Diversity and Novelty on the Web: Search, Recommendation, and Data Streaming Aspects

Download

index.pdf

Date

2015-05-22

Author

Santos, Rodrygo L. T.
Castells, Pablo
Altıngövde, İsmail Sengör
CAN, FAZLI

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

182
views

100
downloads

This tutorial aims to provide a unifying account of current research on diversity and novelty in different web information systems. In particular, the tutorial will cover the motivations, as well as the most established approaches for producing and evaluating diverse results in search engines, recommender systems, and data streams, all within the context of the World Wide Web. By contrasting the state-of-the-art in these multiple domains, this tutorial aims to derive a common understanding of the diversification problem and the existing solutions, their commonalities and differences, as a means to foster new research directions.

Subject Keywords

Information systems, Information retrieval, Information retrieval query processing

URI

https://hdl.handle.net/11511/44902

DOI

https://doi.org/10.1145/2740908.2741988

Collections

Department of Computer Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Diversity and Novelty in Web Search, Recommender Systems and Data Streams Santos, Rodrygo L. T.; Castells, Pablo; Altıngövde, İsmail Sengör; Can, Fazli (2014-01-01) This tutorial aims to provide a unifying account of current research on diversity and novelty in the domains of web search, recommender systems, and data stream processing.
Diversity and novelty in information retrieval Santos, Rodrygo L.T.; Castells, Pablo; Altıngövde, İsmail Sengör; Can, Fazli (2013-09-02) This tutorial aims to provide a unifying account of current research on diversity and novelty in different IR domains, namely, in the context of search engines, recommender systems, and data streams.
Evolution of web search results within years Altıngövde, İsmail Sengör; Ulusoy, Özgür (2011-01-01) We provide a first large-scale analysis of the evolution of query results obtained from a real search engine at two distant points in time, namely, in 2007 and 2010, for a set of 630,000 real queries.
Characterizing web search queries that match very few or no results Altıngövde, İsmail Sengör; Cambazoglu, Berkant Barla; Ozcan, Rifat; Sarigil, Erdem; Ulusoy, Özgür (2012-12-19) Despite the continuous efforts to improve the web search quality, a non-negligible fraction of user queries end up with very few or even no matching results in leading web search engines. In this work, we provide a detailed characterization of such queries based on an analysis of a real-life query log. Our experimental setup allows us to characterize the queries with few/no results and compare the mechanisms employed by the major search engines in handling them.
Explicit diversification of search results across multiple dimensions for educational search Yigit-Sert, Sevgi; Altıngövde, İsmail Sengör; Macdonald, Craig; Ounis, Iadh; ULUSOY, ÖZGÜR (Wiley, 2020-09-01) Making use of search systems to foster learning is an emerging research trend known assearch as learning. Earlier works identified result diversification as a useful technique to support learning-oriented search, since diversification ensures a comprehensive coverage of various aspects of the queried topic in the result list. Inspired by this finding, first we define a new research problem, multidimensional result diversification, in the context of educational search. We argue that in a search engine for th...

Citation Formats

R. L. T. Santos, P. Castells, İ. S. Altıngövde, and F. CAN, “Diversity and Novelty on the Web: Search, Recommendation, and Data Streaming Aspects,” 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/44902.