{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T16:46:43Z","timestamp":1781110003271,"version":"3.54.1"},"reference-count":10,"publisher":"IGI Global Scientific Publishing","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012,4,1]]},"abstract":"<p>In the Internet era, information processing for personalization and relevance has been one of the key topics of research and development. It ranges from design of applications like search engines, web crawlers, learning engines to reverse image searches, audio processed search, auto complete, etc. Information retrieval plays a vital role in most of the above mentioned applications. A part of information retrieval which deals with personalization and rendering is often referred to as Information Filtering. The emphasis of this paper is to empirically analyze the information filters commonly seen and to analyze their correctness and effects. The measure of correctness is not in terms of percentage of correct results but instead a rational approach of analysis using a non mathematical argument is presented. Filters employed by Google\u2019s search engine are used to analyse the effects of filtering on the web. A plausible solution to the errors of filtering phenomenon is also discussed.<\/p>","DOI":"10.4018\/ijirr.2012040101","type":"journal-article","created":{"date-parts":[[2013,2,6]],"date-time":"2013-02-06T11:41:48Z","timestamp":1360150908000},"page":"1-12","source":"Crossref","is-referenced-by-count":0,"title":["Effects of Information Filters"],"prefix":"10.4018","volume":"2","author":[{"given":"K. G.","family":"Srinivasa","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, M.S. Ramaiah Institute of Technology, Bangalore, Karnataka, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"N.","family":"Pramod","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, M.S. Ramaiah Institute of Technology, Bangalore, Karnataka, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"K. R.","family":"Venugopal","sequence":"additional","affiliation":[{"name":"University Visvesvaraya College of Engineering, Bangalore University, Bangalore, Karnataka, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"L. M.","family":"Patnaik","sequence":"additional","affiliation":[{"name":"Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore, Karnataka, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"ijirr.2012040101-0","author":"K.Aas","year":"1997","journal-title":"A survey on personalized information filtering systems for the world wide web (Rep No. 922)"},{"key":"ijirr.2012040101-1","doi-asserted-by":"crossref","unstructured":"Adar, E., Teevan, J., Dumais, S. T., & Elsas, J. L. (2009). The web changes everything: Understanding the dynamics of web content. In Proceedings of the 2nd ACM International Conference on Web Search and Data Mining (WSDM'09) (pp. 282-291). New York, NY: ACM.","DOI":"10.1145\/1498759.1498837"},{"key":"ijirr.2012040101-2","doi-asserted-by":"crossref","unstructured":"Agichtein, E., Brill, E., & Dumais, S. (2006). Improving Web Search Ranking by Incorporating User Behavior Information. In Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '06).","DOI":"10.1145\/1148170.1148177"},{"key":"ijirr.2012040101-3","unstructured":"Asoh, H., Motomura, Y., & Ono, C. (2010). A Bayesian hierarchical preference model for context-aware recommendations. In Adjunct Proceedings of the 18th International Conference on User Modeling, Adaptation, and Personalization."},{"key":"ijirr.2012040101-4","unstructured":"Canavese, P. (1994). The future of information filtering. Retrieved March 19, 2012, from http:\/\/besser.tsoa.nyu.edu\/impact\/s94\/students\/paul\/paul_final.html"},{"key":"ijirr.2012040101-5","unstructured":"Content Filter. (n.d.) Information filter. Retrieved March 19, 2012, from http:\/\/searchsecurity.techtarget.com\/definition\/content-filtering"},{"key":"ijirr.2012040101-6","doi-asserted-by":"publisher","DOI":"10.1145\/963770.963772"},{"key":"ijirr.2012040101-7","doi-asserted-by":"publisher","DOI":"10.1145\/360402.360406"},{"key":"ijirr.2012040101-8","doi-asserted-by":"crossref","unstructured":"L\u00f3pez, S., & Silva, J. (2010). A new information filtering method for webpages. In Proceedings of the Workshops on Database and Expert Systems Applications. Modeling on the World Wide Web, and 7th International Conference on User Modeling, Banff, Canada.","DOI":"10.1109\/DEXA.2010.28"},{"key":"ijirr.2012040101-9","unstructured":"O\u2019 Riordan, C., & Sorensen, H. (1994). Information filtering and retrieval: An overview. In Proceedings of the 16th Annual International Conference of the IEEE Information Systems, Baltimore, MD (pp. A42-A49)."}],"container-title":["International Journal of Information Retrieval Research"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=74780","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T17:56:18Z","timestamp":1654106178000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/ijirr.2012040101"}},"subtitle":["A Phenomenon on the Web"],"short-title":[],"issued":{"date-parts":[[2012,4,1]]},"references-count":10,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2012,4]]}},"URL":"https:\/\/doi.org\/10.4018\/ijirr.2012040101","relation":{},"ISSN":["2155-6377","2155-6385"],"issn-type":[{"value":"2155-6377","type":"print"},{"value":"2155-6385","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,4,1]]}}}