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Building a Scalable Index and a Web Search Engine for Music on the Internet Using Open Source Software
Department of Information Science and Technology Building a Scalable Index and a Web Search Engine for Music on the Internet using Open Source software André Parreira Ricardo Thesis submitted in partial fulfillment of the requirements for the degree of Master in Computer Science and Business Management Advisor: Professor Carlos Serrão, Assistant Professor, ISCTE-IUL September, 2010 Acknowledgments I should say that I feel grateful for doing a thesis linked to music, an art which I love and esteem so much. Therefore, I would like to take a moment to thank all the persons who made my accomplishment possible and hence this is also part of their deed too. To my family, first for having instigated in me the curiosity to read, to know, to think and go further. And secondly for allowing me to continue my studies, providing the environment and the financial means to make it possible. To my classmate André Guerreiro, I would like to thank the invaluable brainstorming, the patience and the help through our college years. To my friend Isabel Silva, who gave me a precious help in the final revision of this document. Everyone in ADETTI-IUL for the time and the attention they gave me. Especially the people over Caixa Mágica, because I truly value the expertise transmitted, which was useful to my thesis and I am sure will also help me during my professional course. To my teacher and MSc. advisor, Professor Carlos Serrão, for embracing my will to master in this area and for being always available to help me when I needed some advice. -
A Query Suggestion Method Combining TF-IDF and Jaccard Coefficient for Interactive Web Search
www.sciedu.ca/air Artificial Intelligence Research 2015, Vol. 4, No. 2 ORIGINAL RESEARCH A query suggestion method combining TF-IDF and Jaccard Coefficient for interactive web search Suthira Plansangket ,∗ John Q Gan School of Computer Science and Electronic Engineering, University of Essex, United Kingdom Received: May 10, 2015 Accepted: July 27, 2015 Online Published: August 6, 2015 DOI: 10.5430/air.v4n2p119 URL: http://dx.doi.org/10.5430/air.v4n2p119 Abstract This paper proposes a query suggestion method combining two ranked retrieval methods: TF-IDF and Jaccard coefficient. Four performance criteria plus user evaluation have been adopted to evaluate this combined method in terms of ranking and relevance from different perspectives. Two experiments have been conducted using carefully designed eighty test queries which are related to eight topics. One experiment aims to evaluate the quality of the query suggestions generated by the proposed method, and the other aims to evaluate the improvement of the relevance of retuned documents in interactive web search by using the query suggestions so as to evaluate the effectiveness of the developed method. The experimental results show that the method developed in this paper is the best method for query suggestion among the methods evaluated, significantly outperforming the most popularly used TF-IDF method. In addition, the query suggestions generated by the proposed method significantly improve the relevance of returned documents in interactive web search in terms of increasing the precision or the number of highly relevant documents. Key Words: Query suggestion, Query expansion, Information retrieval, Search engine, Performance evaluation 1 Introduction a cold-start problem. -
Concept-Based Interactive Query Expansion ∗
Concept-Based Interactive Query Expansion ∗ Bruno M. Fonseca12 Paulo Golgher2 Bruno Pôssas12 [email protected] [email protected] [email protected] Berthier Ribeiro-Neto1 2 Nivio Ziviani1 [email protected] [email protected] ABSTRACT back, web searching. Despite the recent advances in search quality, the fast increase in the size of the Web collection has introduced new challenges for 1. INTRODUCTION Web ranking algorithms. In fact, there are still many situations in The Web is an innovation that has modified the way we learn, which the users are presented with imprecise or very poor results. work and live. The novelty lies not only on the freedom to publish, One of the key difficulties is the fact that users usually submit very but also in the almost universal communication facilities. It marks short and ambiguous queries, and they do not fully specify their in- formation needs. That is, it is necessary to improve the query for- the beginning of a new era, of a new society, started by what we mation process if better answers are to be provided. In this work we may call the information revolution. In these new times, the volume of information that can be ac- propose a novel concept-based query expansion technique, which cessed at low cost and high convenience is mind boggling. To illus- allows disambiguating queries submitted to search engines. The trate, Google1 advertised indexing more than 8 billion Web pages concepts are extracted by analyzing and locating cycles in a special type of query relations graph. This is a directed graph built from in 2004. -
Xu: an Automated Query Expansion and Optimization Tool
Xu: An Automated Query Expansion and Optimization Tool Morgan Gallant Haruna Isah Farhana Zulkernine Shahzad Khan School of Computing School of Computing School of Computing Gnowit Inc. Queen’s University Queen’s University Queen’s University Ottawa, ON, Canada Kingston, ON, Canada Kingston, ON, Canada Kingston, ON, Canada [email protected] [email protected] [email protected] [email protected] Abstract— The exponential growth of information on the A core issue in IR and search applications is the evaluation Internet is a big challenge for information retrieval systems of search results. The emphasis is on users and their towards generating relevant results. Novel approaches are information needs. The users of an IR system such as a search required to reformat or expand user queries to generate a engine, are the ultimate judges of the quality of the results [2]. satisfactory response and increase recall and precision. Query There are many reasons why a search result may not meet user expansion (QE) is a technique to broaden users’ queries by expectations. Sometimes the query expression may be too introducing additional tokens or phrases based on some short to dictate what the user is looking for or may not be well semantic similarity metrics. The tradeoff is the added formulated [5]. In most cases, the user's original query is not computational complexity to find semantically similar words sufficient to retrieve the information that the user is looking and a possible increase in noise in information retrieval. Despite several research efforts on this topic, QE has not yet been for [6]. -
Improved Methods for Mining Software Repositories to Detect Evolutionary Couplings
IMPROVED METHODS FOR MINING SOFTWARE REPOSITORIES TO DETECT EVOLUTIONARY COUPLINGS A dissertation submitted to Kent State University in partial fulfillment of the requirements for the degree of Doctor of Philosophy by Abdulkareem Alali August, 2014 Dissertation written by Abdulkareem Alali B.S., Yarmouk University, USA, 2002 M.S., Kent State University, USA, 2008 Ph.D., Kent State University, USA, 2014 Approved by Dr. Jonathan I. Maletic Chair, Doctoral Dissertation Committee Dr. Feodor F. Dragan Members, Doctoral Dissertation Committee Dr. Hassan Peyravi Dr. Michael L. Collard Dr. Joseph Ortiz Dr. Declan Keane Accepted by Dr. Javed Khan Chair, Department of Computer Science Dr. James Blank Dean, College of Arts and Sciences ii TABLE OF CONTENTS TABLE OF CONTENTS ............................................................................................... III LIST OF FIGURES ..................................................................................................... VIII LIST OF TABLES ....................................................................................................... XIII ACKNOWLEDGEMENTS ..........................................................................................XX CHAPTER 1 INTRODUCTION ................................................................................... 22 1.1 Motivation and Problem .......................................................................................... 24 1.2 Research Overview ................................................................................................ -
NYC*BUG in Perspective
Tens Years of NYC*BUG in Perspective versioning ● 10 years is actually December/January ● aimed at a broader audience than just people here ● start an UG? ● “organizational” angle THIS IS A DOT RELEASE my perspective ● I'm not the only one ● many other significant players ● my role exaggerated ● the “philosophical” one ● difficult talk: 10 years I posit that ● We're not the best thing since sliced bread ● We're just a user group But... ● Much significant impact, in NYC and beyond ● The community is better to have us ● Would be better if there were more like us I posit that ● We're not the best thing since sliced bread ● We're just a user group But... ● Much significant impact, in NYC and beyond ● The community is better to have us ● Would be better if there were more like us What Was Clear ● No to “Hobbyism” ● No to “Professionalism” ● No to “Sales” (Apple 2004 meeting) ● Neither a software project nor technical meritocracy ● Free, open, loose ● Needed LOTS of planning (mailing list stats) ● Viewed ourselves as part of a wider community, whether they liked it or not ● People + Technology = success For instance... http://mail-index.netbsd.org/regional-nyc/2004/01/13/0003.html Subject: Re: NYCBUG To: None <[email protected]> From: Michael Shalayeff <[email protected]> List: regional-nyc Date: 01/13/2004 12:51:01 Making, drinking tea and reading an opus magnum from Andrew Brown: > > http://lists.freebsd.org/pipermail/freebsd-advocacy/2004- January/000873.html > > i wonder if beer is involved...there's no mention of it in that posting. -
The GNU General Public License (GPL) Does Govern All Other Use of the Material That Constitutes the Autoconf Macro
Notice About this document The following copyright statements and licenses apply to software components that are distributed with various versions of the StorageGRID PreGRID Environment products. Your product does not necessarily use all the software components referred to below. Where required, source code is published at the following location: ftp://ftp.netapp.com/frm-ntap/opensource/ 215-10078_A0_ur001-Copyright 2015 NetApp, Inc. All rights reserved. 1 Notice Copyrights and licenses The following component is subject to the BSD 1.0 • Free BSD - 44_lite BSD 1.0 Copyright (c) 1982, 1986, 1990, 1991, 1993 The Regents of the University of California. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. • All advertising materials mentioning features or use of this software must display the following acknowledgement: This product includes software developed by the University of California, Berkeley and its contributors. • Neither the name of the University nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE REGENTS AND CONTRIBUTORS ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. -
Pipenightdreams Osgcal-Doc Mumudvb Mpg123-Alsa Tbb
pipenightdreams osgcal-doc mumudvb mpg123-alsa tbb-examples libgammu4-dbg gcc-4.1-doc snort-rules-default davical cutmp3 libevolution5.0-cil aspell-am python-gobject-doc openoffice.org-l10n-mn libc6-xen xserver-xorg trophy-data t38modem pioneers-console libnb-platform10-java libgtkglext1-ruby libboost-wave1.39-dev drgenius bfbtester libchromexvmcpro1 isdnutils-xtools ubuntuone-client openoffice.org2-math openoffice.org-l10n-lt lsb-cxx-ia32 kdeartwork-emoticons-kde4 wmpuzzle trafshow python-plplot lx-gdb link-monitor-applet libscm-dev liblog-agent-logger-perl libccrtp-doc libclass-throwable-perl kde-i18n-csb jack-jconv hamradio-menus coinor-libvol-doc msx-emulator bitbake nabi language-pack-gnome-zh libpaperg popularity-contest xracer-tools xfont-nexus opendrim-lmp-baseserver libvorbisfile-ruby liblinebreak-doc libgfcui-2.0-0c2a-dbg libblacs-mpi-dev dict-freedict-spa-eng blender-ogrexml aspell-da x11-apps openoffice.org-l10n-lv openoffice.org-l10n-nl pnmtopng libodbcinstq1 libhsqldb-java-doc libmono-addins-gui0.2-cil sg3-utils linux-backports-modules-alsa-2.6.31-19-generic yorick-yeti-gsl python-pymssql plasma-widget-cpuload mcpp gpsim-lcd cl-csv libhtml-clean-perl asterisk-dbg apt-dater-dbg libgnome-mag1-dev language-pack-gnome-yo python-crypto svn-autoreleasedeb sugar-terminal-activity mii-diag maria-doc libplexus-component-api-java-doc libhugs-hgl-bundled libchipcard-libgwenhywfar47-plugins libghc6-random-dev freefem3d ezmlm cakephp-scripts aspell-ar ara-byte not+sparc openoffice.org-l10n-nn linux-backports-modules-karmic-generic-pae -
Query Expansion with Locally-Trained Word Embeddings
Query Expansion with Locally-Trained Word Embeddings Fernando Diaz Bhaskar Mitra Nick Craswell Microsoft Microsoft Microsoft [email protected] [email protected] [email protected] Abstract trained using local windows, risks captur- ing only coarse representations of those top- Continuous space word embeddings ics dominant in the corpus. While a par- have received a great deal of atten- ticular embedding may be appropriate for a tion in the natural language processing specific word within a sentence-length con- and machine learning communities for text globally, it may be entirely inappropri- their ability to model term similarity ate within a specific topic. Gale et al. re- and other relationships. We study the fer to this as the ‘one sense per discourse’ use of term relatedness in the context property (Gale et al., 1992). Previous work of query expansion for ad hoc informa- by Yarowsky demonstrates that this property tion retrieval. We demonstrate that can be successfully combined with informa- word embeddings such as word2vec and tion from nearby terms for word sense dis- GloVe, when trained globally, under- ambiguation (Yarowsky, 1995). Our work ex- perform corpus and query specific em- tends this approach to word2vec-style training beddings for retrieval tasks. These re- in the context word similarity. sults suggest that other tasks benefit- For many tasks that require topic-specific ing from global embeddings may also linguistic analysis, we argue that topic-specific benefit from local embeddings. representations should outperform global rep- resentations. Indeed, it is difficult to imagine 1 Introduction a natural language processing task that would Continuous space embeddings such as not benefit from an understanding of the local word2vec (Mikolov et al., 2013b) or GloVe topical structure. -
Rotterdam Werkt!; Improving Interorganizational Mobility Through Centralizing Vacancies and Resumes
Rotterdam Werkt!; Improving interorganizational mobility through centralizing vacancies and resumes Authors L.E. van Hal H.A.B. Janse D.R. den Ouden R.H. Piepenbrink C.S. Willekens Rotterdam Werkt! Improving interorganizational mobility through centralizing vacancies and resumes To obtain the degree of Bachelor of Science at the Delft University of Technology, to be presented and defended publicly on Friday January 29, 2021 at 14:30 AM. Authors: L.E. van Hal H.A.B. Janse D.R. den Ouden R.H. Piepenbrink C.S. Willekens Project duration: November 9, 2020 – January 29, 2021 Guiding Committee: H. Bolk Rotterdam Werkt!, Client R. Rotmans, Rotterdam Werkt!, Client Dr. C. Hauff, TU Delft, Coach Ir. T.A.R. Overklift Vaupel Klein TU Delft, Bachelor Project Coordinator An electronic version of this thesis is available at http://repository.tudelft.nl/. Preface This report denotes the end of the bachelor in Computer Science and Engineering at the Delft University of Technology. The report demonstrates all the skills we have learned during the bachelor courses in order to be a successful computer scientist or engineer. It will discuss the product we created over the past 10 weeks and will touch upon the skills and knowledge used in order to create it. Our client, Rotterdam Werkt!, is a network of companies located in Rotterdam who are aiming to increase mobility between their organizations. The goal of this report is to inform the reader about the complete work, different phases of this projects and future recommendations for our client. ii Summary Rotterdam Werkt! is a network of fourteen organizations in the Rotterdam area in the Netherlands. -
A New Query Expansion Method Based on Query Logs Mining1
International Journal on Asian Language Processing, 19 (1): 1-12 1 A new query expansion method based on query logs mining 1 Zhu Kunpeng, Wang Xiaolong, Liu Yuanchao School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China Email:{kpzhu, wangxl, ycliu}@insun.hit.edu.cn Abstract: Query expansion has long been suggested as an effective way to improve the performance of information retrieval systems by adding additional relevant terms to the original queries. However, most previous research has been limited in extracting new terms from a subset of relevant documents, but has not exploited the information about user interactions. In this paper, we proposed a method for automatic query expansion based on user interactions recorded in query logs. The central idea is to extract correlations among queries by analyzing the common documents the users selected for them, and the expanded terms only come from the associated queries more than the relevant documents. In particular, we argue that queries should be dealt with in different ways according to their ambiguity degrees, which can be calculated from the log information. We verify this method in a large scale query logs collection and the experimental results show that the method makes good use of the knowledge of user interactions, and it can remarkably improve search performance. Keywords: Query expansion, log mining, information retrieval, search engine, 1. Introduction With the rapid growth of information on the World Wide Web, more and more users need search engine technology to help them exploit such an extremely valuable resource. Although many search engine systems have been successfully deployed, the current search systems are still far from optimal because of using simple keywords to search and rank relevant documents. -
Query Expansion Techniques
Query Expansion techniques Ashish Kankaria Indian Institute of Technology Bombay, Mumbai [email protected] 1. NEED OF QUERY EXPANSION • Creating a dictionary of expansion terms for each terms, The Information Retrieval system described above works and then looking up in the dictionary for expansion very well if the user is able to convey his information need in form of query. But query is seldom complete. The query 2. EXTERNAL RESOURCE BASED QUERY provided by the user is often unstructured and incomplete. An incomplete query hinders a search engine from satisfy- EXPANSION ing the user’s information need. In practice we need some In these approaches, the query is expanded using some ex- representation which can correctly and more importantly ternal resource like WordNet, lexical dictionaries or the- completely express the user’s information need. saurus.These dictionaries are built manually which contain mappings of the terms to their relevant terms. There tech- Figure 1 explains the need of query expansion. Consider niques involve look up in such resources and adding the re- an input query “Sachin Tendulkar”. As a search engine de- lated terms to query. Following are some of external re- veloper we would expect that user wants documents related source based query expansion techniques. [5] to cricketer Sachin Tendulkar. Consider our corpus has 2 documents. First document is an informative page about 2.1 Thesaurus based expansion Sachin Tendulkar which contains the query terms where as A thesaurus is a data structure that lists words grouped to- second document is an blog on Tendulkar which has various gether according to similarity of meaning (containing syn- adjectives related to Sachin Tendulkar like master blaster or onyms and sometimes antonyms), in contrast to a dictio- God of cricket but does not have query terms.