career path for Search Engine Marketing Manager

Search Engine Optimization Specialist

A Search Engine Optimization Specialist helps businesses improve their visibility and ranking in search engine results. Taking [Course Name] is highly recommended to succeed in this role. It will provide expertise in search engine algorithms and how to optimize websites for better ranking.

See salaries and explore the career path for Search Engine Optimization Specialist

Information Retrieval Engineer

An Information Retrieval Engineer designs and develops systems that allow users to search for and retrieve information. [Course Name] is highly relevant to this role. The course will help with understanding the principles of search engine algorithms and how to evaluate their effectiveness.

See salaries and explore the career path for Information Retrieval Engineer

Recommendation Systems Engineer

A Recommendation Systems Engineer designs and builds systems that provide personalized recommendations to users. [Course Name] is an excellent choice for this role. The course provides knowledge of the underlying algorithms and techniques used in recommendation systems, including those used by search engines.

See salaries and explore the career path for Recommendation Systems Engineer

Information Architect

An Information Architect is responsible for organizing, structuring, and labeling web pages for optimal user experience. [Course Name] will be helpful for those pursuing this role as it provides insights into how search engines work and how users interact with information.

See salaries and explore the career path for Information Architect

Web Analytics Manager

A Web Analytics Manager analyzes website traffic and user behavior to improve website performance. [Course Name] will be helpful for those pursuing this role. The course provides a solid understanding of search engine optimization and how to measure website effectiveness.

See salaries and explore the career path for Web Analytics Manager

Data Scientist

Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. Taking [Course Name] will provide a solid foundation in search engine technologies, which is essential for working with large datasets.

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Knowledge Engineer

A Knowledge Engineer builds and maintains knowledge bases for use in expert systems. Taking [Course Name] can be beneficial for aspiring Knowledge Engineers. The course's focus on understanding document semantics will be helpful in designing effective knowledge bases.

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Statistician

A Statistician collects, analyzes, and interprets data to help businesses and organizations make informed decisions. [Course Name] is a valuable course for those seeking a career in statistics. It provides a solid understanding of statistical models and techniques used in search engines.

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Product Manager

A Product Manager is responsible for the development and launch of new products. [Course Name] will be helpful for Product Managers working on search-related products. It can help them understand the technical aspects of search engines and how to design features that meet user needs.

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Data Analyst

A Data Analyst collects, analyzes, and interprets data to help businesses make better decisions. [Course Name] is a helpful course for those looking to break into this role. Knowledge of search engine indexing can help Data Analysts organize and analyze large datasets.

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Machine Learning Engineer

A Machine Learning Engineer designs and builds machine learning models. [Course Name] may be useful in this role. The course provides a foundation in understanding search engine algorithms, which heavily utilize machine learning.

See salaries and explore the career path for Machine Learning Engineer

User Experience Researcher

A User Experience Researcher studies how users interact with products and services to improve their usability. [Course Name] may be useful in this role. The course provides insights into how users search for information and interact with search engines.

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Software Engineer

A Software Engineer designs, develops, and maintains software systems. [Course Name] may be helpful in this role, especially for those interested in working on search-related projects. The course provides a foundation in search engine algorithms and technologies.

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Web Developer

A Web Developer is responsible for the design and development of websites. [Course Name] is an excellent option for those seeking this career path. This course may be useful in understanding search engine ranking algorithms and how to optimize websites accordingly.

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Search Engines for Web and Enterprise Data

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