J.A. Konstan et al., "GroupLense: Applying Filtering to Usenet News," Comm. ACM, Vol. 40, No. 3, Mar. 1997, pp. 77--87.  Home/Search   Document Not in Database   Summary   ACM   TOC   Related Articles   Check

....relatives of the proposed application exist in the form of various web agents and recommendation systems. Those applications use text analysis (content based approach) and user matching techniques (collaborative approach) to assist users browsing the web [2,3,4,5,6,7,8,9,10] filter usenet news [11,12] or find specialized info on the internet [13,14,15,16] A well known recommendation system can be found at Amazon.com. There, users create their own profiles, which record the items they looked at or bought. Amazon recommends by looking at other users who bought the same items, and suggests ....

J.A. Konstan et al., "GroupLense: Applying Filtering to Usenet News," Comm. ACM, Vol. 40, No. 3, Mar. 1997, pp. 77--87.

....NEC corp. personalized newspaper LaMacchia [19] Internet Fish MIT find info. on Internet Mitchell et al. 20] Calendar Apprentice CMU meeting scheduling Collaborative agents Rucker and Siteseer Imana, Inc. browsing WWW Marcos [21] Terveen et al. 22] PHOAKS AT T labs. browsing WWW Konstan et al. [23] GroupLense Uni. Minnesota Usenet news filtering Kautz et al. 24, 25] Referral Web AT T labs. finding expert Maes [26] Ringo MIT finding music Firefly MIT music, movie, book Combination of content based and collaborative agent Balabanovi c et al. 5] Fab Stanford browsing WWW Krulwich [27] ....

....A special attention is paid to the problem of distinguishing recommended Web pages (URLs) from advertised or announced pages. The system includes categorization rules that implement a strategy to distinguish different purposes for which the Web resources are mentioned. Konstan et al. [23] developed GroupLense, a collaborative filtering system for Usenet news . The system has a two part database to store (1) ratings that the users have given to messages and (2) correlations between pairs of users based on their ratings. Since each user reads a small percentage of the total number ....

Konstan, J.A., Miller, B.N., Maltz, D., Herlocker, J.L., Gordon, L.R., Riedl, J., GroupLense: Applying Filtering to Usenet News, Communications of the ACM, pp. 77-87, Vol. 40, no. 3, March 1997.

....the degree of overlap (such as common URLs) between the bookmark files of different users and then groups users according to that similarity. When making recommendation, priority is given to URLs from more similar folders and URLs that appear in bookmark files of similar users. Konstan et al. [25] developed GroupLense, a collaborative filtering system for Usenet news . The system has a two part database to store (1) ratings that the users have given to messages and (2) correlations between pairs of users based on their ratings. Since each user reads a small percentage of the total number ....

....CMU meeting scheduling Mladeni c [38] Personal WebWatcher CMU, IJS browsing WWW Collaborative agents Maes [34] Ringo MIT finding music Firefly MIT music, movie, book Terveen et al. 46] PHOAKS AT T labs. browsing WWW Rucker and Marcos [43] Siteseer Imana, Inc. browsing WWW Konstan et al. [25] GroupLense Univ. Minnesota Usenet news filtering Kautz et al. 23] 24] Referral Web AT T labs. finding expert Combination of content based and collaborative agent Balabanovi c and Shoham [5] Fab Stanford browsing WWW Krulwich [28] Lifestyle Finder AgentSoft Ltd. browsing WWW Table 1: Summary ....

Konstan, J.A., Miller, B.N., Maltz, D., Herlocker, J.L., Gordon, L.R., Riedl, J., GroupLense: Applying Filtering to Usenet News, Communications of the ACM, pp. 77-87, Vol. 40, no. 3, March 1997.

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC