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 Rodrygo L. T. Santos

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Average citations per article8.40
Citation Count378
Publication count45
Publication years2006-2017
Available for download24
Average downloads per article324.75
Downloads (cumulative)7,794
Downloads (12 Months)1,700
Downloads (6 Weeks)140
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45 results found Export Results: bibtexendnoteacmrefcsv

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1 published by ACM
October 2017 ICTIR '17: Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 6,   Downloads (12 Months): 23,   Downloads (Overall): 23

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Dynamic search in specialized domains is a challenging task, in which systems must learn about the user's need from his or her interactive exploration. Despite recent initiatives to advance the state-of-the-art for this task, limited progress has been achieved, with the best performing dynamic search systems only marginally improving upon ...
Keywords: interactive search, dynamic search, search effectiveness

2 published by ACM
October 2017 ICTIR '17: Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 11,   Downloads (Overall): 11

Full text available: PDFPDF
User interaction with a dynamic information retrieval (DIR) system can be seen as a cooperative effort towards finding relevant information. In this cooperation, the user provides the system with evidence of his or her information need (e.g., in the form of queries, query reformulations, relevance judgments, or clicks). In turn, ...
Keywords: formal methods, search effectiveness, directed information flow

3
October 2017 Journal of the Association for Information Science and Technology: Volume 68 Issue 10, October 2017
Publisher: John Wiley & Sons, Inc.
Bibliometrics:
Citation Count: 0

In this article we study the extent to which the interplay between recommended items affect recommendation effectiveness. We introduce and formalize the concept of co-utility as the property that any pair of recommended items has of being useful to a user, and exploit it to improve collaborative filtering recommendations. We ...

4 published by ACM
August 2017 RecSys '17: Proceedings of the Eleventh ACM Conference on Recommender Systems
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 15,   Downloads (12 Months): 146,   Downloads (Overall): 146

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Recent years have witnessed the emergence of sharing economy marketplaces, which enable users to share goods and services in a peer-to-peer fashion. A prominent example in the travel industry is Airbnb, which connects guests with hosts, allowing both to exchange cultural experiences in addition to the economic transaction. Nonetheless, Airbnb ...
Keywords: learning to rank, lodging recommendation, consumption behavior, context awareness, the sharing economy

5 published by ACM
August 2017 SIGIR '17: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 27,   Downloads (12 Months): 193,   Downloads (Overall): 193

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Query understanding is a challenging task primarily due to the inherent ambiguity of natural language. A common strategy for improving the understanding of natural language queries is to annotate them with semantic information mined from a knowledge base. Nevertheless, queries with different intents may arguably benefit from specialized annotation strategies. ...
Keywords: semantic query annotation, learning to rank, intent-aware

6 published by ACM
September 2016 RecSys '16: Proceedings of the 10th ACM Conference on Recommender Systems
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 7,   Downloads (12 Months): 262,   Downloads (Overall): 535

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Short-length random walks on the bipartite user-item graph have recently been shown to provide accurate and diverse recommendations. Nonetheless, these approaches suffer from severe time and space requirements, which can be alleviated via random walk sampling, at the cost of reduced recommendation quality. In addition, these approaches ignore users' ratings, ...
Keywords: item recommendation, collaborative filtering, Bayesian statistics

7 published by ACM
July 2016 SIGIR '16: Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 5,   Downloads (12 Months): 52,   Downloads (Overall): 96

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Expertise retrieval has been the subject of intense research over the past decade, particularly with the public availability of benchmark test collections for expertise retrieval in enterprises. Another domain which has seen comparatively less research on expertise retrieval is academic search. In this paper, we describe the Lattes Expertise Retrieval ...
Keywords: academic search, expertise retrieval

8 published by ACM
July 2016 SIGIR '16: Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 7,   Downloads (12 Months): 43,   Downloads (Overall): 97

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State-of-the-art expert search approaches rely on document-person associations to infer the expertise of a candidate person for a given query. Such associations have traditionally been modeled as boolean variables, indicating whether or not a candidate authored a document, and further normalized to penalize prolific authorships. In this paper, we address ...
Keywords: academic search, expertise retrieval

9 published by ACM
February 2016 ACM Transactions on Intelligent Systems and Technology (TIST) - Regular Papers, Survey Papers and Special Issue on Recommender System Benchmarks: Volume 7 Issue 3, April 2016
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 5,   Downloads (12 Months): 84,   Downloads (Overall): 322

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The design and evaluation of tag recommendation methods has historically focused on maximizing the relevance of the suggested tags for a given object, such as a movie or a song. However, relevance by itself may not be enough to guarantee recommendation usefulness. Promoting novelty and diversity in tag recommendation not ...
Keywords: Tag recommendation, topic diversity, relevance, novelty

10 published by ACM
September 2015 ICTIR '15: Proceedings of the 2015 International Conference on The Theory of Information Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 3,   Downloads (12 Months): 20,   Downloads (Overall): 83

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The identification of reputable entities is an important task in business, education, and many other fields. On the other hand, as an arguably subjective, multi-faceted concept, quantifying reputation is challenging. In this paper, instead of relying on a single, precise definition of reputation, we propose to exploit the transference of ...
Keywords: reputation flows, academic search, random walks

11 published by ACM
September 2015 RecSys '15: Proceedings of the 9th ACM Conference on Recommender Systems
Publisher: ACM
Bibliometrics:
Citation Count: 15
Downloads (6 Weeks): 38,   Downloads (12 Months): 480,   Downloads (Overall): 2,282

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The Web has grown into one of the most important channels to communicate social events nowadays. However, the sheer volume of events available in event-based social networks (EBSNs) often undermines the users' ability to choose the events that best fit their interests. Recommender systems appear as a natural solution for ...
Keywords: recommender systems, algorithms, event-based social networks, experimentation

12
June 2015 Scientometrics: Volume 103 Issue 3, June 2015
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 0

Quantitative and qualitative studies of scientific performance provide a measure of scientific productivity and represent a stimulus for improving research quality. Whatever the goal (e.g., hiring, firing, promoting or funding), such analyses may inform research agencies on directions for funding policies. In this article, we perform a data-driven assessment of ...
Keywords: Scientific production, Bibliometry, Research performance

13 published by ACM
May 2015 WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 3,   Downloads (12 Months): 29,   Downloads (Overall): 114

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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 ...
Keywords: diversity, ambiguity, redundancy, relevance, novelty

14
April 2015 Information Retrieval: Volume 18 Issue 2, April 2015
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 0

Daily-Deals Sites (DDSs) enable local businesses, such as restaurants and stores, to promote their products and services and to increase their sales by offering customers significantly reduced prices. If a customer finds a relevant deal in the catalog of electronic coupons, she can purchase it and the DDS receives a ...
Keywords: Armed bandit setting, Recommender systems, Daily-deals sites

15
March 2015 Foundations and Trends in Information Retrieval: Volume 9 Issue 1, 3 2015
Publisher: Now Publishers Inc.
Bibliometrics:
Citation Count: 13

Ranking in information retrieval has been traditionally approachedas a pursuit of relevant information, under the assumption that theusers' information needs are unambiguously conveyed by their submittedqueries. Nevertheless, as an inherently limited representation of amore complex information need, every query can arguably be consideredambiguous to some extent. In order to tackle ...

16
February 2015
Bibliometrics:
Citation Count: 0

Ranking in information retrieval has been traditionally approached as a pursuit of relevant information, under the assumption that the users' information needs are unambiguously conveyed by their submitted queries. Nevertheless, as an inherently limited representation of a more complex information need, every query can arguably be considered ambiguous to some ...

17 published by ACM
February 2015 WSDM '15: Proceedings of the Eighth ACM International Conference on Web Search and Data Mining
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 2,   Downloads (12 Months): 47,   Downloads (Overall): 322

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Building expertise profiles is a crucial step towards identifying experts in different knowledge areas. However, summarizing the topics of expertise of a given individual is a challenging task, primarily due to the semi-structured and heterogeneous nature of the documentary evidence available for this task. In this paper, we investigate the ...
Keywords: learning to rank, tag recommendation, expertise profiling

18
October 2014 SPIRE 2014: Proceedings of the 21st International Symposium on String Processing and Information Retrieval - Volume 8799
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 0

Recommender systems aim at predicting the preference of a user towards a given item (e.g., a movie, a song). For systems that must cope with continuously evolving item catalogs, there will be a considerable rate of new items for which no past preference is known that could otherwise inform preference-based ...

19
October 2014 SPIRE 2014: Proceedings of the 21st International Symposium on String Processing and Information Retrieval - Volume 8799
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 0

Daily deals sites, such as Groupon and LivingSocial, attract millions of customers in the hunt for products and services at substantially reduced prices (i.e., deals). An important aspect for the profitability of these sites is the correct prediction of how many coupons will be sold for each deal in their ...

20
September 2014 Journal of the Association for Information Science and Technology: Volume 65 Issue 9, September 2014
Publisher: John Wiley & Sons, Inc.
Bibliometrics:
Citation Count: 0

A substantial fraction of web search queries contain references to entities, such as persons, organizations, and locations. Recently, methods that exploit named entities have been shown to be more effective for query expansion than traditional pseudorelevance feedback methods. In this article, we introduce a supervised learning approach that exploits named ...
Keywords: machine learning, information retrieval, query expansion



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