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Traditional recommender systems generate personalized recommendations based on a profile that they create for each user. We argue here that such profiles are often too coarse to capture the current user's state of mind and desire. For example, a serious user that usually prefers documentary features may, at the end of a long and tiring conference, be in the mood for a lighter entertaining movie, not captured by her usual profile. As communicating one's state of mind to a system in (key)wordsdoi:10.1145/2452376.2452463 dblp:conf/edbt/BoimM13 fatcat:rjdqgi5huje2dao2cs3qcmcmgy
more »... be difficult, we present in this demo Mood4 -a novel plug-in for recommender systems, which allows users to describe their current desire/mood through examples. Mood4 utilizes the user's examples to refine the recommendations generated by a given recommender system, considering several, possibly competing, desired properties of the recommended items set (rating, diversity, coverage). The system uses a novel algorithm, based on a simple geometric representation of the items, which allows for efficient processing and the generation of suitable recommendations even in the absence of semantic information.
Online shopping has grown rapidly over the past few years. Besides the convenience of shopping directly from ones home, an important advantage of e-commerce is the great variety of items that online stores offer. However, with such a large number of items, it becomes harder for vendors to determine which items are more relevant for a given user. Recommender Systems are programs that attempt to assist in such scenarios by presenting the user a small subset of items which she is likely to finddoi:10.1109/icdew.2011.5767667 dblp:conf/icde/BoimM11 fatcat:kl6qf3iqkfdt7pzpvvdra72xnq
more »... eresting. We consider in this work a popular class of such systems that are based on Collaborative Filtering (CF for short). CF is the process of predicting user ratings to items based on previous ratings of (similar) users to (similar) items. The objective of this research is to develop new algorithms and methods for boosting CF based Recommender Systems. Specifically, we focus on the following four challenges: (1) improving the quality of the predictions that such systems provide; (2) devising new methods for choosing the recommended items to be presented to the users; (3) improving the efficiency of CF algorithms and related data structures; (4) incorporating recommendation algorithms in different application domains.
We consider in this paper a popular class of recommender systems that are based on Collaborative Filtering (CF for short). CF is the process of predicting customer ratings to items based on previous ratings of (similar) users to (similar) items, and is typically used by a single organization, using its own customer ratings. We argue here that a multi-organization collaboration, even for organizations operating in different subject domains, can greatly improve the quality of the recommendationsdoi:10.1145/1859127.1859143 dblp:conf/webdb/BoimKMR10 fatcat:2yuo3gls7vgt5bwcxsicvh4coe
more »... hat the individual organizations provide to their users. To substantiate this claim, we present C2F (Collaborative CF), a recommender system that retains the simplicity and efficiency of classical CF, while allowing distinct organizations to collaborate and boost their recommendations. C2F employs CF in a distributed fashion that improves the quality of the generated recommendations, while minimizing the amount of data exchanged between the collaborating parties. Key ingredient of the solution are succinct signatures that can be computed locally for items (users) in a given organization and suffice for identifying similar items (users) in the collaborating organizations. We show that the use of such compact signatures not only reduces data exchange but also allows to speed up, by over 50%, the recommendations computation time.
In this demo we present DiRec , a plug-in that allows Collaborative Filtering (CF) Recommender systems to diversify the recommendations that they present to users. Di-Rec estimates items diversity by comparing the rankings that different users gave to the items, thereby enabling diversification even in common scenarios where no semantic information on the items is available. Items are clustered based on a novel notion of priority-medoids that provides a natural balance between the need todoi:10.1109/icde.2011.5767942 dblp:conf/icde/BoimMN11 fatcat:kbz4pcl2yvbslf4xnnzcylviwa
more »... t highly ranked items vs. highly diverse ones. We demonstrate the operation of DiRec in the context of a movie recommendation system. We show the advantage of recommendation diversification and its feasibility even in the absence of semantic information.
This demonstration presents RMFinder (Related Messages Finder), a system that retains the simplicity and efficiency of topic-based P2P pub-sub, while providing a richer service where users can automatically receive all messages related to those in the topics to which they are subscribed. RMFinder is based on a novel, dynamic, distributed clustering algorithm, that takes advantage of similarities between topic messages to group topics together, into topic-clusters. The clusters adjustdoi:10.1145/1376616.1376767 dblp:conf/sigmod/BoimM08 fatcat:rvxzs6xkh5dj3muvmchf626eti
more »... ly to shifts in the focus of the messages published by the topics, as well as to changes in the users interest, and allow for an effective delivery of related messages with minimal overhead.
This paper considers a popular class of recommender systems that are based on Collaborative Filtering (CF) and proposes a novel technique for diversifying the recommendations that they give to users. Items are clustered based on a unique notion of prioritymedoids that provides a natural balance between the need to present highly ranked items vs. highly diverse ones. Our solution estimates items diversity by comparing the rankings that different users gave to the items, thereby enablingdoi:10.1145/2063576.2063684 dblp:conf/cikm/BoimMN11 fatcat:bde5oup455brvd5u2jqmi7ntmu
more »... cation even in common scenarios where no semantic information on the items is available. It also provides a natural zoom-in mechanism to focus on items (clusters) of interest and recommending diversified similar items. We present DiRec , a plug-in that implements the above concepts and allows CF Recommender systems to diversify their recommendations. We illustrate the operation of DiRec in the context of a movie recommendation system and present a thorough experimental study that demonstrates the effectiveness of our recommendation diversification technique and its superiority over previous solutions.
Crowd-based data sourcing is a new and powerful data procurement paradigm that engages Web users to collectively contribute information. In this work we target the problem of gathering data from the crowd in an economical and principled fashion. We present AskIt! , a system that allows interactive data sourcing applications to effectively determine which questions should be directed to which users for reducing the uncertainty about the collected data. AskIt! uses a set of novel algorithms fordoi:10.1109/icde.2012.122 dblp:conf/icde/BoimGMNPT12 fatcat:rw25s7okkvghjalo7x6b7oudeq
more »... nimizing the number of probing (questions) required from the different users. We demonstrate the challenge and our solution in the context of a multiple-choice question game played by the ICDE'12 attendees, targeted to gather information on the conference's publications, authors and colleagues.
The Mirror, Monthly Magazine
See, the sun’s orb of flame, With its deep ruby tint, new-risen serene, Lights up each massive frame ; Source of hereditary pride I ween, Could aught of pride that morning look around, Reckoning the lineage ... YESTERDAY, at the decline of day, my cabriolet was rapidly rolling by Sainte Mene- hould, at which time I was reading these sublime and beautiful lines— ‘“* Mugitusque boim mollesque sub arbore somni. ...
Rubi Boim, Haim Kaplan, Tova Milo, Ronitt Rubinfeld (Tel-Aviv University). ...doi:10.1145/1942776.1942787 fatcat:xmbrywp4w5edjfg5xmqn5zlf3y
14'50" 20'00" 32'50" II 24 , 8'35" 12'00" 15'00" 0 0 spontan 7'00" 18'10" -- 48 , geronnea 24 ~ 12'20" 13'30" 16'30" 0 0 0 IIt 48 spontan 13'00" 21'00" -- " geronnon boim ... Ente Wach~et Rubi Gemse R(~si Spiegel Tulpe . Tag der Unter- suchung 8~ure-Aide- grad hydzah Labgerinnungs- dauer I 4. ]I. 05 6,6 I 6,4 5,7 6,7 10,2 9A 6. ...doi:10.1007/bf02010073 fatcat:ja7hvpgywzenjndrgt6kx6yxlq
Parquoy ne font pas mal d'orner leurs doigts et enrichir leurs vesteinens de belles pierres précieuses, comme saphir, esmeraude, rubis et diamans. ... La chair de mouton, veau, chevreau, levraux, lapreaux, poullets, pigeonneaux, perdiaux, phaisans, cailles, tourterelles, alloüettes et tous oyseaux de montagnes, leur, est boime. ...doi:10.5169/seals-218571 fatcat:ofeg5wohnbhbnmi5cwcryn6jii
Parquoy ne font pas mal d'orner leurs doigts et enrichir leurs vesteinens de belles pierres précieuses, comme saphir, esmeraude, rubis et diamans. ... La chair de mouton, veau, chevreau, levraux, lapreaux, poullets, pigeonneaux, perdiaux, phaisans, cailles, tourterelles, alloüettes et tous oyseaux de montagnes, leur, est boime. ...doi:10.5169/seals-218570 fatcat:xwo6pvddn5fhfigsfeuutkxd3q
in Albert Boime, The Magisterial Gaze: Manifest Destiny and American Landscape Painting c. 1830 -1865 . ... (Marge Piercy, "Outcome of the Matter: The Sun," in (Ruby Rohrlich and Elaine Hoffman Baruch, Editors), Women in Search of Utopia: Mavericks and Mythmakers. ...doi:10.1515/abcsj-2015-0008 fatcat:wiyyfkedjjei7a4h7d27rxo7sm
Sirtori CR, Boime P, Azarnoff DL (1972) Metabolic response to acute and chronic L-dopa administration in patients with Parkinson’s disease. New Engl J Med 287:729-733. 190. ... Subsequently, the development of molecular biology allows us to identify entire functional DA signaling machinery in pancreatic β-cells (Rubì et al., 2005; Saisho et al., 2008). ...doi:10.4103/1673-5374.320965 pmid:34380882 pmcid:PMC8504381 fatcat:doy4qfxhrjfnhh5fcgqvcfftwq
She too was a trained botanist, with graduate training at Boim, and was joint author with her husband of several articles in his long scientific bibliography. ... Missouri, Public Library: the Americana in general, including the Midwestern and local history, the American travels, and the Mormon collection, numbering about 1 See particularly their "Mammals of the Ruby ...doi:10.1086/pbsa.55.3.24299415 fatcat:hv473mc3ezar3kem4s76awpwve
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