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Diversity and novelty in web search, recommender systems and data streams

Rodrygo L.T. Santos, Pablo Castells, Ismail Sengor Altingovde, Fazli Can
2014 Proceedings of the 7th ACM international conference on Web search and data mining - WSDM '14  
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.  ...  and novelty in web search, recommender systems, and data streams; • learn the fundamental evaluation metrics and have an overview of past and current evaluation campaigns; • get an overview of other related  ...  Copyright is held by the author/owner(s). results in the context of search engines, recommender systems, and data streams.  ... 
doi:10.1145/2556195.2556199 dblp:conf/wsdm/SantosCAC14 fatcat:xn764sew4bgjzh4du44vinyduq

Diversity and Novelty on the Web

Rodrygo L.T. Santos, Pablo Castells, Ismail Sengor Altingovde, Fazli Can
2015 Proceedings of the 24th International Conference on World Wide Web - WWW '15 Companion  
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,  ...  This tutorial aims to provide a unifying account of current research on diversity and novelty in different web information systems.  ...  and novelty in web search, recommender systems, and data streams; • learn the fundamental evaluation metrics and have an overview of past and current evaluation campaigns; • get an overview of other related  ... 
doi:10.1145/2740908.2741988 dblp:conf/www/SantosCAC15 fatcat:f64nwvj67vdojlttfadjmpnqpm

Content-based Music Recommendation: Evolution, State of the Art, and Challenges [article]

Yashar Deldjoo, Markus Schedl, Peter Knees
2021 arXiv   pre-print
Second, we identify six overarching challenges, according to which we organize our main discussion: increasing recommendation diversity and novelty, providing transparency and explanations, accomplishing  ...  In the past years, music recommendation models that leverage collaborative and content data -- which we refer to as content-driven models -- have been replacing pure CF or CB models.  ...  In [Schedl and Hauger 2015] , the authors consider diversity (and novelty) on the user level.  ... 
arXiv:2107.11803v1 fatcat:4hz4hqkkmvcapbdr3wvtp2t4iu

Exploring the Semantic Gap for Movie Recommendations

Mehdi Elahi, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Leonardo Cella, Stefano Cereda, Paolo Cremonesi
2017 Proceedings of the Eleventh ACM Conference on Recommender Systems - RecSys '17  
In a second study, we designed an empirical study involving 100 subjects and collected data regarding the quality perceived by the users.  ...  In the last years, there has been much a ention given to the semantic gap problem in multimedia retrieval systems.  ...  diversity and novelty in video recommendations [16] .  ... 
doi:10.1145/3109859.3109908 dblp:conf/recsys/ElahiDMCCC17 fatcat:2yflumh7ubcmxp7dzpv5v2cvym

A model for serendipitous music retrieval

Markus Schedl, David Hauger, Dominik Schnitzer
2012 Proceedings of the 2nd Workshop on Context-awareness in Retrieval and Recommendation - CaRR '12  
, hotness, recentness, novelty, and serendipity.  ...  In addition, we propose the use of social media mining techniques to address the problem of estimating popularity and hotness in a geo-aware manner.  ...  More precisely, we elaborated on the factors similarity, diversity, familiarity, hotness, novelty, and recentness.  ... 
doi:10.1145/2162102.2162105 fatcat:6tq7q5zhxnb4vhz4bz72mmm2da

On discovering non-obvious recommendations

Panagiotis Adamopoulos
2014 Proceedings of the 7th ACM international conference on Web search and data mining - WSDM '14  
recommender systems, based on classical metrics of dispersion and diversity as well as some newly proposed metrics.  ...  Furthermore, we propose a concept of unexpectedness in recommender systems and operationalize it by suggesting various mechanisms for specifying the expectations of the users and proposing a recommendation  ...  of coverage, novelty, serendipity, and diversity of recommendation lists [4, 5] .  ... 
doi:10.1145/2556195.2556204 dblp:conf/wsdm/Adamopoulos14 fatcat:57euabzoyne3xodu42rcipvbku

Ranking Technique to Improve Diversity in Recommender Systems

Vaishnavi. S, Jayanthi. A, Karthik. S
2013 International Journal of Computer Applications  
This paper gives one way to increase diversity by using LCM (Linear time Closed item set Miner) version 2 and I-Tree (Item-set tree). Data mining techniques are widely used in Recommender systems.  ...  The key challenge is to attain quality in recommendations namely accuracy, diversity, novelty etc.  ...  These systems removes redundancy in data sets i.e. it filter out the information from an information stream before presenting to user. In these systems such as search engines (e.g.  ... 
doi:10.5120/11551-6828 fatcat:pdzxcq5mq5dfpobzaiuuyor7qm

Classification-based Retrieval Methods to Enhance Information Discovery on the Web

Yogendra Kumar Jain, Sandeep Wadekar
2011 International Journal of Managing Information Technology  
Our log analyses are shown to be reasonable and informative, and can be used to detect changing trends and patterns in the query stream, thus providing valuable data to a search service.  ...  On a technical level, the novelty of the Web and the pace of its growth have created challenges not only in the development of new applications that realize the power of the Web, but also in the technology  ...  as the web has matured and more diverse data have become available [3, 5] .  ... 
doi:10.5121/ijmit.2011.3103 fatcat:vegjt3nfc5cyhivyxw3r2nt4li

Burst the Filter Bubble: Using Semantic Web to Enable Serendipity [chapter]

Valentina Maccatrozzo
2012 Lecture Notes in Computer Science  
This paper covers the work done in the first eight months of research and describes the plan for the entire PhD trajectory.  ...  Then, we propose a user model that can facilitate such user requirements, and enables serendipitous recommendations.  ...  Acknowledgments This research is supported by the FP7 STREP "ViSTA-TV" project, as well as partially supported by the FP7 IP "NoTube" project and the ONR Global NICOP "COMBINE" project.  ... 
doi:10.1007/978-3-642-35173-0_28 fatcat:5ia7k36ph5havpjo4bfeaoepra

NOUS: Construction and Querying of Dynamic Knowledge Graphs

Sutanay Choudhury, Khushbu Agarwal, Sumit Purohit, Baichuan Zhang, Meg Pirrung, Will Smith, Mathew Thomas
2017 2017 IEEE 33rd International Conference on Data Engineering (ICDE)  
The uniqueness of our system lies A) in its combination of curated KGs along with knowledge extracted from unstructured text, B) support for advanced trending and explanatory questions on a dynamic KG,  ...  and C) the ability to answer queries where the answer is embedded across multiple data sources.  ...  ACKNOWLEDGEMENTS The research is sponsored by the Analysis in Motion Initiative at Pacific Northwest National Laboratory.  ... 
doi:10.1109/icde.2017.228 dblp:conf/icde/ChoudhuryAPZPST17 fatcat:g7kzogldv5ahdig7i7u5epmgda

NOUS: Construction and Querying of Dynamic Knowledge Graphs [article]

Sutanay Choudhury and Khushbu Agarwal and Sumit Purohit and Baichuan Zhang and Meg Pirrung and Will Smith and Mathew Thomas
2016 arXiv   pre-print
The uniqueness of our system lies A) in its combination of curated KGs along with knowledge extracted from unstructured text, B) support for advanced trending and explanatory questions on a dynamic KG,  ...  and C) the ability to answer queries where the answer is embedded across multiple data sources.  ...  ACKNOWLEDGEMENTS The research is sponsored by the Analysis in Motion Initiative at Pacific Northwest National Laboratory.  ... 
arXiv:1606.02314v1 fatcat:vgm6fiorafbpfp56uafxyyj2fe

A Survey on Recommendation Methods Beyond Accuracy

Jungkyu HAN, Hayato YAMANA
2017 IEICE transactions on information and systems  
Studies have repeatedly pointed out that aspects that go beyond accuracy-such as the diversity and novelty of the recommended items-are as important as accuracy in making a satisfactory recommendation.  ...  From this survey, we identify diversity, novelty, and coverage as important aspects in achieving serendipity and popularity unbiasedness-factors that are important to user satisfaction and business profits  ...  In web search result diversification, extrinsic diversity indicates the interpretation diversity of queries; intrinsic diversity indicates the aspect diversity for the same interpretation [57] .  ... 
doi:10.1587/transinf.2017edr0003 fatcat:63lrwqxxufg3xgmssnsvsnqwmu

Real-Time Web Scale Event Summarization Using Sequential Decision Making [article]

Chris Kedzie, Fernando Diaz, Kathleen McKeown
2016 arXiv   pre-print
We present a system based on sequential decision making for the online summarization of massive document streams, such as those found on the web. Given an event of interest (e.g.  ...  We demonstrate a 28.3% improvement in summary F1 and a 43.8% improvement in time-sensitive F1 metrics.  ...  Any opinions, findings and conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the NSF.  ... 
arXiv:1605.03664v1 fatcat:2ep3nkomk5bx5esns2lgh2ncry

Search-based composition, streaming and playback of video archive content

Dag Johansen, Pål Halvorsen, Håvard Johansen, Håkon Riiser, Cathal Gurrin, Bjørn Olstad, Carsten Griwodz, Åge Kvalnes, Joseph Hurley, Tomas Kupka
2011 Multimedia tools and applications  
In this paper, we present two novel prototypes using an Internet based video composition and streaming system with a keyword-based search interface that collects, converts, analyses, indexes, and ranks  ...  Locating content in existing video archives is both a time and bandwidth consuming process since users might have to download and manually watch large portions of superfluous videos.  ...  Open Access This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided  ... 
doi:10.1007/s11042-011-0847-5 fatcat:5ukiaz7syfbajkxnmasorujniu

Recommender Systems and Linked Open Data [chapter]

Tommaso Di Noia, Vito Claudio Ostuni
2015 Lecture Notes in Computer Science  
We present an overview on recommender systems and we sketch how to use Linked Open Data to build a new generation of semantics-aware recommendation engines.  ...  Thanks to the Semantic Web technological stack and to the more recent Linked Open Data (LOD) initiative, a vast amount of RDF data have been published in freely accessible datasets connected with each  ...  and so on, to real-time one such as data streams, events, etc.  ... 
doi:10.1007/978-3-319-21768-0_4 fatcat:nwao4pnu7nhrjie5uh72mkrjdq
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