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K. R. Venugopal - Web Recommendations Systems

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K. R. Venugopal Web Recommendations Systems

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K R Venugopal K C Srikantaiah and Sejal Santosh Nimbhorkar Web - photo 1
K. R. Venugopal , K. C. Srikantaiah and Sejal Santosh Nimbhorkar
Web Recommendations Systems
K R Venugopal Bangalore University Bengaluru Karnataka India K C - photo 2
K. R. Venugopal
Bangalore University, Bengaluru, Karnataka, India
K. C. Srikantaiah
Department of Computer Science and Engineering, SJB Institute of Technology, Bengaluru, Karnataka, India
Sejal Santosh Nimbhorkar
Department of Computer Science and Engineering, BNM Institute of Technology, Bengaluru, Karnataka, India
ISBN 978-981-15-2512-4 e-ISBN 978-981-15-2513-1
https://doi.org/10.1007/978-981-15-2513-1
Springer Nature Singapore Pte Ltd. 2020
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd.

The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore

Foreword

This book covers the topic of Web recommendations systems and offers an overview of approaches to develop state-of-the-art systems. The authors present algorithmic approaches in the fields of Web recommendations by extracting knowledge from Web logs, Web page contents and hyperlinks. Recommendations systems have been used in diverse applications including query log mining, social networking, news recommendations and computational advertising. With the explosive and diverse growth of Web contents, Web recommendations have become a critical aspect of all search engines.

There is a growing interest in recommendations systems that suggest image, music, video, books and other products and services to users based on their likes and dislikes. Such services are important since user preferences are often complex and not readily reduced to keywords or subject categories, but rather best illustrated by an example. Hence, to enhance the user experience, the search engine provides various recommendations that are personal and of high quality. The authors discuss measures to improve the effectiveness of recommendations systems and illustrate the methods with practical case studies.

With contributions from researchers, this book strikes a balance between fundamental concepts and state-of-the-art technologies, providing readers with insights into Web recommendations systems. It is an essential reading for a broad audience, including academic researchers, research engineers and industrial practitioners due to its focus on applications and references. The readership of this book is intended to be postgraduate/doctoral researchers and professional engineers.

N. R. Shetty Chancellor
August 2019
Preface

The complexity and size of websites have grown exponentially along with the growth of the World Wide Web. Hence, it has become increasingly challenging and time consuming for the users to discover relevant information. Web recommendations systems are a subclass of knowledge refining systems that explore to predict users preferences, used to enhance user experience on the Web and to increase the search engine usability. In recent years, they are commonly utilized in diverse fields that include search queries, Web page, music, image, movies, books, news, research articles, products and social tags and can be developed using user search log and navigation history.

Chapter.

Semantically related search queries for the given input query is illustrated by discovering keywords present in snippets clicked and un-clicked documents in feedback session in Chap..

The authors appreciate the suggestions from the readers and users of this book. Kindly communicate the errors, if any, to the following email address: venugopalkr@gmail.com.

K. R. Venugopal
K. C. Srikantaiah
Sejal Santosh Nimbhorkar
Bengaluru, India
August 2019
Acknowledgements

We wish to place on record our deep debt of gratitude to Late Shri M. C. Jayadeva and Prof. K. Venkatagiri Gowda for their inspiration, encouragement and guidance throughout our lives. We thank Prof. N. R. Shetty, Former President, ISTE and Former Vice Chancellor, Bangalore University, Bangalore for his foreword to this book.

We owe debt of gratitude to Prof. L. M. Patnaik, Sri K. Narahari, Sri V. Nagaraj, Sri Mukund K. K., Prof. S. Lakshmana Reddy, Prof. K. Mallikarjuna Chetty, Prof. H. N. Shivashankar, Prof. P. Sreenivas Kumar, Prof. Kamala Krithivasan, Prof. C. Sivarama Murthy, Prof. T. Basavaraju, Prof. M. Channa Reddy, Prof. N. Srinivasan, Prof. M. Venkatachalappa, T. G. Girikumar, P. Palani, M. G. Muniyappa for their support.

We are grateful to Justice M. Rama Jois, Sri Y. K. Raghavendra Rao, Sri P. R. Ananda Rao, Sri Sreedhar Sagar, Sri Prabhakar Bhat, Prof. K. V. Acharya, Prof. Khajampadi Subramanya Bhat, Sri Dinesh Kamath, Sri D. M. Ravindra, Sri Jagadeesh Karanath, Sri N. Thippeswamy, Sri Sudhir, Sri V. Manjunath, Sri N. Dinesh Hegde, Sri Nagendra Prasad, Sri Sripad, Sri K. Thyagaraj, Smt. Savithri Venkatagiri Gowda, Smt. Karthyayini Venugopal and Smt. Rukmini T., our well-wishers for their encouragement and inspiring us to write this book.

We thank Prof. Dinesh Anvekar, Dr. P. Deepa Shenoy, Dr. K. B. Raja, Dr. K. Suresh Babu, Dr. D. N. Sujatha, Dr. Vibha L., Dr. S. H. Manjula, Dr. Thriveni J., Dr. Anita Kanavalli, Dr. Veena H. Bhatt, Dr. Sivasankari H., Dr. Shaila K., Dr. Prashanth C. R., Dr. Ramachandra, Smt. Nalini, Dr. D. Annapurna, Dr. Kumaraswamy M., Dr. Kiran K., Dr. Arunalatha J. S., Dr. Lata B. T., Dr. Krishna A. N., Prakash G. L., Gomathy Pratima, Vandana Jha, Krishna Kumar N., Srikanth P. L., Suraj M., Roopa M. S., Shailesh Kumar Gupta, Kamalakant Tiwari, Vinuth Chandrashekar, Vijay Mathapati, Rashmi V., Abhishek Datta, Thakur Ganesh Singh and Shradha G., for their suggestions and support in bringing out this book.

We express our deep gratitude and heartfelt thanks to our family members Tejaswi Venugopal, Sai Teja Vasudev, T. Shivaprakash, T. Krishnaprasad and Lakshmi Priya K., Chowdaiah, Parvatamma, Chikkaiah K. K., Honnagirigowda, Savitramma, Shashi M. H., Shreya K. S., Tanaya K. S., Jayantilal, Taralaben, Chintaman, Nalini, Santosh N., Jeet, for all their support, patience and encouragement.

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