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| Content Provider | ACM Digital Library |
|---|---|
| Author | Venkataraman, Ganesh Ha-Thuc, Viet Arya, Dhruv Lad, Abhimanyu |
| Abstract | Instant search has become a common part of the search experience in most popular search engines and social networking websites. The goal is to provide instant feedback to the user in terms of query completions ("instant suggestions") or directly provide search results ("instant results") as the user is typing their query. The need for instant search has been further amplified by the proliferation of mobile devices and services like Siri and Google Now that aim to address the user's information need as quickly as possible. Examples of instant results include web queries like "weather san jose" (which directly provides the current temperature), social network queries like searching for someone's name on Facebook or LinkedIn (which directly provide the people matching the query). In each of these cases, instant search constitutes a superior user experience, as opposed to making the user complete their query before the system returns a list of results on the traditional search engine results page (SERP). We consider instant search experience to be a combination of instant results and instant suggestions, with the goal of satisfying the user's information need as quickly as possible with minimal effort on the part of the user. We first present the challenges involved in putting together an instant search solution at scale, followed by a survey of IR and NLP techniques that can be used to address them. We will also conduct a hands-on session aimed at putting together an end-to-end instant search system using open source tools and publicly available data sets. These tools include typeahead.js from Twitter for the frontend and Lucene/elasticsearch for the backend. We present techniques for prefix-based retrieval as well as injecting custom ranking functions into elasticsearch. For the search index, we will use the dataset made available by Stackoverflow. This tutorial is aimed at both researchers interested in knowing about retrieval techniques used for instant search as well as practitioners interested in deploying an instant search system at scale. The authors have worked extensively on building and scaling LinkedIn's instant search experience. To the best of our knowledge, this is the first tutorial that covers both theoretical and practical aspects of instant search. |
| Starting Page | 1211 |
| Ending Page | 1214 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781450340694 |
| DOI | 10.1145/2911451.2914806 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-07-07 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Query understanding Instant search Information retrieval |
| Content Type | Text |
| Resource Type | Article |
National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.
Learn more about this project from here.
NDLI is a conglomeration of freely available or institutionally contributed or donated or publisher managed contents. Almost all these contents are hosted and accessed from respective sources. The responsibility for authenticity, relevance, completeness, accuracy, reliability and suitability of these contents rests with the respective organization and NDLI has no responsibility or liability for these. Every effort is made to keep the NDLI portal up and running smoothly unless there are some unavoidable technical issues.
Ministry of Education, through its National Mission on Education through Information and Communication Technology (NMEICT), has sponsored and funded the National Digital Library of India (NDLI) project.
| Sl. | Authority | Responsibilities | Communication Details |
|---|---|---|---|
| 1 | Ministry of Education (GoI), Department of Higher Education |
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| 2 | Indian Institute of Technology Kharagpur | Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project | https://www.iitkgp.ac.in |
| 3 | National Digital Library of India Office, Indian Institute of Technology Kharagpur | The administrative and infrastructural headquarters of the project | Dr. B. Sutradhar bsutra@ndl.gov.in |
| 4 | Project PI / Joint PI | Principal Investigator and Joint Principal Investigators of the project |
Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon |
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