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Result 1 – 20 of 1,266
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1 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): 9,   Downloads (12 Months): 124,   Downloads (Overall): 439

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In recommending POIs(Point-Of-Interests), factors such as the diversity of the recommended POIs are as important as accuracy for providing a satisfactory recommendation. Although existing diversification methods can help POI recommender systems suggest more diverse POIs, they lack "geographical diversification," which results in the concentration of the supposedly "diverse" recommended POIs ...
Keywords: diversity, geographical diversity, poi recommendation
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2 published by ACM
October 2018 CIKM '18: Proceedings of the 27th ACM International Conference on Information and Knowledge Management
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 49,   Downloads (12 Months): 739,   Downloads (Overall): 739

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Many recommendation systems produce result sets with large numbers of highly similar items. Diversifying these results is often accomplished with heuristics, which are impoverished models of users' desire for diversity. However, integrating more complex statistical models of diversity into large-scale, mature systems is challenging. Without a good match between the ...
Keywords: diversity, recommender system
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3 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: 4
Downloads (6 Weeks): 3,   Downloads (12 Months): 35,   Downloads (Overall): 264

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Search result diversification aims at returning diversified document lists to cover different user intents for ambiguous or broad queries. Existing diversity measures assume that user intents are independent or exclusive, and do not consider the relationships among the intents. In this paper, we introduce intent hierarchies to model the relationships ...
Keywords: ambiguity, diversity, evaluation, hierarchy, novelty
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4 published by ACM
September 2016 RecSys '16: Proceedings of the 10th ACM Conference on Recommender Systems
Publisher: ACM
Bibliometrics:
Citation Count: 7
Downloads (6 Weeks): 6,   Downloads (12 Months): 53,   Downloads (Overall): 498

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The intent-aware diversification framework was introduced initially in information retrieval and adopted to the context of recommender systems in the work of Vargas et al. The framework considers a set of aspects associated with items to be recommended. For instance, aspects may correspond to genres in movie recommendations. The framework ...
Keywords: diversity, intent-aware recommendation, evaluation
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5 published by ACM
November 2018 Proceedings of the ACM on Human-Computer Interaction - CSCW: Volume 2 Issue CSCW, November 2018
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 6,   Downloads (12 Months): 82,   Downloads (Overall): 82

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Following successful crowd ideation contests, organizations in search of the "next big thing" are left with hundreds of ideas. Expert-based idea filtering is lengthy and costly; therefore, crowd-based strategies are often employed. Unfortunately, these strategies typically (1) do not separate the mediocre from the excellent, and (2) direct all the ...
Keywords: diversity, filtering, open innovation
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6 published by ACM
April 2018 SAC '18: Proceedings of the 33rd Annual ACM Symposium on Applied Computing
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 18,   Downloads (Overall): 23

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Twitter is a valuable source of information to keep users up to date on topics they care about. However, timely following the development of long-running events is too difficult due to the velocity and the volume of the published information. Automatically generating a concise summary containing relevant and non-redundant posts ...
Keywords: optimization, temporal diversity, tweet summarization
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7 published by ACM
October 2016 EDB '16: Proceedings of the Sixth International Conference on Emerging Databases: Technologies, Applications, and Theory
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 7,   Downloads (Overall): 27

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How to resolve query ambiguity and how to avoid redundancies in a search result? The redundancy in returned results(e.g., near duplicates) has a negative effect on retrieval effectiveness(i.e., user satisfaction) and there is less benefit in representing relevant yet redundant results to the user repeatedly. So the ambiguity of query ...
Keywords: data envelopment analysis, information retrieval, ranking diversity, diversity evaluation
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8 published by ACM
October 2016 SIGSPACIAL '16: Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 13,   Downloads (Overall): 105

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Large amounts of user-generated content are posted daily on the Web, including textual, spatial and temporal information. Exploiting this content to detect, analyze and monitor events and topics that have a potentially large span in space and time requires efficient retrieval and ranking based on criteria including all three dimensions. ...
Keywords: coverage, diversity, spatio-temporal keyword queries
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9 published by ACM
July 2018 UMAP '18: Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 2,   Downloads (12 Months): 43,   Downloads (Overall): 69

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Many state-of-the-art recommender systems are known to suffer from popularity bias, which means that they have a tendency to recommend items that are already popular, making those items even more popular. This results in the item catalogue being not fully utilised, which is far from ideal from the business' perspective. ...
Keywords: consumer diversity, diversity, item exposure, item-centric evaluation, recommender systems
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10 published by ACM
September 2016 RecSys '16: Proceedings of the 10th ACM Conference on Recommender Systems
Publisher: ACM
Bibliometrics:
Citation Count: 10
Downloads (6 Weeks): 17,   Downloads (12 Months): 151,   Downloads (Overall): 1,404

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We consider the problem of generating diverse, personalized recommendations such that a small set of recommended items covers a broad range of the user's interests. We represent items in a similarity graph, and we formulate the relevance/diversity trade-off as finding a small set of unrated items that best covers a ...
Keywords: coverage, recommender systems, submodular function, diverse recommendation, diverse ranking
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11 published by ACM
July 2016 UMAP '16: Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 15,   Downloads (Overall): 94

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The main goal of recommender systems is to help users to filter all the information available by suggesting items they may like without they had to find them by themselves. Although the rating prediction is a pretty well controlled topic, being able to make a recommendation at the right moment ...
Keywords: recommendation, user privacy, context, diversity
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12 published by ACM
January 2017 ACM Transactions on Intelligent Systems and Technology (TIST) - Special Issue: Mobile Social Multimedia Analytics in the Big Data Era and Regular Papers: Volume 8 Issue 3, April 2017
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 4,   Downloads (12 Months): 47,   Downloads (Overall): 203

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The queries issued to search engines are often ambiguous or multifaceted, which requires search engines to return diverse results that can fulfill as many different information needs as possible; this is called search result diversification . Recently, the relational learning to rank model, which designs a learnable ranking function following ...
Keywords: Search result diversification, relational learning to rank, diversity evaluation measure
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13 published by ACM
March 2016 CHIIR '16: Proceedings of the 2016 ACM on Conference on Human Information Interaction and Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 10
Downloads (6 Weeks): 4,   Downloads (12 Months): 33,   Downloads (Overall): 319

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Longitudinal corpora like newspaper archives are of immense value to historical research, and time as an important factor for historians strongly influences their search behaviour in these archives. While searching for articles published over time, a key preference is to retrieve documents which cover the important aspects from important points ...
Keywords: diversity, historian, historical query intent, historical search task, joint diversification, news archives, temporal diversity, test collection
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14 published by ACM
July 2018 UMAP '18: Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 3,   Downloads (12 Months): 45,   Downloads (Overall): 67

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The trade-off between relevance and fairness in personalized recommendations has been explored in recent works, with the goal of minimizing learned discrimination towards certain demographics while still producing relevant results. We present a fairness-aware variation of the Maximal Marginal Relevance (MMR) re-ranking method which uses representations of demographic groups computed ...
Keywords: diversity, fairness, information retrieval, recommender systems
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15 published by ACM
July 2019 KDD '19: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 29,   Downloads (12 Months): 47,   Downloads (Overall): 47

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Genealogy research is the study of family history using available resources such as historical records. Ancestry provides its customers with one of the world's largest online genealogical index with billions of records from a wide range of sources, including vital records such as birth and death certificates, census records, court ...
Keywords: diversity metric, federated search, genealogy, learning to rank
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16 published by ACM
July 2017 UMAP '17: Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 2,   Downloads (12 Months): 17,   Downloads (Overall): 71

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The intent-aware diversification framework considers a set of aspects associated with items to be recommended. A baseline recommendation is greedily re-ranked using an objective that promotes diversity across the aspects. In this paper the framework is analysed and a new intent-aware objective is derived that considers the minimum variance criterion, ...
Keywords: diversity, intent-aware recommendations, portfolio theory, recommender systems
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17 published by ACM
July 2019 SIGIR'19: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 10,   Downloads (12 Months): 49,   Downloads (Overall): 49

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At Ancestry, we apply learning to rank algorithms to a new area to assist our customers in better understanding their family history. The foundation of our service is an extensive and unique collection of billions of historical records that we have digitized and indexed. Currently, our content collection includes 20 ...
Keywords: diversity metric, federated search, genealogy, learning to rank
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18 published by ACM
July 2018 UMAP '18: Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 10,   Downloads (12 Months): 106,   Downloads (Overall): 145

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Recommender systems for news articles on social media select and filter content through automatic personalization. As a result, users are often unaware of opposing points of view, leading to informational blindspots and potentially polarized opinions. They may be aware of a topic, but only be exposed to one viewpoint on ...
Keywords: diversity based ranking, framing, news recommendation
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19 published by ACM
July 2017 UMAP '17: Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 6,   Downloads (12 Months): 57,   Downloads (Overall): 257

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Much of the focus of recommender systems research has been on the accurate prediction of users' ratings for unseen items. Recent work has suggested that objectives such as diversity and novelty in recommendations are also important factors in the effectiveness of a recommender system. However, methods that attempt to increase ...
Keywords: collaborative filtering, diversity, personalization, recommender systems
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20 published by ACM
March 2011 WWW '11: Proceedings of the 20th international conference companion on World wide web
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 2,   Downloads (12 Months): 8,   Downloads (Overall): 67

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The workshop provides an interdisciplinary forum for researchers and practitioners to present and discuss their ideas related to the challenges posed by diversity on the Web. We address a wide array of interdisciplinary questions, which need to be tackled in order to preserve the fragile balance between a world that ...
Keywords: diversity
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Result 1 – 20 of 1,266
Result page: 1 2 3 4 5 6 7 8 9 10 >>



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