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 Hassan Sayyadi

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Average citations per article2.63
Citation Count21
Publication count8
Publication years2006-2016
Available for download7
Average downloads per article316.29
Downloads (cumulative)2,214
Downloads (12 Months)375
Downloads (6 Weeks)34
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8 results found Export Results: bibtexendnoteacmrefcsv

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1 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): 6,   Downloads (12 Months): 55,   Downloads (Overall): 106

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For many households the television is the central entertainment hub in their home, and the average TV viewer spends about half of their leisure time in front of a TV. At any given moment, a costumer has hundreds to thousands of entertainment choices available, which makes some sort of automatic, ...
Keywords: big data, movies, recommendations, television, video-on-demand.

2 published by ACM
September 2015 RecSys '15: Proceedings of the 9th ACM Conference on Recommender Systems
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 11,   Downloads (12 Months): 63,   Downloads (Overall): 308

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Despite the rise in video-on-demand consumption, live TV is still the most popular way to consume video entertainment. At Comcast we are developing novel ways to make it easy for our customers to access the live TV content that is interesting and relevant for them at the current moment. In ...
Keywords: movies, recommendations, television, big data, video-on-demand

3 published by ACM
September 2015 RecSys '15: Proceedings of the 9th ACM Conference on Recommender Systems
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 26,   Downloads (Overall): 143

Full text available: PDFPDF
For many households the television is the central entertainment hub in their home, and the average TV viewer spends about half of their leisure time in front of a TV. At any given moment, a costumer has hundreds to thousands of entertainment choices available, which makes some sort of automatic, ...
Keywords: television, big data, video-on-demand, movies, recommendations

4 published by ACM
October 2014 RecSys '14: Proceedings of the 8th ACM Conference on Recommender systems
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 17,   Downloads (Overall): 191

Full text available: PDFPDF
For many households the television is the central entertainment hub in their home, and the average TV viewer spends about half of their leisure time in front of a TV. At any given moment, a customer has hundreds to thousands of entertainment choices available, which makes some sort of automatic, ...
Keywords: big data, video-on-demand, movies, recommendations, television

5 published by ACM
December 2013 ACM Transactions on Internet Technology (TOIT): Volume 13 Issue 2, December 2013
Publisher: ACM
Bibliometrics:
Citation Count: 10
Downloads (6 Weeks): 14,   Downloads (12 Months): 190,   Downloads (Overall): 1,076

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Topic detection with large and noisy data collections such as social media must address both scalability and accuracy challenges. KeyGraph is an efficient method that improves on current solutions by considering keyword cooccurrence. We show that KeyGraph has similar accuracy when compared to state-of-the-art approaches on small, well-annotated collections, and ...
Keywords: network analysis, KeyGraph-based Topic Detection, community detection, Topic detection

6 published by ACM
October 2010 CIKM '10: Proceedings of the 19th ACM international conference on Information and knowledge management
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 8,   Downloads (Overall): 171

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As the social interaction of Internet users increases, so does the need to effectively rank social media. We study the challenges of personalized ranking of blog posts. Web search techniques are inadequate since social media lack many of the characteristics of the Web such as rich document content and an ...
Keywords: blog, ranking, personalization, recommendation, social media

7
June 2008 DILS '08: Proceedings of the 5th international workshop on Data Integration in the Life Sciences
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 2

There is significant knowledge captured through annotations on the life sciences Web. In past research, we developed a methodology of <em>support</em>and <em>confidence</em>metrics from association rule mining, to mine the <em>association bridge</em>(of <em>termlinks</em>) between pairs of controlled vocabulary (CV) terms across two ontologies. Our (naive) approach did not exploit the following: ...
Keywords: generalized association rule mining, life sciences link (LSLink), annotation, controlled vocabulary (CV) terms, support and confidence

8
December 2006 WI '06: Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 9
Downloads (6 Weeks): 0,   Downloads (12 Months): 16,   Downloads (Overall): 219

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The rapid growth of the world-wide web poses unprecedented scaling challenges for general-purpose crawlers and search engines. A focused crawler aims at selectively seek out pages that are relevant to a pre-defined set of topics. Besides specifying topics by some keywords, it is customary also to use some exemplary documents ...



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