Abstract: A stable and safe skin antiseptic solution comprises chlorhexidine, pharmaceutically acceptable salts of chlorhexidine (e.g. chlorhexidine digluconate), or a mixture thereof, dimethyl lauramide/myristamide, and water. Said solution is essentially free of coconut oil diethanolamine concentrate (“cocamide DEA”), a known carcinogen. The active antiseptic ingredient, chlorhexidine (or its salts), is a di(4-chlorophenyldiguanido) compound. The functions of dimethyl lauramide/myristamide in said solution include, but not limited to, an aesthetics enhancer, a foam stabilizer, a solubilizer, and a fragrance. Said solution is specifically formulated to be safe with a reduced risk of carcinogenicity, and be capable of producing a stable and long lasting foam. The active antiseptic agent is evenly distributed in said solution and in said foam, respectively.

Abstract: In selected embodiments a recommendation generator builds a network of interrelationships between venues, reviewers and users based on their attributes and reviewer and user reviews of the venues. Each interrelationship or link may be positive or negative and may accumulate with other links to provide nodal links the strength of which are based on commonality of attributes among the linked nodes and/or common preferences that one node, such as a reviewer, expresses for other nodes, such as venues. The links may be first order (based on a direct relationship between, for instance, a reviewer and a venue) or higher order (based on, for instance, the fact that two venue are both liked by a given reviewer). The recommendation engine in certain embodiments determines recommended venues based on user attributes and venue preferences by aggregating the link matrices and determining the venues which are most strongly coupled to the user.

Abstract: In selected embodiments a recommendation generator builds a network of interrelationships between venues, reviewers and users based on their attributes and reviewer and user reviews of the venues. Each interrelationship or link may be positive or negative and may accumulate with other links (or anti-links) to provide nodal links the strength of which are based on commonality of attributes among the linked nodes and/or common preferences that one node, such as a reviewer, expresses for other nodes, such as venues. The links may be first order (based on a direct relationship between, for instance, a reviewer and a venue) or higher order (based on, for instance, the fact that two venue are both liked by a given reviewer). The recommendation engine in certain embodiments determines recommended venues based on user attributes and venue preferences by aggregating the link matrices and determining the venues which are most strongly coupled to the user.